Thu Jan 19 03:19:14 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/recon-all -s 004 -all subjid 004 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Actual FREESURFER_HOME /autofs/cluster/freesurfer/build/pub-releases/v6.0.0/freesurfer build-stamp.txt: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c Linux compute-0-39 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux cputime unlimited filesize unlimited datasize unlimited stacksize 10240 kbytes coredumpsize 0 kbytes memoryuse unlimited vmemoryuse 7340032 kbytes descriptors 32768 memorylocked unlimited maxproc 95998 total used free shared buffers cached Mem: 24604280 24408632 195648 4 6928 10583516 -/+ buffers/cache: 13818188 10786092 Swap: 67108860 65980 67042880 pbsjob 13435915.launchpad.nmr.mgh.harvard.edu ######################################## program versions used $Id: recon-all,v 1.580.2.16 2017/01/18 14:11:24 zkaufman Exp $ $Id: mri_motion_correct.fsl,v 1.15 2016/02/16 17:17:20 zkaufman Exp $ mri_convert.bin -all-info ProgramName: mri_convert.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:14-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 FLIRT version 5.5 $Id: talairach_avi,v 1.13 2015/12/23 04:25:17 greve Exp $ mri_convert.bin --version stable6 ProgramName: tkregister2_cmdl ProgramArguments: --all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:15-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: tkregister2.c,v 1.132.2.1 2016/08/02 21:17:29 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 ProgramName: mri_make_uchar ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:24-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_make_uchar.c,v 1.4 2011/03/02 00:04:14 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:24-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize.c,v 1.88.2.3 2016/12/27 16:47:13 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:24-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_watershed.cpp,v 1.103 2016/06/17 18:00:49 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_gcut ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:24-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_gcut.cpp,v 1.14 2011/03/02 00:04:16 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:24-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segment.c,v 1.43.2.1 2016/10/27 22:24:52 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_label2label.bin ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:25-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_label2label.c,v 1.48.2.2 2016/12/12 14:15:26 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:25-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_em_register.c,v 1.105.2.1 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:25-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_normalize.c,v 1.67.2.2 2016/10/27 22:25:09 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:25-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_register.c,v 1.96.2.3 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:25-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_label.c,v 1.113.2.2 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_pretess ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:25-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_pretess.c,v 1.22 2013/08/30 18:12:25 mreuter Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:25-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fill.c,v 1.119 2011/10/25 14:09:58 fischl Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:26-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_concatenate_lta.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:26-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_concatenate_lta.c,v 1.16 2015/11/21 00:06:20 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize_tp2 ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:26-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize_tp2.c,v 1.8 2011/03/02 00:04:23 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:26-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_smooth.c,v 1.30 2014/01/21 18:48:21 fischl Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:26-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_inflate.c,v 1.45 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:26-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature.c,v 1.31 2011/03/02 00:04:30 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:26-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:27-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_topo_fixer ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:27-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_topo_fixer.cpp,v 1.29 2011/03/02 00:04:34 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:27-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:27-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_euler_number.c,v 1.10 2013/01/14 22:39:14 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:28-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:28-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_volmask ProgramArguments: --all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:19:28-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_volmask.cpp,v 1.26.2.2 2016/11/18 20:05:18 zkaufman Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_anatomical_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:29-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_anatomical_stats.c,v 1.79 2016/03/14 15:15:34 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:29-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mrisp_paint.c,v 1.12 2016/03/22 14:47:57 fischl Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:29-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature_stats.c,v 1.65 2015/06/04 20:50:51 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_calc ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:29-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_calc.c,v 1.54.2.1 2016/09/27 18:51:28 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ ProgramName: mri_robust_register.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:29-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ ProgramName: mri_robust_template ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:30-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_and ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:30-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_and.c,v 1.4 2011/03/02 00:04:13 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_or ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:30-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_or.c,v 1.5 2013/03/20 15:03:29 lzollei Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fuse_segmentations ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:30-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fuse_segmentations.c,v 1.8 2011/03/02 00:04:15 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segstats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:30-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_relabel_hypointensities ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:19:31-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_relabel_hypointensities.c,v 1.13 2015/05/15 18:44:10 nicks Exp $ User: zkaufman Machine: compute-0-39 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ####################################### GCADIR /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average GCA RB_all_2016-05-10.vc700.gca GCASkull RB_all_withskull_2016-05-10.vc700.gca AvgCurvTif folding.atlas.acfb40.noaparc.i12.2016-08-02.tif GCSDIR /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average GCS DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ####################################### #-------------------------------------------- #@# MotionCor Thu Jan 19 03:19:31 EST 2017 Found 4 runs /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006.mgz Checking for (invalid) multi-frame inputs... Checking for (invalid) multi-frame inputs... Checking for (invalid) multi-frame inputs... Checking for (invalid) multi-frame inputs... /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 mri_robust_template --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006.mgz --average 1 --template /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz --satit --inittp 1 --fixtp --noit --iscale --iscaleout /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006-iscale.txt --subsample 200 --lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006.lta $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006.mgz as movable/source volume. Total: 4 input volumes --average: Using method 1 for template computation. --template: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz as template output volume. --satit: Will estimate SAT iteratively! --inittp: Using TP 1 as target for initialization --fixtp: Will map everything to init TP! --noit: Will output only first template (no iterations)! --iscale: Enableing intensity scaling! --iscaleout: Will perform intensity scaling and output results --subsample: Will subsample if size is larger than 200 on all axes! --lta: Will output LTA transforms Setting iscale ... reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006.mgz' to bspline ... MRItoBSpline degree 3 MultiRegistration::initializing Xforms (init 1 , maxres 0 , iterate 5 , epsit 0.01 ) : [init] ========================= TP 2 to TP 1 ============================== Register TP 2 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/004.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz ) - Max Resolution used: 2 -- gpS ( 64 , 64 , 64 ) -- gpT ( 64 , 64 , 64 ) - running loop to estimate saturation parameter: [init] ========================= TP 3 to TP 1 ============================== Register TP 3 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/005.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz ) - Max Resolution used: 2 -- gpS ( 64 , 64 , 64 ) -- gpT ( 64 , 64 , 64 ) - running loop to estimate saturation parameter: [init] ========================= TP 4 to TP 1 ============================== Register TP 4 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/006.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig/003.mgz ) - Max Resolution used: 2 -- gpS ( 64 , 64 , 64 ) -- gpT ( 64 , 64 , 64 ) - running loop to estimate saturation parameter: * WARNING: TP 2 to 1 did not converge !! * WARNING: TP 3 to 1 did not converge !! mapping movs and creating initial template... allow intensity scaling using median Writing final template: /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz Writing final transforms (warps etc.)... Determinant( lta[ 0 ]) : 1 Determinant( lta[ 1 ]) : 1 Determinant( lta[ 2 ]) : 1 Determinant( lta[ 3 ]) : 1 registration took 5 minutes and 0 seconds. Thank you for using RobustTemplate! If you find it useful and use it for a publication, please cite: Within-Subject Template Estimation for Unbiased Longitudinal Image Analysis M. Reuter, N.J. Schmansky, H.D. Rosas, B. Fischl. NeuroImage 2012. http://dx.doi.org/10.1016/j.neuroimage.2012.02.084 http://reuter.mit.edu/papers/reuter-long12.pdf @#@FSTIME 2017:01:19:03:19:33 mri_robust_template N 27 e 299.96 S 17.12 U 281.20 P 99% M 1124984 F 13 R 3840079 W 0 c 11692 w 279 I 5584 O 7480 L 4.66 4.18 4.38 @#@FSLOADPOST 2017:01:19:03:24:33 mri_robust_template N 27 5.46 5.24 4.80 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 mri_convert /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz --conform mri_convert.bin /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz --conform $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz... @#@FSTIME 2017:01:19:03:24:33 mri_convert N 3 e 1.85 S 0.03 U 1.58 P 87% M 21472 F 9 R 6215 W 0 c 222 w 170 I 4752 O 7416 L 5.46 5.24 4.80 @#@FSLOADPOST 2017:01:19:03:24:35 mri_convert N 3 5.46 5.24 4.80 mri_add_xform_to_header -c /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/transforms/talairach.xfm /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz INFO: extension is mgz @#@FSTIME 2017:01:19:03:24:35 mri_add_xform_to_header N 4 e 2.47 S 0.03 U 2.21 P 90% M 21008 F 12 R 5330 W 0 c 284 w 275 I 10000 O 7416 L 5.46 5.24 4.80 @#@FSLOADPOST 2017:01:19:03:24:38 mri_add_xform_to_header N 4 5.42 5.23 4.80 #-------------------------------------------- #@# Talairach Thu Jan 19 03:24:38 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_nu_correct.mni --no-rescale --i orig.mgz --o orig_nu.mgz --n 1 --proto-iters 1000 --distance 50 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/mri_nu_correct.mni --no-rescale --i orig.mgz --o orig_nu.mgz --n 1 --proto-iters 1000 --distance 50 nIters 1 $Id: mri_nu_correct.mni,v 1.27 2016/02/26 16:19:49 mreuter Exp $ Linux compute-0-39 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux Thu Jan 19 03:24:38 EST 2017 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 /usr/bin/bc tmpdir is ./tmp.mri_nu_correct.mni.27522 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_convert orig.mgz ./tmp.mri_nu_correct.mni.27522/nu0.mnc -odt float mri_convert.bin orig.mgz ./tmp.mri_nu_correct.mni.27522/nu0.mnc -odt float $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from orig.mgz... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) changing data type from uchar to float (noscale = 0)... writing to ./tmp.mri_nu_correct.mni.27522/nu0.mnc... -------------------------------------------------------- Iteration 1 Thu Jan 19 03:24:48 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.27522/nu0.mnc ./tmp.mri_nu_correct.mni.27522/nu1.mnc -tmpdir ./tmp.mri_nu_correct.mni.27522/0/ -iterations 1000 -distance 50 [zkaufman@compute-0-39:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/] [2017-01-19 03:24:48] running: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 1000 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1.0e-7 -distance 50 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.27522/0/ ./tmp.mri_nu_correct.mni.27522/nu0.mnc ./tmp.mri_nu_correct.mni.27522/nu1.imp Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 29 CV of field change: 0.000996289 mri_convert ./tmp.mri_nu_correct.mni.27522/nu1.mnc orig_nu.mgz --like orig.mgz --conform mri_convert.bin ./tmp.mri_nu_correct.mni.27522/nu1.mnc orig_nu.mgz --like orig.mgz --conform $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from ./tmp.mri_nu_correct.mni.27522/nu1.mnc... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) INFO: transform src into the like-volume: orig.mgz changing data type from float to uchar (noscale = 0)... MRIchangeType: Building histogram writing to orig_nu.mgz... Thu Jan 19 03:27:13 EST 2017 mri_nu_correct.mni done @#@FSTIME 2017:01:19:03:24:38 mri_nu_correct.mni N 11 e 155.43 S 7.62 U 74.26 P 52% M 166688 F 40 R 440125 W 0 c 22548 w 26751 I 89752 O 1311872 L 5.42 5.23 4.80 @#@FSLOADPOST 2017:01:19:03:27:13 mri_nu_correct.mni N 11 5.16 5.18 4.84 talairach_avi --i orig_nu.mgz --xfm transforms/talairach.auto.xfm talairach_avi log file is transforms/talairach_avi.log... Started at Thu Jan 19 03:27:13 EST 2017 Ended at Thu Jan 19 03:28:51 EST 2017 talairach_avi done @#@FSTIME 2017:01:19:03:27:13 talairach_avi N 4 e 98.00 S 6.95 U 63.99 P 72% M 253836 F 21 R 301163 W 0 c 9254 w 8530 I 281528 O 296088 L 5.16 5.18 4.84 @#@FSLOADPOST 2017:01:19:03:28:51 talairach_avi N 4 5.01 5.13 4.85 cp transforms/talairach.auto.xfm transforms/talairach.xfm #-------------------------------------------- #@# Talairach Failure Detection Thu Jan 19 03:28:53 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri talairach_afd -T 0.005 -xfm transforms/talairach.xfm talairach_afd: Talairach Transform: transforms/talairach.xfm OK (p=0.7177, pval=0.4932 >= threshold=0.0050) @#@FSTIME 2017:01:19:03:28:53 talairach_afd N 4 e 0.22 S 0.00 U 0.00 P 5% M 3372 F 12 R 915 W 0 c 163 w 38 I 10056 O 0 L 4.93 5.11 4.84 @#@FSLOADPOST 2017:01:19:03:28:54 talairach_afd N 4 4.93 5.11 4.84 awk -f /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/extract_talairach_avi_QA.awk /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/transforms/talairach_avi.log tal_QC_AZS /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/transforms/talairach_avi.log TalAviQA: 0.97849 z-score: 0 #-------------------------------------------- #@# Nu Intensity Correction Thu Jan 19 03:28:54 EST 2017 mri_nu_correct.mni --i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/mri_nu_correct.mni --i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2 nIters 2 $Id: mri_nu_correct.mni,v 1.27 2016/02/26 16:19:49 mreuter Exp $ Linux compute-0-39 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux Thu Jan 19 03:28:54 EST 2017 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 /usr/bin/bc tmpdir is ./tmp.mri_nu_correct.mni.28283 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_convert orig.mgz ./tmp.mri_nu_correct.mni.28283/nu0.mnc -odt float mri_convert.bin orig.mgz ./tmp.mri_nu_correct.mni.28283/nu0.mnc -odt float $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from orig.mgz... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) changing data type from uchar to float (noscale = 0)... writing to ./tmp.mri_nu_correct.mni.28283/nu0.mnc... -------------------------------------------------------- Iteration 1 Thu Jan 19 03:29:02 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.28283/nu0.mnc ./tmp.mri_nu_correct.mni.28283/nu1.mnc -tmpdir ./tmp.mri_nu_correct.mni.28283/0/ [zkaufman@compute-0-39:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/] [2017-01-19 03:29:02] running: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 50 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1.0e-7 -distance 200 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.28283/0/ ./tmp.mri_nu_correct.mni.28283/nu0.mnc ./tmp.mri_nu_correct.mni.28283/nu1.imp Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 22 CV of field change: 0.000972061 -------------------------------------------------------- Iteration 2 Thu Jan 19 03:30:42 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.28283/nu1.mnc ./tmp.mri_nu_correct.mni.28283/nu2.mnc -tmpdir ./tmp.mri_nu_correct.mni.28283/1/ [zkaufman@compute-0-39:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/] [2017-01-19 03:30:43] running: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 50 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1.0e-7 -distance 200 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.28283/1/ ./tmp.mri_nu_correct.mni.28283/nu1.mnc ./tmp.mri_nu_correct.mni.28283/nu2.imp Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 16 CV of field change: 0.0009954 mri_binarize --i ./tmp.mri_nu_correct.mni.28283/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.28283/ones.mgz $Id: mri_binarize.c,v 1.43 2016/06/09 20:46:21 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri cmdline mri_binarize.bin --i ./tmp.mri_nu_correct.mni.28283/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.28283/ones.mgz sysname Linux hostname compute-0-39 machine x86_64 user zkaufman input ./tmp.mri_nu_correct.mni.28283/nu2.mnc frame 0 nErode3d 0 nErode2d 0 output ./tmp.mri_nu_correct.mni.28283/ones.mgz Binarizing based on threshold min -1 max +infinity binval 1 binvalnot 0 fstart = 0, fend = 0, nframes = 1 Found 16777216 values in range Counting number of voxels in first frame Found 16777216 voxels in final mask Count: 16777216 16777216.000000 16777216 100.000000 mri_binarize done mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.28283/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.28283/sum.junk --avgwf ./tmp.mri_nu_correct.mni.28283/input.mean.dat $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.28283/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.28283/sum.junk --avgwf ./tmp.mri_nu_correct.mni.28283/input.mean.dat sysname Linux hostname compute-0-39 machine x86_64 user zkaufman UseRobust 0 Loading ./tmp.mri_nu_correct.mni.28283/ones.mgz Loading orig.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 1 segmentations Computing statistics for each segmentation Reporting on 1 segmentations Using PrintSegStat Computing spatial average of each frame 0 Writing to ./tmp.mri_nu_correct.mni.28283/input.mean.dat mri_segstats done mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.28283/ones.mgz --i ./tmp.mri_nu_correct.mni.28283/nu2.mnc --sum ./tmp.mri_nu_correct.mni.28283/sum.junk --avgwf ./tmp.mri_nu_correct.mni.28283/output.mean.dat $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.28283/ones.mgz --i ./tmp.mri_nu_correct.mni.28283/nu2.mnc --sum ./tmp.mri_nu_correct.mni.28283/sum.junk --avgwf ./tmp.mri_nu_correct.mni.28283/output.mean.dat sysname Linux hostname compute-0-39 machine x86_64 user zkaufman UseRobust 0 Loading ./tmp.mri_nu_correct.mni.28283/ones.mgz Loading ./tmp.mri_nu_correct.mni.28283/nu2.mnc Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 1 segmentations Computing statistics for each segmentation Reporting on 1 segmentations Using PrintSegStat Computing spatial average of each frame 0 Writing to ./tmp.mri_nu_correct.mni.28283/output.mean.dat mri_segstats done mris_calc -o ./tmp.mri_nu_correct.mni.28283/nu2.mnc ./tmp.mri_nu_correct.mni.28283/nu2.mnc mul 1.04028551443469413709 Saving result to './tmp.mri_nu_correct.mni.28283/nu2.mnc' (type = MINC ) [ ok ] mri_convert ./tmp.mri_nu_correct.mni.28283/nu2.mnc nu.mgz --like orig.mgz mri_convert.bin ./tmp.mri_nu_correct.mni.28283/nu2.mnc nu.mgz --like orig.mgz $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from ./tmp.mri_nu_correct.mni.28283/nu2.mnc... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) INFO: transform src into the like-volume: orig.mgz writing to nu.mgz... mri_make_uchar nu.mgz transforms/talairach.xfm nu.mgz type change took 0 minutes and 11 seconds. mapping (13, 124) to ( 3, 110) Thu Jan 19 03:33:38 EST 2017 mri_nu_correct.mni done @#@FSTIME 2017:01:19:03:28:54 mri_nu_correct.mni N 8 e 284.12 S 8.28 U 152.18 P 56% M 612500 F 15 R 773010 W 0 c 38780 w 45527 I 100248 O 2451056 L 4.93 5.11 4.84 @#@FSLOADPOST 2017:01:19:03:33:38 mri_nu_correct.mni N 8 5.02 5.05 4.88 mri_add_xform_to_header -c /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/transforms/talairach.xfm nu.mgz nu.mgz INFO: extension is mgz @#@FSTIME 2017:01:19:03:33:38 mri_add_xform_to_header N 4 e 2.05 S 0.02 U 1.53 P 75% M 21088 F 0 R 5361 W 0 c 122 w 143 I 0 O 6960 L 5.02 5.05 4.88 @#@FSLOADPOST 2017:01:19:03:33:40 mri_add_xform_to_header N 4 5.02 5.05 4.88 #-------------------------------------------- #@# Intensity Normalization Thu Jan 19 03:33:40 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_normalize -g 1 -mprage nu.mgz T1.mgz using max gradient = 1.000 assuming input volume is MGH (Van der Kouwe) MP-RAGE reading from nu.mgz... normalizing image... talairach transform 1.06114 0.02080 -0.01291 1.20050; -0.03971 0.95581 0.17752 -5.61196; -0.01404 -0.13682 1.04187 -7.76184; 0.00000 0.00000 0.00000 1.00000; processing without aseg, no1d=0 MRInormInit(): INFO: Modifying talairach volume c_(r,a,s) based on average_305 MRInormalize(): MRIsplineNormalize(): npeaks = 14 Starting OpenSpline(): npoints = 14 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Iterating 2 times --------------------------------- 3d normalization pass 1 of 2 white matter peak found at 110 white matter peak found at 106 gm peak at 54 (54), valley at 24 (24) csf peak at 27, setting threshold to 45 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... --------------------------------- 3d normalization pass 2 of 2 white matter peak found at 110 white matter peak found at 110 gm peak at 56 (56), valley at 25 (25) csf peak at 28, setting threshold to 46 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to T1.mgz 3D bias adjustment took 2 minutes and 45 seconds. @#@FSTIME 2017:01:19:03:33:41 mri_normalize N 5 e 167.13 S 0.78 U 165.99 P 99% M 552912 F 0 R 267604 W 0 c 956 w 136 I 0 O 6784 L 5.02 5.05 4.88 @#@FSLOADPOST 2017:01:19:03:36:28 mri_normalize N 5 5.24 5.08 4.91 #-------------------------------------------- #@# Skull Stripping Thu Jan 19 03:36:28 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_em_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mri_em_register.skull.dat -skull nu.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_withskull_2016-05-10.vc700.gca transforms/talairach_with_skull.lta aligning to atlas containing skull, setting unknown_nbr_spacing = 5 == Number of threads available to mri_em_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach_with_skull.log reading '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_withskull_2016-05-10.vc700.gca'... average std = 22.9 using min determinant for regularization = 52.6 0 singular and 9002 ill-conditioned covariance matrices regularized reading 'nu.mgz'... freeing gibbs priors...done. accounting for voxel sizes in initial transform bounding unknown intensity as < 8.7 or > 569.1 total sample mean = 77.6 (1399 zeros) ************************************************ spacing=8, using 3243 sample points, tol=1.00e-05... ************************************************ register_mri: find_optimal_transform find_optimal_transform: nsamples 3243, passno 0, spacing 8 resetting wm mean[0]: 100 --> 108 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=9.0 skull bounding box = (47, 35, 9) --> (206, 219, 226) using (100, 96, 118) as brain centroid... mean wm in atlas = 108, using box (80,73,91) --> (119, 118,144) to find MRI wm before smoothing, mri peak at 109 robust fit to distribution - 109 +- 6.6 after smoothing, mri peak at 109, scaling input intensities by 0.991 scaling channel 0 by 0.990826 initial log_p = -4.147 ************************************************ First Search limited to translation only. ************************************************ max log p = -4.145907 @ (0.000, 0.000, 0.000) max log p = -4.070817 @ (-4.545, 4.545, -4.545) max log p = -4.007998 @ (2.273, -2.273, -2.273) max log p = -3.951086 @ (-1.136, 1.136, -1.136) max log p = -3.944311 @ (1.705, -0.568, 5.114) max log p = -3.944311 @ (0.000, 0.000, 0.000) Found translation: (-1.7, 2.8, -2.8): log p = -3.944 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.835, old_max_log_p =-3.944 (thresh=-3.9) 1.07500 0.00000 0.00000 -11.19804; 0.00000 1.06580 0.16136 -24.68499; 0.00000 -0.12074 1.05465 0.26459; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.835, old_max_log_p =-3.835 (thresh=-3.8) 1.07500 0.00000 0.00000 -11.19804; 0.00000 1.14574 0.17347 -29.69943; 0.00000 -0.11168 0.97555 16.06398; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.2500 **************************************** Nine parameter search. iteration 2 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.685, old_max_log_p =-3.835 (thresh=-3.8) 1.05361 0.00224 -0.03028 -7.37923; 0.00230 1.09854 0.19872 -30.42452; 0.03645 -0.14762 0.96897 13.34542; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.685, old_max_log_p =-3.685 (thresh=-3.7) 1.05361 0.00224 -0.03028 -7.37923; 0.00230 1.09854 0.19872 -30.42452; 0.03645 -0.14762 0.96897 13.34542; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.0625 **************************************** Nine parameter search. iteration 4 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.653, old_max_log_p =-3.685 (thresh=-3.7) 1.05135 -0.00793 -0.02392 -5.51064; 0.01088 1.09465 0.19783 -30.88944; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 5 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.651, old_max_log_p =-3.653 (thresh=-3.6) 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; min search scale 0.025000 reached *********************************************** Computing MAP estimate using 3243 samples... *********************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; nsamples 3243 Quasinewton: input matrix 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 008: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -3.651 (old=-4.147) transform before final EM align: 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; ************************************************** EM alignment process ... Computing final MAP estimate using 364799 samples. ************************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; nsamples 364799 Quasinewton: input matrix 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 010: -log(p) = 4.1 tol 0.000000 final transform: 1.04771 0.00104 -0.02222 -6.46247; 0.00230 1.09339 0.19779 -29.61789; 0.02773 -0.14711 0.96578 14.77730; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach_with_skull.lta... mri_em_register utimesec 977.468402 mri_em_register stimesec 1.050840 mri_em_register ru_maxrss 609756 mri_em_register ru_ixrss 0 mri_em_register ru_idrss 0 mri_em_register ru_isrss 0 mri_em_register ru_minflt 157282 mri_em_register ru_majflt 0 mri_em_register ru_nswap 0 mri_em_register ru_inblock 148912 mri_em_register ru_oublock 32 mri_em_register ru_msgsnd 0 mri_em_register ru_msgrcv 0 mri_em_register ru_nsignals 0 mri_em_register ru_nvcsw 77 mri_em_register ru_nivcsw 4228 registration took 16 minutes and 19 seconds. @#@FSTIME 2017:01:19:03:36:28 mri_em_register N 6 e 979.41 S 1.05 U 977.47 P 99% M 609756 F 0 R 157287 W 0 c 4229 w 85 I 148912 O 40 L 5.24 5.08 4.91 @#@FSLOADPOST 2017:01:19:03:52:47 mri_em_register N 6 5.06 5.01 4.93 mri_watershed -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mri_watershed.dat -T1 -brain_atlas /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_withskull_2016-05-10.vc700.gca transforms/talairach_with_skull.lta T1.mgz brainmask.auto.mgz Mode: T1 normalized volume Mode: Use the information of atlas (default parms, --help for details) ********************************************************* The input file is T1.mgz The output file is brainmask.auto.mgz Weighting the input with atlas information before watershed *************************WATERSHED************************** Sorting... first estimation of the COG coord: x=129 y=104 z=120 r=75 first estimation of the main basin volume: 1813555 voxels Looking for seedpoints 2 found in the cerebellum 18 found in the rest of the brain global maximum in x=150, y=93, z=84, Imax=255 CSF=18, WM_intensity=110, WM_VARIANCE=5 WM_MIN=110, WM_HALF_MIN=110, WM_HALF_MAX=110, WM_MAX=110 preflooding height equal to 10 percent done. Analyze... main basin size=9292098026 voxels, voxel volume =1.000 = 9292098026 mmm3 = 9292097.536 cm3 done. PostAnalyze...Basin Prior 145 basins merged thanks to atlas ***** 0 basin(s) merged in 1 iteration(s) ***** 0 voxel(s) added to the main basin done. Weighting the input with prior template ****************TEMPLATE DEFORMATION**************** second estimation of the COG coord: x=128,y=115, z=107, r=10963 iterations ^^^^^^^^ couldn't find WM with original limits - expanding ^^^^^^ GLOBAL CSF_MIN=0, CSF_intensity=10, CSF_MAX=51 , nb = 44523 RIGHT_CER CSF_MIN=0, CSF_intensity=12, CSF_MAX=40 , nb = -1033832720 LEFT_CER CSF_MIN=0, CSF_intensity=10, CSF_MAX=37 , nb = -1047716757 RIGHT_BRAIN CSF_MIN=0, CSF_intensity=9, CSF_MAX=52 , nb = 1032368922 LEFT_BRAIN CSF_MIN=0, CSF_intensity=9, CSF_MAX=53 , nb = 1082079708 OTHER CSF_MIN=0, CSF_intensity=11, CSF_MAX=36 , nb = -1119975836 CSF_MAX TRANSITION GM_MIN GM GLOBAL before analyzing : 51, 39, 33, 56 after analyzing : 31, 39, 39, 43 RIGHT_CER before analyzing : 40, 36, 33, 56 after analyzing : 30, 36, 36, 41 LEFT_CER before analyzing : 37, 34, 33, 56 after analyzing : 26, 34, 34, 39 RIGHT_BRAIN before analyzing : 52, 39, 33, 56 after analyzing : 31, 39, 39, 43 LEFT_BRAIN before analyzing : 53, 39, 32, 56 after analyzing : 31, 39, 39, 43 OTHER before analyzing : 36, 34, 33, 56 after analyzing : 26, 34, 34, 39 mri_strip_skull: done peeling brain highly tesselated surface with 10242 vertices matching...66 iterations *********************VALIDATION********************* curvature mean = -0.013, std = 0.010 curvature mean = 71.771, std = 7.933 No Rigid alignment: -atlas Mode Off (basic atlas / no registration) before rotation: sse = 1.93, sigma = 3.32 after rotation: sse = 1.93, sigma = 3.32 Localization of inacurate regions: Erosion-Dilation steps the sse mean is 2.00, its var is 2.83 before Erosion-Dilatation 0.07% of inacurate vertices after Erosion-Dilatation 0.00% of inacurate vertices Validation of the shape of the surface done. Scaling of atlas fields onto current surface fields ********FINAL ITERATIVE TEMPLATE DEFORMATION******** Compute Local values csf/gray Fine Segmentation...43 iterations mri_strip_skull: done peeling brain Brain Size = 1743632 voxels, voxel volume = 1.000 mm3 = 1743632 mmm3 = 1743.632 cm3 ****************************** Saving brainmask.auto.mgz done mri_watershed utimesec 28.575655 mri_watershed stimesec 0.462929 mri_watershed ru_maxrss 825496 mri_watershed ru_ixrss 0 mri_watershed ru_idrss 0 mri_watershed ru_isrss 0 mri_watershed ru_minflt 211697 mri_watershed ru_majflt 0 mri_watershed ru_nswap 0 mri_watershed ru_inblock 7960 mri_watershed ru_oublock 2976 mri_watershed ru_msgsnd 0 mri_watershed ru_msgrcv 0 mri_watershed ru_nsignals 0 mri_watershed ru_nvcsw 154 mri_watershed ru_nivcsw 242 mri_watershed done @#@FSTIME 2017:01:19:03:52:47 mri_watershed N 8 e 29.41 S 0.53 U 28.57 P 98% M 825496 F 0 R 211703 W 0 c 243 w 159 I 7960 O 2984 L 5.06 5.01 4.93 @#@FSLOADPOST 2017:01:19:03:53:17 mri_watershed N 8 5.03 5.01 4.93 cp brainmask.auto.mgz brainmask.mgz #------------------------------------- #@# EM Registration Thu Jan 19 03:53:18 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_em_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mri_em_register.dat -uns 3 -mask brainmask.mgz nu.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca transforms/talairach.lta setting unknown_nbr_spacing = 3 using MR volume brainmask.mgz to mask input volume... == Number of threads available to mri_em_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach.log reading '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca'... average std = 7.3 using min determinant for regularization = 5.3 0 singular and 841 ill-conditioned covariance matrices regularized reading 'nu.mgz'... freeing gibbs priors...done. accounting for voxel sizes in initial transform bounding unknown intensity as < 6.3 or > 503.7 total sample mean = 78.8 (1011 zeros) ************************************************ spacing=8, using 2830 sample points, tol=1.00e-05... ************************************************ register_mri: find_optimal_transform find_optimal_transform: nsamples 2830, passno 0, spacing 8 resetting wm mean[0]: 98 --> 107 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=21.0 skull bounding box = (60, 50, 26) --> (193, 184, 202) using (104, 95, 114) as brain centroid... mean wm in atlas = 107, using box (88,79,92) --> (120, 111,135) to find MRI wm before smoothing, mri peak at 110 robust fit to distribution - 110 +- 6.3 after smoothing, mri peak at 110, scaling input intensities by 0.973 scaling channel 0 by 0.972727 initial log_p = -3.794 ************************************************ First Search limited to translation only. ************************************************ max log p = -3.769193 @ (0.000, 0.000, 0.000) max log p = -3.659771 @ (-4.545, 4.545, -4.545) max log p = -3.566885 @ (2.273, -2.273, -2.273) max log p = -3.535787 @ (-1.136, 1.136, 1.136) max log p = -3.535787 @ (0.000, 0.000, 0.000) max log p = -3.535787 @ (0.000, 0.000, 0.000) Found translation: (-3.4, 3.4, -5.7): log p = -3.536 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.402, old_max_log_p =-3.536 (thresh=-3.5) 1.07500 0.00000 0.00000 -13.17007; 0.00000 1.06580 0.14032 -19.80900; 0.00000 -0.13053 0.99144 10.39438; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.402, old_max_log_p =-3.402 (thresh=-3.4) 1.07500 0.00000 0.00000 -13.17007; 0.00000 1.06580 0.14032 -19.80900; 0.00000 -0.13053 0.99144 10.39438; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.2500 **************************************** Nine parameter search. iteration 2 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.257, old_max_log_p =-3.402 (thresh=-3.4) 1.05371 -0.02892 -0.03596 -1.30147; 0.03450 1.04084 0.16716 -24.27214; 0.03583 -0.16336 0.96644 16.12999; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.254, old_max_log_p =-3.257 (thresh=-3.3) 1.05428 0.00515 -0.03047 -5.93014; 0.00000 1.06075 0.17140 -22.61775; 0.03516 -0.16029 0.94832 17.80463; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.0625 **************************************** Nine parameter search. iteration 4 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.205, old_max_log_p =-3.254 (thresh=-3.3) 1.05453 0.00412 -0.02265 -7.15102; -0.00028 1.06075 0.17137 -23.51605; 0.02653 -0.16018 0.94742 19.00480; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 5 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.202, old_max_log_p =-3.205 (thresh=-3.2) 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; min search scale 0.025000 reached *********************************************** Computing MAP estimate using 2830 samples... *********************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; nsamples 2830 Quasinewton: input matrix 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 008: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -3.202 (old=-3.794) transform before final EM align: 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; ************************************************** EM alignment process ... Computing final MAP estimate using 315557 samples. ************************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; nsamples 315557 Quasinewton: input matrix 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 010: -log(p) = 3.7 tol 0.000000 final transform: 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach.lta... mri_em_register utimesec 838.916465 mri_em_register stimesec 0.981850 mri_em_register ru_maxrss 598984 mri_em_register ru_ixrss 0 mri_em_register ru_idrss 0 mri_em_register ru_isrss 0 mri_em_register ru_minflt 158518 mri_em_register ru_majflt 0 mri_em_register ru_nswap 0 mri_em_register ru_inblock 140152 mri_em_register ru_oublock 24 mri_em_register ru_msgsnd 0 mri_em_register ru_msgrcv 0 mri_em_register ru_nsignals 0 mri_em_register ru_nvcsw 55 mri_em_register ru_nivcsw 3725 registration took 14 minutes and 0 seconds. @#@FSTIME 2017:01:19:03:53:18 mri_em_register N 9 e 840.29 S 1.02 U 838.91 P 99% M 598984 F 0 R 158523 W 0 c 3726 w 64 I 140152 O 32 L 4.95 4.99 4.93 @#@FSLOADPOST 2017:01:19:04:07:18 mri_em_register N 9 4.99 4.98 4.93 #-------------------------------------- #@# CA Normalize Thu Jan 19 04:07:18 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_ca_normalize -c ctrl_pts.mgz -mask brainmask.mgz nu.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca transforms/talairach.lta norm.mgz writing control point volume to ctrl_pts.mgz using MR volume brainmask.mgz to mask input volume... reading 1 input volume reading atlas from '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca'... reading transform from 'transforms/talairach.lta'... reading input volume from nu.mgz... resetting wm mean[0]: 98 --> 107 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=21.0 skull bounding box = (60, 50, 26) --> (193, 184, 202) using (104, 95, 114) as brain centroid... mean wm in atlas = 107, using box (88,79,92) --> (120, 111,135) to find MRI wm before smoothing, mri peak at 110 robust fit to distribution - 110 +- 6.3 after smoothing, mri peak at 110, scaling input intensities by 0.973 scaling channel 0 by 0.972727 using 246344 sample points... INFO: compute sample coordinates transform 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11322; 0.02656 -0.16037 0.94853 18.90351; 0.00000 0.00000 0.00000 1.00000; INFO: transform used finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (126, 54, 27) --> (191, 162, 200) Left_Cerebral_White_Matter: limiting intensities to 97.0 --> 132.0 0 of 9 (0.0%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (67, 56, 26) --> (131, 162, 200) Right_Cerebral_White_Matter: limiting intensities to 97.0 --> 132.0 0 of 8 (0.0%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (129, 139, 54) --> (174, 179, 111) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 7 of 10 (70.0%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (85, 139, 53) --> (127, 177, 113) Right_Cerebellum_White_Matter: limiting intensities to 90.0 --> 132.0 11 of 18 (61.1%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (113, 127, 92) --> (145, 193, 123) Brain_Stem: limiting intensities to 93.0 --> 132.0 9 of 10 (90.0%) samples deleted using 55 total control points for intensity normalization... bias field = 0.947 +- 0.070 0 of 28 control points discarded finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (126, 54, 27) --> (191, 162, 200) Left_Cerebral_White_Matter: limiting intensities to 88.0 --> 132.0 0 of 106 (0.0%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (67, 56, 26) --> (131, 162, 200) Right_Cerebral_White_Matter: limiting intensities to 89.0 --> 132.0 0 of 99 (0.0%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (129, 139, 54) --> (174, 179, 111) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 62 of 66 (93.9%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (85, 139, 53) --> (127, 177, 113) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 20 of 24 (83.3%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (113, 127, 92) --> (145, 193, 123) Brain_Stem: limiting intensities to 88.0 --> 132.0 74 of 81 (91.4%) samples deleted using 376 total control points for intensity normalization... bias field = 1.003 +- 0.046 1 of 215 control points discarded finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (126, 54, 27) --> (191, 162, 200) Left_Cerebral_White_Matter: limiting intensities to 88.0 --> 132.0 0 of 248 (0.0%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (67, 56, 26) --> (131, 162, 200) Right_Cerebral_White_Matter: limiting intensities to 88.0 --> 132.0 7 of 217 (3.2%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (129, 139, 54) --> (174, 179, 111) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 64 of 73 (87.7%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (85, 139, 53) --> (127, 177, 113) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 62 of 70 (88.6%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (113, 127, 92) --> (145, 193, 123) Brain_Stem: limiting intensities to 88.0 --> 132.0 105 of 113 (92.9%) samples deleted using 721 total control points for intensity normalization... bias field = 1.000 +- 0.047 1 of 482 control points discarded writing normalized volume to norm.mgz... writing control points to ctrl_pts.mgz freeing GCA...done. normalization took 1 minutes and 49 seconds. @#@FSTIME 2017:01:19:04:07:19 mri_ca_normalize N 8 e 109.33 S 0.77 U 108.30 P 99% M 647268 F 0 R 381059 W 0 c 241 w 151 I 0 O 3912 L 4.99 4.98 4.93 @#@FSLOADPOST 2017:01:19:04:09:08 mri_ca_normalize N 8 5.05 5.00 4.94 #-------------------------------------- #@# CA Reg Thu Jan 19 04:09:08 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_ca_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mri_ca_register.dat -nobigventricles -T transforms/talairach.lta -align-after -mask brainmask.mgz norm.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca transforms/talairach.m3z not handling expanded ventricles... using previously computed transform transforms/talairach.lta renormalizing sequences with structure alignment, equivalent to: -renormalize -regularize_mean 0.500 -regularize 0.500 using MR volume brainmask.mgz to mask input volume... == Number of threads available to mri_ca_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach.log reading input volume 'norm.mgz'... reading GCA '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca'... label assignment complete, 0 changed (0.00%) det(m_affine) = 1.09 (predicted orig area = 7.3) label assignment complete, 0 changed (0.00%) freeing gibbs priors...done. average std[0] = 5.0 **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.039 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.920, neg=0, invalid=762 0001: dt=221.952000, rms=0.859 (6.650%), neg=0, invalid=762 0002: dt=244.907392, rms=0.836 (2.646%), neg=0, invalid=762 0003: dt=180.942408, rms=0.823 (1.480%), neg=0, invalid=762 0004: dt=369.920000, rms=0.814 (1.166%), neg=0, invalid=762 0005: dt=129.472000, rms=0.806 (0.918%), neg=0, invalid=762 0006: dt=1479.680000, rms=0.791 (1.970%), neg=0, invalid=762 0007: dt=114.580645, rms=0.782 (1.052%), neg=0, invalid=762 0008: dt=887.808000, rms=0.778 (0.474%), neg=0, invalid=762 0009: dt=295.936000, rms=0.775 (0.494%), neg=0, invalid=762 0010: dt=129.472000, rms=0.773 (0.173%), neg=0, invalid=762 0011: dt=129.472000, rms=0.772 (0.107%), neg=0, invalid=762 0012: dt=129.472000, rms=0.771 (0.192%), neg=0, invalid=762 0013: dt=129.472000, rms=0.769 (0.277%), neg=0, invalid=762 0014: dt=129.472000, rms=0.766 (0.334%), neg=0, invalid=762 0015: dt=129.472000, rms=0.764 (0.356%), neg=0, invalid=762 0016: dt=129.472000, rms=0.761 (0.378%), neg=0, invalid=762 0017: dt=129.472000, rms=0.758 (0.384%), neg=0, invalid=762 0018: dt=129.472000, rms=0.755 (0.392%), neg=0, invalid=762 0019: dt=129.472000, rms=0.752 (0.387%), neg=0, invalid=762 0020: dt=129.472000, rms=0.749 (0.366%), neg=0, invalid=762 0021: dt=129.472000, rms=0.746 (0.357%), neg=0, invalid=762 0022: dt=129.472000, rms=0.744 (0.342%), neg=0, invalid=762 0023: dt=129.472000, rms=0.741 (0.327%), neg=0, invalid=762 0024: dt=129.472000, rms=0.739 (0.314%), neg=0, invalid=762 0025: dt=129.472000, rms=0.737 (0.304%), neg=0, invalid=762 0026: dt=129.472000, rms=0.735 (0.285%), neg=0, invalid=762 0027: dt=129.472000, rms=0.733 (0.264%), neg=0, invalid=762 0028: dt=129.472000, rms=0.731 (0.241%), neg=0, invalid=762 0029: dt=129.472000, rms=0.729 (0.219%), neg=0, invalid=762 0030: dt=129.472000, rms=0.728 (0.199%), neg=0, invalid=762 0031: dt=129.472000, rms=0.727 (0.177%), neg=0, invalid=762 0032: dt=129.472000, rms=0.726 (0.163%), neg=0, invalid=762 0033: dt=129.472000, rms=0.724 (0.155%), neg=0, invalid=762 0034: dt=129.472000, rms=0.723 (0.148%), neg=0, invalid=762 0035: dt=129.472000, rms=0.722 (0.136%), neg=0, invalid=762 0036: dt=129.472000, rms=0.721 (0.127%), neg=0, invalid=762 0037: dt=129.472000, rms=0.721 (0.120%), neg=0, invalid=762 0038: dt=129.472000, rms=0.720 (0.113%), neg=0, invalid=762 0039: dt=443.904000, rms=0.720 (0.009%), neg=0, invalid=762 0040: dt=443.904000, rms=0.720 (-0.001%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.720, neg=0, invalid=762 0041: dt=221.952000, rms=0.719 (0.231%), neg=0, invalid=762 0042: dt=517.888000, rms=0.718 (0.113%), neg=0, invalid=762 0043: dt=517.888000, rms=0.718 (-0.215%), neg=0, invalid=762 setting smoothness coefficient to 0.154 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.725, neg=0, invalid=762 0044: dt=232.666667, rms=0.715 (1.346%), neg=0, invalid=762 0045: dt=144.743546, rms=0.704 (1.622%), neg=0, invalid=762 0046: dt=75.210643, rms=0.698 (0.764%), neg=0, invalid=762 0047: dt=414.720000, rms=0.690 (1.150%), neg=0, invalid=762 0048: dt=64.762813, rms=0.683 (1.134%), neg=0, invalid=762 0049: dt=580.608000, rms=0.674 (1.211%), neg=0, invalid=762 0050: dt=36.288000, rms=0.671 (0.488%), neg=0, invalid=762 0051: dt=74.472727, rms=0.670 (0.145%), neg=0, invalid=762 0052: dt=74.472727, rms=0.669 (0.115%), neg=0, invalid=762 0053: dt=74.472727, rms=0.668 (0.192%), neg=0, invalid=762 0054: dt=74.472727, rms=0.666 (0.300%), neg=0, invalid=762 0055: dt=74.472727, rms=0.664 (0.374%), neg=0, invalid=762 0056: dt=74.472727, rms=0.661 (0.426%), neg=0, invalid=762 0057: dt=74.472727, rms=0.658 (0.443%), neg=0, invalid=762 0058: dt=74.472727, rms=0.655 (0.414%), neg=0, invalid=762 0059: dt=74.472727, rms=0.652 (0.422%), neg=0, invalid=762 0060: dt=74.472727, rms=0.650 (0.404%), neg=0, invalid=762 0061: dt=74.472727, rms=0.647 (0.397%), neg=0, invalid=762 0062: dt=74.472727, rms=0.645 (0.382%), neg=0, invalid=762 0063: dt=74.472727, rms=0.643 (0.326%), neg=0, invalid=762 0064: dt=74.472727, rms=0.641 (0.262%), neg=0, invalid=762 0065: dt=74.472727, rms=0.640 (0.192%), neg=0, invalid=762 0066: dt=74.472727, rms=0.639 (0.158%), neg=0, invalid=762 0067: dt=74.472727, rms=0.638 (0.126%), neg=0, invalid=762 0068: dt=74.472727, rms=0.637 (0.114%), neg=0, invalid=762 0069: dt=74.472727, rms=0.636 (0.127%), neg=0, invalid=762 0070: dt=74.472727, rms=0.636 (0.114%), neg=0, invalid=762 0071: dt=74.472727, rms=0.635 (0.107%), neg=0, invalid=762 0072: dt=82.944000, rms=0.635 (0.014%), neg=0, invalid=762 0073: dt=82.944000, rms=0.635 (0.013%), neg=0, invalid=762 0074: dt=82.944000, rms=0.634 (0.027%), neg=0, invalid=762 0075: dt=82.944000, rms=0.634 (0.028%), neg=0, invalid=762 0076: dt=82.944000, rms=0.634 (0.034%), neg=0, invalid=762 0077: dt=82.944000, rms=0.634 (0.047%), neg=0, invalid=762 0078: dt=82.944000, rms=0.634 (0.036%), neg=0, invalid=762 0079: dt=82.944000, rms=0.633 (0.024%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.634, neg=0, invalid=762 0080: dt=36.288000, rms=0.633 (0.156%), neg=0, invalid=762 0081: dt=36.288000, rms=0.633 (0.009%), neg=0, invalid=762 0082: dt=36.288000, rms=0.633 (0.000%), neg=0, invalid=762 0083: dt=36.288000, rms=0.633 (-0.022%), neg=0, invalid=762 setting smoothness coefficient to 0.588 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.662, neg=0, invalid=762 0084: dt=0.000000, rms=0.661 (0.109%), neg=0, invalid=762 0085: dt=0.000000, rms=0.661 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.662, neg=0, invalid=762 0086: dt=0.000000, rms=0.661 (0.109%), neg=0, invalid=762 0087: dt=0.000000, rms=0.661 (0.000%), neg=0, invalid=762 setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.745, neg=0, invalid=762 0088: dt=4.768519, rms=0.725 (2.590%), neg=0, invalid=762 0089: dt=1.312500, rms=0.725 (0.052%), neg=0, invalid=762 0090: dt=1.312500, rms=0.725 (-0.031%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.726, neg=0, invalid=762 0091: dt=0.000000, rms=0.725 (0.074%), neg=0, invalid=762 0092: dt=0.000000, rms=0.725 (0.000%), neg=0, invalid=762 setting smoothness coefficient to 5.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.815, neg=0, invalid=762 0093: dt=1.888889, rms=0.804 (1.386%), neg=0, invalid=762 0094: dt=1.792000, rms=0.798 (0.707%), neg=0, invalid=762 0095: dt=0.448000, rms=0.798 (0.080%), neg=0, invalid=762 0096: dt=0.448000, rms=0.797 (0.029%), neg=0, invalid=762 0097: dt=0.448000, rms=0.797 (-0.013%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.798, neg=0, invalid=762 0098: dt=1.024000, rms=0.796 (0.164%), neg=0, invalid=762 0099: dt=0.320000, rms=0.796 (0.006%), neg=0, invalid=762 0100: dt=0.320000, rms=0.796 (-0.001%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 10.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.728, neg=0, invalid=762 0101: dt=1.024000, rms=0.702 (3.555%), neg=0, invalid=762 0102: dt=0.096000, rms=0.700 (0.218%), neg=0, invalid=762 0103: dt=0.096000, rms=0.700 (-0.077%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.701, neg=0, invalid=762 0104: dt=0.028000, rms=0.700 (0.096%), neg=0, invalid=762 0105: dt=0.020000, rms=0.700 (0.002%), neg=0, invalid=762 0106: dt=0.020000, rms=0.700 (-0.003%), neg=0, invalid=762 renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.10027 (20) mri peak = 0.11486 ( 8) Left_Lateral_Ventricle (4): linear fit = 0.41 x + 0.0 (2632 voxels, overlap=0.020) Left_Lateral_Ventricle (4): linear fit = 0.41 x + 0.0 (2632 voxels, peak = 8), gca=8.1 gca peak = 0.15565 (16) mri peak = 0.13463 ( 9) Right_Lateral_Ventricle (43): linear fit = 0.44 x + 0.0 (1998 voxels, overlap=0.044) Right_Lateral_Ventricle (43): linear fit = 0.44 x + 0.0 (1998 voxels, peak = 7), gca=7.0 gca peak = 0.26829 (96) mri peak = 0.05394 (92) Right_Pallidum (52): linear fit = 0.94 x + 0.0 (813 voxels, overlap=0.990) Right_Pallidum (52): linear fit = 0.94 x + 0.0 (813 voxels, peak = 91), gca=90.7 gca peak = 0.20183 (93) mri peak = 0.06494 (92) Left_Pallidum (13): linear fit = 0.98 x + 0.0 (539 voxels, overlap=1.015) Left_Pallidum (13): linear fit = 0.98 x + 0.0 (539 voxels, peak = 91), gca=90.7 gca peak = 0.21683 (55) mri peak = 0.09367 (57) Right_Hippocampus (53): linear fit = 0.94 x + 0.0 (786 voxels, overlap=0.976) Right_Hippocampus (53): linear fit = 0.94 x + 0.0 (786 voxels, peak = 52), gca=52.0 gca peak = 0.30730 (58) mri peak = 0.08076 (56) Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (752 voxels, overlap=0.997) Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (752 voxels, peak = 55), gca=54.8 gca peak = 0.11430 (101) mri peak = 0.08712 (104) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (53013 voxels, overlap=0.687) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (53013 voxels, peak = 106), gca=105.5 gca peak = 0.12076 (102) mri peak = 0.09178 (106) Left_Cerebral_White_Matter (2): linear fit = 1.03 x + 0.0 (57742 voxels, overlap=0.719) Left_Cerebral_White_Matter (2): linear fit = 1.03 x + 0.0 (57742 voxels, peak = 106), gca=105.6 gca peak = 0.14995 (59) mri peak = 0.03610 (56) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (19615 voxels, overlap=0.970) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (19615 voxels, peak = 60), gca=60.5 gca peak = 0.15082 (58) mri peak = 0.03492 (54) Right_Cerebral_Cortex (42): linear fit = 0.94 x + 0.0 (19698 voxels, overlap=0.981) Right_Cerebral_Cortex (42): linear fit = 0.94 x + 0.0 (19698 voxels, peak = 55), gca=54.8 gca peak = 0.14161 (67) mri peak = 0.11679 (69) Right_Caudate (50): linear fit = 0.99 x + 0.0 (690 voxels, overlap=0.981) Right_Caudate (50): linear fit = 0.99 x + 0.0 (690 voxels, peak = 66), gca=66.0 gca peak = 0.15243 (71) mri peak = 0.12654 (70) Left_Caudate (11): linear fit = 0.90 x + 0.0 (607 voxels, overlap=0.543) Left_Caudate (11): linear fit = 0.90 x + 0.0 (607 voxels, peak = 64), gca=64.3 gca peak = 0.13336 (57) mri peak = 0.03880 (50) Left_Cerebellum_Cortex (8): linear fit = 0.94 x + 0.0 (14867 voxels, overlap=0.808) Left_Cerebellum_Cortex (8): linear fit = 0.94 x + 0.0 (14867 voxels, peak = 54), gca=53.9 gca peak = 0.13252 (56) mri peak = 0.03577 (56) Right_Cerebellum_Cortex (47): linear fit = 0.96 x + 0.0 (14924 voxels, overlap=0.903) Right_Cerebellum_Cortex (47): linear fit = 0.96 x + 0.0 (14924 voxels, peak = 54), gca=54.0 gca peak = 0.18181 (84) mri peak = 0.04922 (82) Left_Cerebellum_White_Matter (7): linear fit = 0.98 x + 0.0 (7239 voxels, overlap=0.977) Left_Cerebellum_White_Matter (7): linear fit = 0.98 x + 0.0 (7239 voxels, peak = 82), gca=81.9 gca peak = 0.20573 (83) mri peak = 0.05131 (83) Right_Cerebellum_White_Matter (46): linear fit = 0.99 x + 0.0 (6085 voxels, overlap=0.972) Right_Cerebellum_White_Matter (46): linear fit = 0.99 x + 0.0 (6085 voxels, peak = 82), gca=81.8 gca peak = 0.21969 (57) mri peak = 0.10350 (56) Left_Amygdala (18): linear fit = 0.92 x + 0.0 (376 voxels, overlap=0.992) Left_Amygdala (18): linear fit = 0.92 x + 0.0 (376 voxels, peak = 52), gca=52.2 gca peak = 0.39313 (56) mri peak = 0.11623 (51) Right_Amygdala (54): linear fit = 0.89 x + 0.0 (583 voxels, overlap=1.003) Right_Amygdala (54): linear fit = 0.89 x + 0.0 (583 voxels, peak = 50), gca=50.1 gca peak = 0.14181 (85) mri peak = 0.09315 (77) Left_Thalamus_Proper (10): linear fit = 0.93 x + 0.0 (3663 voxels, overlap=0.582) Left_Thalamus_Proper (10): linear fit = 0.93 x + 0.0 (3663 voxels, peak = 79), gca=78.6 gca peak = 0.11978 (83) mri peak = 0.10556 (75) Right_Thalamus_Proper (49): linear fit = 0.95 x + 0.0 (3309 voxels, overlap=0.787) Right_Thalamus_Proper (49): linear fit = 0.95 x + 0.0 (3309 voxels, peak = 79), gca=79.3 gca peak = 0.13399 (79) mri peak = 0.07061 (69) Left_Putamen (12): linear fit = 0.93 x + 0.0 (1889 voxels, overlap=0.801) Left_Putamen (12): linear fit = 0.93 x + 0.0 (1889 voxels, peak = 73), gca=73.1 gca peak = 0.14159 (79) mri peak = 0.07448 (68) Right_Putamen (51): linear fit = 0.94 x + 0.0 (1911 voxels, overlap=0.889) Right_Putamen (51): linear fit = 0.94 x + 0.0 (1911 voxels, peak = 74), gca=73.9 gca peak = 0.10025 (80) mri peak = 0.13377 (80) Brain_Stem (16): linear fit = 1.05 x + 0.0 (9326 voxels, overlap=0.401) Brain_Stem (16): linear fit = 1.05 x + 0.0 (9326 voxels, peak = 84), gca=84.4 gca peak = 0.13281 (86) mri peak = 0.08366 (84) Right_VentralDC (60): linear fit = 1.03 x + 0.0 (1354 voxels, overlap=0.727) Right_VentralDC (60): linear fit = 1.03 x + 0.0 (1354 voxels, peak = 89), gca=89.0 gca peak = 0.12801 (89) mri peak = 0.08938 (84) Left_VentralDC (28): linear fit = 1.01 x + 0.0 (1398 voxels, overlap=0.850) Left_VentralDC (28): linear fit = 1.01 x + 0.0 (1398 voxels, peak = 90), gca=90.3 gca peak = 0.20494 (23) mri peak = 0.14167 ( 9) Third_Ventricle (14): linear fit = 0.34 x + 0.0 (116 voxels, overlap=0.043) Third_Ventricle (14): linear fit = 0.34 x + 0.0 (116 voxels, peak = 8), gca=7.9 gca peak = 0.15061 (21) mri peak = 0.08633 (10) Fourth_Ventricle (15): linear fit = 0.47 x + 0.0 (295 voxels, overlap=0.268) Fourth_Ventricle (15): linear fit = 0.47 x + 0.0 (295 voxels, peak = 10), gca=10.0 gca peak Unknown = 0.94835 ( 0) gca peak Left_Inf_Lat_Vent = 0.18056 (32) gca peak Left_Thalamus = 0.64095 (94) gca peak Third_Ventricle = 0.20494 (23) gca peak Fourth_Ventricle = 0.15061 (21) gca peak CSF = 0.20999 (34) gca peak Left_Accumbens_area = 0.39030 (62) gca peak Left_undetermined = 0.95280 (25) gca peak Left_vessel = 0.67734 (53) gca peak Left_choroid_plexus = 0.09433 (44) gca peak Right_Inf_Lat_Vent = 0.23544 (26) gca peak Right_Accumbens_area = 0.30312 (64) gca peak Right_vessel = 0.46315 (51) gca peak Right_choroid_plexus = 0.14086 (44) gca peak Fifth_Ventricle = 0.51669 (36) gca peak WM_hypointensities = 0.09722 (76) gca peak non_WM_hypointensities = 0.11899 (47) gca peak Optic_Chiasm = 0.39033 (72) label assignment complete, 0 changed (0.00%) not using caudate to estimate GM means estimating mean gm scale to be 0.94 x + 0.0 estimating mean wm scale to be 1.04 x + 0.0 estimating mean csf scale to be 0.42 x + 0.0 saving intensity scales to talairach.label_intensities.txt **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.008 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.710, neg=0, invalid=762 0107: dt=221.952000, rms=0.703 (0.942%), neg=0, invalid=762 0108: dt=110.976000, rms=0.701 (0.313%), neg=0, invalid=762 0109: dt=369.920000, rms=0.696 (0.599%), neg=0, invalid=762 0110: dt=60.000000, rms=0.695 (0.153%), neg=0, invalid=762 0111: dt=129.472000, rms=0.695 (0.054%), neg=0, invalid=762 0112: dt=517.888000, rms=0.692 (0.369%), neg=0, invalid=762 0113: dt=55.488000, rms=0.692 (0.110%), neg=0, invalid=762 0114: dt=73.984000, rms=0.691 (0.024%), neg=0, invalid=762 0115: dt=73.984000, rms=0.691 (0.043%), neg=0, invalid=762 0116: dt=73.984000, rms=0.691 (0.075%), neg=0, invalid=762 0117: dt=73.984000, rms=0.690 (0.106%), neg=0, invalid=762 0118: dt=73.984000, rms=0.689 (0.131%), neg=0, invalid=762 0119: dt=73.984000, rms=0.688 (0.143%), neg=0, invalid=762 0120: dt=73.984000, rms=0.687 (0.145%), neg=0, invalid=762 0121: dt=73.984000, rms=0.686 (0.147%), neg=0, invalid=762 0122: dt=73.984000, rms=0.685 (0.141%), neg=0, invalid=762 0123: dt=73.984000, rms=0.684 (0.137%), neg=0, invalid=762 0124: dt=73.984000, rms=0.683 (0.134%), neg=0, invalid=762 0125: dt=73.984000, rms=0.682 (0.128%), neg=0, invalid=762 0126: dt=73.984000, rms=0.682 (0.123%), neg=0, invalid=762 0127: dt=73.984000, rms=0.681 (0.117%), neg=0, invalid=762 0128: dt=73.984000, rms=0.680 (0.110%), neg=0, invalid=762 0129: dt=73.984000, rms=0.679 (0.107%), neg=0, invalid=762 0130: dt=73.984000, rms=0.679 (0.106%), neg=0, invalid=762 0131: dt=73.984000, rms=0.678 (0.102%), neg=0, invalid=762 0132: dt=73.984000, rms=0.677 (0.102%), neg=0, invalid=762 0133: dt=73.984000, rms=0.676 (0.095%), neg=0, invalid=762 0134: dt=73.984000, rms=0.676 (0.095%), neg=0, invalid=762 0135: dt=73.984000, rms=0.675 (0.088%), neg=0, invalid=762 0136: dt=73.984000, rms=0.675 (0.084%), neg=0, invalid=762 0137: dt=73.984000, rms=0.674 (0.079%), neg=0, invalid=762 0138: dt=73.984000, rms=0.674 (0.075%), neg=0, invalid=762 0139: dt=73.984000, rms=0.673 (0.071%), neg=0, invalid=762 0140: dt=73.984000, rms=0.673 (0.068%), neg=0, invalid=762 0141: dt=73.984000, rms=0.672 (0.064%), neg=0, invalid=762 0142: dt=73.984000, rms=0.672 (0.062%), neg=0, invalid=762 0143: dt=73.984000, rms=0.671 (0.060%), neg=0, invalid=762 0144: dt=73.984000, rms=0.671 (0.055%), neg=0, invalid=762 0145: dt=73.984000, rms=0.671 (0.052%), neg=0, invalid=762 0146: dt=73.984000, rms=0.670 (0.050%), neg=0, invalid=762 0147: dt=73.984000, rms=0.670 (0.047%), neg=0, invalid=762 0148: dt=73.984000, rms=0.670 (0.048%), neg=0, invalid=762 0149: dt=73.984000, rms=0.669 (0.043%), neg=0, invalid=762 0150: dt=73.984000, rms=0.669 (0.043%), neg=0, invalid=762 0151: dt=73.984000, rms=0.669 (0.043%), neg=0, invalid=762 0152: dt=73.984000, rms=0.669 (0.041%), neg=0, invalid=762 0153: dt=73.984000, rms=0.668 (0.038%), neg=0, invalid=762 0154: dt=73.984000, rms=0.668 (0.035%), neg=0, invalid=762 0155: dt=73.984000, rms=0.668 (0.033%), neg=0, invalid=762 0156: dt=73.984000, rms=0.668 (0.032%), neg=0, invalid=762 0157: dt=73.984000, rms=0.667 (0.030%), neg=0, invalid=762 0158: dt=73.984000, rms=0.667 (0.030%), neg=0, invalid=762 0159: dt=73.984000, rms=0.667 (0.030%), neg=0, invalid=762 0160: dt=73.984000, rms=0.667 (0.028%), neg=0, invalid=762 0161: dt=73.984000, rms=0.667 (0.028%), neg=0, invalid=762 0162: dt=73.984000, rms=0.667 (0.027%), neg=0, invalid=762 0163: dt=73.984000, rms=0.666 (0.026%), neg=0, invalid=762 0164: dt=73.984000, rms=0.666 (0.025%), neg=0, invalid=762 0165: dt=73.984000, rms=0.666 (0.025%), neg=0, invalid=762 0166: dt=4734.976000, rms=0.666 (0.068%), neg=0, invalid=762 0167: dt=110.976000, rms=0.665 (0.047%), neg=0, invalid=762 0168: dt=110.976000, rms=0.665 (0.019%), neg=0, invalid=762 0169: dt=110.976000, rms=0.665 (0.019%), neg=0, invalid=762 0170: dt=110.976000, rms=0.665 (0.013%), neg=0, invalid=762 0171: dt=110.976000, rms=0.665 (0.008%), neg=0, invalid=762 0172: dt=221.952000, rms=0.665 (0.010%), neg=0, invalid=762 0173: dt=27.744000, rms=0.665 (0.001%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.665, neg=0, invalid=762 0174: dt=129.472000, rms=0.664 (0.200%), neg=0, invalid=762 0175: dt=517.888000, rms=0.663 (0.181%), neg=0, invalid=762 0176: dt=32.368000, rms=0.663 (-0.002%), neg=0, invalid=762 0177: dt=32.368000, rms=0.663 (0.003%), neg=0, invalid=762 0178: dt=32.368000, rms=0.663 (-0.004%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.664, neg=0, invalid=762 0179: dt=197.485714, rms=0.657 (1.065%), neg=0, invalid=762 0180: dt=132.980545, rms=0.649 (1.307%), neg=0, invalid=762 0181: dt=64.631876, rms=0.645 (0.512%), neg=0, invalid=762 0182: dt=414.720000, rms=0.639 (1.039%), neg=0, invalid=762 0183: dt=83.612903, rms=0.634 (0.736%), neg=0, invalid=762 0184: dt=64.000000, rms=0.631 (0.404%), neg=0, invalid=762 0185: dt=145.152000, rms=0.630 (0.244%), neg=0, invalid=762 0186: dt=70.981818, rms=0.628 (0.245%), neg=0, invalid=762 0187: dt=124.416000, rms=0.627 (0.185%), neg=0, invalid=762 0188: dt=69.945355, rms=0.626 (0.211%), neg=0, invalid=762 0189: dt=124.416000, rms=0.625 (0.166%), neg=0, invalid=762 0190: dt=70.842767, rms=0.623 (0.187%), neg=0, invalid=762 0191: dt=103.680000, rms=0.623 (0.137%), neg=0, invalid=762 0192: dt=82.944000, rms=0.622 (0.165%), neg=0, invalid=762 0193: dt=103.680000, rms=0.621 (0.128%), neg=0, invalid=762 0194: dt=36.288000, rms=0.620 (0.099%), neg=0, invalid=762 0195: dt=36.288000, rms=0.620 (0.060%), neg=0, invalid=762 0196: dt=2.268000, rms=0.620 (0.002%), neg=0, invalid=762 0197: dt=2.268000, rms=0.620 (0.004%), neg=0, invalid=762 0198: dt=1.134000, rms=0.620 (0.002%), neg=0, invalid=762 0199: dt=0.283500, rms=0.620 (0.000%), neg=0, invalid=762 0200: dt=0.141750, rms=0.620 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.621, neg=0, invalid=762 0201: dt=145.152000, rms=0.616 (0.684%), neg=0, invalid=762 0202: dt=145.152000, rms=0.615 (0.281%), neg=0, invalid=762 0203: dt=36.288000, rms=0.614 (0.106%), neg=0, invalid=762 0204: dt=145.152000, rms=0.613 (0.138%), neg=0, invalid=762 0205: dt=103.680000, rms=0.612 (0.180%), neg=0, invalid=762 0206: dt=36.288000, rms=0.612 (0.070%), neg=0, invalid=762 0207: dt=36.288000, rms=0.611 (0.044%), neg=0, invalid=762 0208: dt=18.144000, rms=0.611 (0.021%), neg=0, invalid=762 0209: dt=9.072000, rms=0.611 (0.010%), neg=0, invalid=762 0210: dt=4.536000, rms=0.611 (0.005%), neg=0, invalid=762 0211: dt=0.567000, rms=0.611 (0.001%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.616, neg=0, invalid=762 0212: dt=0.007812, rms=0.615 (0.141%), neg=0, invalid=762 0213: dt=0.000586, rms=0.615 (0.000%), neg=0, invalid=762 0214: dt=0.000073, rms=0.615 (0.000%), neg=0, invalid=762 0215: dt=0.000018, rms=0.615 (0.000%), neg=0, invalid=762 0216: dt=0.000001, rms=0.615 (0.000%), neg=0, invalid=762 0217: dt=0.000000, rms=0.615 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.616, neg=0, invalid=762 0218: dt=0.000000, rms=0.615 (0.141%), neg=0, invalid=762 0219: dt=0.000000, rms=0.615 (0.000%), neg=0, invalid=762 0220: dt=0.000000, rms=0.615 (0.000%), neg=0, invalid=762 0221: dt=0.000000, rms=0.615 (0.000%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.627, neg=0, invalid=762 0222: dt=0.000000, rms=0.626 (0.135%), neg=0, invalid=762 0223: dt=0.000000, rms=0.626 (0.000%), neg=0, invalid=762 0224: dt=0.000001, rms=0.626 (0.000%), neg=0, invalid=762 0225: dt=0.000000, rms=0.626 (0.000%), neg=0, invalid=762 0226: dt=0.000000, rms=0.626 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.627, neg=0, invalid=762 0227: dt=4.032000, rms=0.615 (1.962%), neg=0, invalid=762 0228: dt=4.032000, rms=0.606 (1.450%), neg=0, invalid=762 0229: dt=13.824000, rms=0.584 (3.637%), neg=0, invalid=762 0230: dt=16.128000, rms=0.575 (1.613%), neg=0, invalid=762 0231: dt=13.824000, rms=0.571 (0.633%), neg=0, invalid=762 0232: dt=16.128000, rms=0.568 (0.470%), neg=0, invalid=762 0233: dt=4.032000, rms=0.568 (0.097%), neg=0, invalid=762 0234: dt=16.128000, rms=0.566 (0.306%), neg=0, invalid=762 0235: dt=16.128000, rms=0.565 (0.221%), neg=0, invalid=762 0236: dt=11.520000, rms=0.564 (0.148%), neg=0, invalid=762 0237: dt=16.128000, rms=0.563 (0.150%), neg=0, invalid=762 0238: dt=13.824000, rms=0.562 (0.126%), neg=0, invalid=762 0239: dt=16.128000, rms=0.562 (0.096%), neg=0, invalid=762 0240: dt=11.520000, rms=0.561 (0.101%), neg=0, invalid=762 0241: dt=21.052632, rms=0.561 (0.086%), neg=0, invalid=762 0242: dt=11.750000, rms=0.560 (0.099%), neg=0, invalid=762 0243: dt=13.824000, rms=0.560 (0.071%), neg=0, invalid=762 0244: dt=12.595745, rms=0.559 (0.071%), neg=0, invalid=762 0245: dt=11.520000, rms=0.559 (0.059%), neg=0, invalid=762 0246: dt=11.520000, rms=0.559 (0.055%), neg=0, invalid=762 0247: dt=13.333333, rms=0.558 (0.049%), neg=0, invalid=762 0248: dt=13.333333, rms=0.558 (0.067%), neg=0, invalid=762 0249: dt=13.333333, rms=0.557 (0.118%), neg=0, invalid=762 0250: dt=13.333333, rms=0.557 (0.121%), neg=0, invalid=762 0251: dt=13.333333, rms=0.556 (0.190%), neg=0, invalid=762 0252: dt=13.333333, rms=0.556 (0.010%), neg=0, invalid=762 0253: dt=13.333333, rms=0.555 (0.041%), neg=0, invalid=762 0254: dt=13.333333, rms=0.555 (0.069%), neg=0, invalid=762 0255: dt=13.333333, rms=0.554 (0.120%), neg=0, invalid=762 0256: dt=13.333333, rms=0.554 (0.107%), neg=0, invalid=762 0257: dt=13.333333, rms=0.553 (0.132%), neg=0, invalid=762 0258: dt=13.333333, rms=0.553 (0.096%), neg=0, invalid=762 0259: dt=13.333333, rms=0.552 (0.117%), neg=0, invalid=762 0260: dt=13.333333, rms=0.551 (0.111%), neg=0, invalid=762 0261: dt=13.333333, rms=0.551 (0.118%), neg=0, invalid=762 0262: dt=13.333333, rms=0.550 (0.083%), neg=0, invalid=762 0263: dt=13.333333, rms=0.550 (0.092%), neg=0, invalid=762 0264: dt=13.333333, rms=0.549 (0.104%), neg=0, invalid=762 0265: dt=13.333333, rms=0.549 (0.080%), neg=0, invalid=762 0266: dt=13.333333, rms=0.548 (0.050%), neg=0, invalid=762 0267: dt=13.333333, rms=0.548 (0.054%), neg=0, invalid=762 0268: dt=13.333333, rms=0.548 (0.071%), neg=0, invalid=762 0269: dt=13.333333, rms=0.548 (-0.008%), neg=0, invalid=762 0270: dt=5.333333, rms=0.548 (0.011%), neg=0, invalid=762 0271: dt=8.000000, rms=0.548 (0.011%), neg=0, invalid=762 setting smoothness coefficient to 1.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.563, neg=0, invalid=762 0272: dt=0.000000, rms=0.562 (0.123%), neg=0, invalid=762 0273: dt=0.000000, rms=0.562 (0.000%), neg=0, invalid=762 0274: dt=0.100000, rms=0.562 (-0.181%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.563, neg=0, invalid=762 0275: dt=0.000000, rms=0.562 (0.123%), neg=0, invalid=762 0276: dt=0.000000, rms=0.562 (0.000%), neg=0, invalid=762 0277: dt=0.100000, rms=0.562 (-0.171%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.538, neg=0, invalid=762 0278: dt=0.384000, rms=0.523 (2.752%), neg=0, invalid=762 0279: dt=0.448000, rms=0.517 (1.158%), neg=0, invalid=762 0280: dt=0.448000, rms=0.515 (0.485%), neg=0, invalid=762 0281: dt=0.448000, rms=0.513 (0.306%), neg=0, invalid=762 0282: dt=0.448000, rms=0.512 (0.221%), neg=0, invalid=762 0283: dt=0.448000, rms=0.511 (0.162%), neg=0, invalid=762 0284: dt=0.112000, rms=0.511 (0.037%), neg=0, invalid=762 0285: dt=0.112000, rms=0.511 (0.035%), neg=0, invalid=762 0286: dt=0.112000, rms=0.511 (0.062%), neg=0, invalid=762 0287: dt=0.112000, rms=0.510 (0.080%), neg=0, invalid=762 0288: dt=0.112000, rms=0.510 (0.095%), neg=0, invalid=762 0289: dt=0.112000, rms=0.509 (0.100%), neg=0, invalid=762 0290: dt=0.112000, rms=0.509 (0.102%), neg=0, invalid=762 0291: dt=0.112000, rms=0.508 (0.100%), neg=0, invalid=762 0292: dt=0.112000, rms=0.508 (0.099%), neg=0, invalid=762 0293: dt=0.112000, rms=0.507 (0.089%), neg=0, invalid=762 0294: dt=0.112000, rms=0.507 (0.073%), neg=0, invalid=762 0295: dt=0.112000, rms=0.507 (0.060%), neg=0, invalid=762 0296: dt=0.112000, rms=0.506 (0.052%), neg=0, invalid=762 0297: dt=0.112000, rms=0.506 (0.037%), neg=0, invalid=762 0298: dt=0.112000, rms=0.506 (0.028%), neg=0, invalid=762 0299: dt=0.112000, rms=0.506 (0.020%), neg=0, invalid=762 0300: dt=0.112000, rms=0.506 (0.010%), neg=0, invalid=762 0301: dt=0.000000, rms=0.506 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.507, neg=0, invalid=762 0302: dt=0.320000, rms=0.502 (0.947%), neg=0, invalid=762 0303: dt=0.384000, rms=0.500 (0.316%), neg=0, invalid=762 0304: dt=0.384000, rms=0.500 (0.052%), neg=0, invalid=762 0305: dt=0.112000, rms=0.500 (0.004%), neg=0, invalid=762 0306: dt=0.112000, rms=0.500 (0.000%), neg=0, invalid=762 0307: dt=0.112000, rms=0.500 (-0.001%), neg=0, invalid=762 label assignment complete, 0 changed (0.00%) ********************* ALLOWING NEGATIVE NODES IN DEFORMATION******************************** **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.008 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.498, neg=0, invalid=762 0308: dt=0.000000, rms=0.497 (0.164%), neg=0, invalid=762 0309: dt=0.000000, rms=0.497 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.498, neg=0, invalid=762 0310: dt=110.976000, rms=0.497 (0.178%), neg=0, invalid=762 0311: dt=129.472000, rms=0.497 (0.012%), neg=0, invalid=762 0312: dt=129.472000, rms=0.497 (0.004%), neg=0, invalid=762 0313: dt=129.472000, rms=0.497 (0.020%), neg=0, invalid=762 0314: dt=129.472000, rms=0.497 (0.013%), neg=0, invalid=762 0315: dt=129.472000, rms=0.497 (0.015%), neg=0, invalid=762 0316: dt=129.472000, rms=0.497 (0.007%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.498, neg=0, invalid=762 0317: dt=18.526316, rms=0.497 (0.194%), neg=0, invalid=762 0318: dt=7.776000, rms=0.497 (0.004%), neg=0, invalid=762 0319: dt=7.776000, rms=0.497 (0.000%), neg=0, invalid=762 0320: dt=7.776000, rms=0.497 (-0.011%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.497, neg=0, invalid=762 0321: dt=103.680000, rms=0.495 (0.398%), neg=0, invalid=762 0322: dt=36.288000, rms=0.495 (0.143%), neg=0, invalid=762 0323: dt=36.288000, rms=0.495 (0.048%), neg=0, invalid=762 0324: dt=36.288000, rms=0.494 (0.080%), neg=0, invalid=762 0325: dt=36.288000, rms=0.494 (0.112%), neg=0, invalid=762 0326: dt=36.288000, rms=0.493 (0.108%), neg=0, invalid=762 0327: dt=36.288000, rms=0.493 (0.100%), neg=0, invalid=762 0328: dt=145.152000, rms=0.492 (0.060%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.493, neg=0, invalid=762 0329: dt=32.000000, rms=0.490 (0.763%), neg=0, invalid=762 iter 0, gcam->neg = 4 after 7 iterations, nbhd size=1, neg = 0 0330: dt=38.400000, rms=0.488 (0.344%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 6 iterations, nbhd size=1, neg = 0 0331: dt=25.600000, rms=0.487 (0.241%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0332: dt=25.600000, rms=0.486 (0.174%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 9 iterations, nbhd size=1, neg = 0 0333: dt=25.600000, rms=0.485 (0.256%), neg=0, invalid=762 iter 0, gcam->neg = 8 after 11 iterations, nbhd size=1, neg = 0 0334: dt=25.600000, rms=0.483 (0.258%), neg=0, invalid=762 iter 0, gcam->neg = 17 after 10 iterations, nbhd size=1, neg = 0 0335: dt=25.600000, rms=0.482 (0.232%), neg=0, invalid=762 iter 0, gcam->neg = 40 after 11 iterations, nbhd size=1, neg = 0 0336: dt=25.600000, rms=0.482 (0.103%), neg=0, invalid=762 iter 0, gcam->neg = 29 after 12 iterations, nbhd size=1, neg = 0 0337: dt=25.600000, rms=0.481 (0.191%), neg=0, invalid=762 iter 0, gcam->neg = 35 after 15 iterations, nbhd size=1, neg = 0 0338: dt=25.600000, rms=0.480 (0.161%), neg=0, invalid=762 iter 0, gcam->neg = 26 after 15 iterations, nbhd size=1, neg = 0 0339: dt=25.600000, rms=0.479 (0.197%), neg=0, invalid=762 iter 0, gcam->neg = 21 after 12 iterations, nbhd size=1, neg = 0 0340: dt=25.600000, rms=0.478 (0.153%), neg=0, invalid=762 iter 0, gcam->neg = 23 after 14 iterations, nbhd size=1, neg = 0 0341: dt=25.600000, rms=0.478 (0.141%), neg=0, invalid=762 iter 0, gcam->neg = 16 after 13 iterations, nbhd size=1, neg = 0 0342: dt=25.600000, rms=0.477 (0.114%), neg=0, invalid=762 iter 0, gcam->neg = 20 after 13 iterations, nbhd size=1, neg = 0 0343: dt=25.600000, rms=0.477 (0.108%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 0 iterations, nbhd size=0, neg = 0 0344: dt=25.600000, rms=0.476 (0.128%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 3 iterations, nbhd size=0, neg = 0 0345: dt=25.600000, rms=0.476 (0.064%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 2 iterations, nbhd size=0, neg = 0 0346: dt=25.600000, rms=0.475 (0.056%), neg=0, invalid=762 iter 0, gcam->neg = 5 after 2 iterations, nbhd size=0, neg = 0 0347: dt=25.600000, rms=0.475 (0.073%), neg=0, invalid=762 iter 0, gcam->neg = 6 after 1 iterations, nbhd size=0, neg = 0 0348: dt=25.600000, rms=0.475 (0.049%), neg=0, invalid=762 iter 0, gcam->neg = 10 after 4 iterations, nbhd size=0, neg = 0 0349: dt=25.600000, rms=0.475 (0.040%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.476, neg=0, invalid=762 iter 0, gcam->neg = 4 after 7 iterations, nbhd size=0, neg = 0 0350: dt=44.800000, rms=0.471 (0.884%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 6 iterations, nbhd size=1, neg = 0 0351: dt=25.600000, rms=0.470 (0.278%), neg=0, invalid=762 0352: dt=32.000000, rms=0.469 (0.169%), neg=0, invalid=762 0353: dt=32.000000, rms=0.469 (0.081%), neg=0, invalid=762 0354: dt=32.000000, rms=0.468 (0.281%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 1 iterations, nbhd size=0, neg = 0 0355: dt=32.000000, rms=0.467 (0.058%), neg=0, invalid=762 0356: dt=32.000000, rms=0.466 (0.183%), neg=0, invalid=762 0357: dt=32.000000, rms=0.466 (-0.045%), neg=0, invalid=762 0358: dt=25.600000, rms=0.466 (0.053%), neg=0, invalid=762 0359: dt=11.200000, rms=0.466 (0.014%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.473, neg=0, invalid=762 0360: dt=2.166667, rms=0.472 (0.191%), neg=0, invalid=762 0361: dt=0.720000, rms=0.472 (-0.004%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.473, neg=0, invalid=762 0362: dt=3.456000, rms=0.472 (0.205%), neg=0, invalid=762 0363: dt=2.461538, rms=0.472 (0.018%), neg=0, invalid=762 0364: dt=2.461538, rms=0.472 (0.006%), neg=0, invalid=762 0365: dt=2.461538, rms=0.472 (-0.025%), neg=0, invalid=762 setting smoothness coefficient to 1.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.482, neg=0, invalid=762 0366: dt=0.448000, rms=0.481 (0.185%), neg=0, invalid=762 0367: dt=0.112000, rms=0.481 (0.001%), neg=0, invalid=762 0368: dt=0.112000, rms=0.481 (-0.001%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.482, neg=0, invalid=762 0369: dt=1.536000, rms=0.480 (0.343%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0370: dt=1.024000, rms=0.480 (0.033%), neg=0, invalid=762 0371: dt=1.024000, rms=0.480 (0.002%), neg=0, invalid=762 0372: dt=1.024000, rms=0.480 (-0.090%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.473, neg=0, invalid=762 iter 0, gcam->neg = 999 after 15 iterations, nbhd size=1, neg = 0 0373: dt=2.359978, rms=0.442 (6.703%), neg=0, invalid=762 0374: dt=0.112000, rms=0.441 (0.122%), neg=0, invalid=762 0375: dt=0.112000, rms=0.441 (-0.078%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.442, neg=0, invalid=762 0376: dt=0.096000, rms=0.441 (0.291%), neg=0, invalid=762 0377: dt=0.007000, rms=0.441 (-0.004%), neg=0, invalid=762 0378: dt=0.007000, rms=0.441 (0.000%), neg=0, invalid=762 0379: dt=0.007000, rms=0.441 (-0.001%), neg=0, invalid=762 label assignment complete, 0 changed (0.00%) label assignment complete, 0 changed (0.00%) ***************** morphing with label term set to 0 ******************************* **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.008 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.425, neg=0, invalid=762 0380: dt=0.000000, rms=0.425 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.425, neg=0, invalid=762 0381: dt=110.976000, rms=0.425 (0.015%), neg=0, invalid=762 0382: dt=129.472000, rms=0.425 (0.008%), neg=0, invalid=762 0383: dt=129.472000, rms=0.425 (-0.003%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.425, neg=0, invalid=762 0384: dt=0.000000, rms=0.425 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.425, neg=0, invalid=762 0385: dt=82.944000, rms=0.425 (0.051%), neg=0, invalid=762 0386: dt=124.416000, rms=0.425 (0.058%), neg=0, invalid=762 0387: dt=31.104000, rms=0.425 (0.024%), neg=0, invalid=762 0388: dt=31.104000, rms=0.425 (0.008%), neg=0, invalid=762 0389: dt=31.104000, rms=0.425 (0.015%), neg=0, invalid=762 0390: dt=31.104000, rms=0.425 (0.020%), neg=0, invalid=762 0391: dt=31.104000, rms=0.425 (0.024%), neg=0, invalid=762 0392: dt=31.104000, rms=0.424 (0.024%), neg=0, invalid=762 0393: dt=31.104000, rms=0.424 (0.021%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.425, neg=0, invalid=762 0394: dt=11.200000, rms=0.425 (0.101%), neg=0, invalid=762 0395: dt=9.600000, rms=0.425 (0.027%), neg=0, invalid=762 0396: dt=9.600000, rms=0.425 (0.006%), neg=0, invalid=762 0397: dt=9.600000, rms=0.425 (-0.050%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.425, neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0398: dt=63.360000, rms=0.422 (0.609%), neg=0, invalid=762 0399: dt=32.000000, rms=0.421 (0.324%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 6 iterations, nbhd size=1, neg = 0 0400: dt=44.800000, rms=0.420 (0.134%), neg=0, invalid=762 0401: dt=44.800000, rms=0.420 (0.123%), neg=0, invalid=762 0402: dt=44.800000, rms=0.418 (0.286%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 7 iterations, nbhd size=1, neg = 0 0403: dt=44.800000, rms=0.418 (0.177%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0404: dt=44.800000, rms=0.416 (0.269%), neg=0, invalid=762 iter 0, gcam->neg = 6 after 12 iterations, nbhd size=1, neg = 0 0405: dt=44.800000, rms=0.416 (0.167%), neg=0, invalid=762 iter 0, gcam->neg = 9 after 10 iterations, nbhd size=1, neg = 0 0406: dt=44.800000, rms=0.415 (0.124%), neg=0, invalid=762 iter 0, gcam->neg = 5 after 3 iterations, nbhd size=0, neg = 0 0407: dt=44.800000, rms=0.415 (0.165%), neg=0, invalid=762 iter 0, gcam->neg = 5 after 7 iterations, nbhd size=1, neg = 0 0408: dt=44.800000, rms=0.414 (0.113%), neg=0, invalid=762 iter 0, gcam->neg = 6 after 17 iterations, nbhd size=1, neg = 0 0409: dt=44.800000, rms=0.414 (0.106%), neg=0, invalid=762 0410: dt=11.200000, rms=0.414 (0.020%), neg=0, invalid=762 0411: dt=11.200000, rms=0.414 (0.004%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0412: dt=11.200000, rms=0.414 (0.002%), neg=0, invalid=762 0413: dt=11.200000, rms=0.414 (-0.000%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.418, neg=0, invalid=762 0414: dt=0.720000, rms=0.418 (0.002%), neg=0, invalid=762 0415: dt=0.144000, rms=0.418 (0.000%), neg=0, invalid=762 0416: dt=0.144000, rms=0.418 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.418, neg=0, invalid=762 0417: dt=2.166667, rms=0.418 (0.010%), neg=0, invalid=762 0418: dt=0.864000, rms=0.418 (0.001%), neg=0, invalid=762 0419: dt=0.864000, rms=0.418 (-0.000%), neg=0, invalid=762 setting smoothness coefficient to 1.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.427, neg=0, invalid=762 0420: dt=0.000000, rms=0.427 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.427, neg=0, invalid=762 0421: dt=0.007000, rms=0.427 (0.000%), neg=0, invalid=762 0422: dt=0.007000, rms=0.427 (0.000%), neg=0, invalid=762 0423: dt=0.007000, rms=0.427 (-0.000%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.412, neg=0, invalid=762 iter 0, gcam->neg = 736 after 14 iterations, nbhd size=1, neg = 0 0424: dt=1.344199, rms=0.401 (2.721%), neg=0, invalid=762 0425: dt=0.000013, rms=0.401 (0.000%), neg=0, invalid=762 0426: dt=0.000013, rms=0.401 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.401, neg=0, invalid=762 0427: dt=0.064000, rms=0.401 (0.028%), neg=0, invalid=762 0428: dt=0.028000, rms=0.401 (0.004%), neg=0, invalid=762 0429: dt=0.028000, rms=0.401 (-0.000%), neg=0, invalid=762 writing output transformation to transforms/talairach.m3z... GCAMwrite mri_ca_register took 5 hours, 20 minutes and 30 seconds. mri_ca_register utimesec 19210.738523 mri_ca_register stimesec 12.343123 mri_ca_register ru_maxrss 1336236 mri_ca_register ru_ixrss 0 mri_ca_register ru_idrss 0 mri_ca_register ru_isrss 0 mri_ca_register ru_minflt 4275667 mri_ca_register ru_majflt 1 mri_ca_register ru_nswap 0 mri_ca_register ru_inblock 368 mri_ca_register ru_oublock 62960 mri_ca_register ru_msgsnd 0 mri_ca_register ru_msgrcv 0 mri_ca_register ru_nsignals 0 mri_ca_register ru_nvcsw 1043 mri_ca_register ru_nivcsw 57595 FSRUNTIME@ mri_ca_register 5.3418 hours 1 threads @#@FSTIME 2017:01:19:04:09:08 mri_ca_register N 11 e 19230.40 S 12.35 U 19210.74 P 99% M 1336236 F 1 R 4275674 W 0 c 57596 w 1051 I 368 O 62968 L 5.05 5.00 4.94 @#@FSLOADPOST 2017:01:19:09:29:39 mri_ca_register N 11 5.04 5.03 5.00 #-------------------------------------- #@# SubCort Seg Thu Jan 19 09:29:39 EST 2017 mri_ca_label -relabel_unlikely 9 .3 -prior 0.5 -align norm.mgz transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca aseg.auto_noCCseg.mgz sysname Linux hostname compute-0-39 machine x86_64 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_ca_label -relabel_unlikely 9 .3 -prior 0.5 -align norm.mgz transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca aseg.auto_noCCseg.mgz == Number of threads available to mri_ca_label for OpenMP = 1 == relabeling unlikely voxels with window_size = 9 and prior threshold 0.30 using Gibbs prior factor = 0.500 renormalizing sequences with structure alignment, equivalent to: -renormalize -renormalize_mean 0.500 -regularize 0.500 reading 1 input volumes reading classifier array from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca reading input volume from norm.mgz average std[0] = 7.3 reading transform from transforms/talairach.m3z setting orig areas to linear transform determinant scaled 7.34 Atlas used for the 3D morph was /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca average std = 7.3 using min determinant for regularization = 5.3 0 singular and 0 ill-conditioned covariance matrices regularized labeling volume... renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.16259 (20) mri peak = 0.10120 ( 8) Left_Lateral_Ventricle (4): linear fit = 0.38 x + 0.0 (12955 voxels, overlap=0.007) Left_Lateral_Ventricle (4): linear fit = 0.40 x + 0.0 (12955 voxels, peak = 8), gca=8.0 gca peak = 0.17677 (13) mri peak = 0.10904 ( 9) Right_Lateral_Ventricle (43): linear fit = 0.43 x + 0.0 (11576 voxels, overlap=0.270) Right_Lateral_Ventricle (43): linear fit = 0.43 x + 0.0 (11576 voxels, peak = 6), gca=5.5 gca peak = 0.28129 (95) mri peak = 0.06383 (92) Right_Pallidum (52): linear fit = 0.94 x + 0.0 (581 voxels, overlap=0.946) Right_Pallidum (52): linear fit = 0.94 x + 0.0 (581 voxels, peak = 90), gca=89.8 gca peak = 0.16930 (96) mri peak = 0.06264 (93) Left_Pallidum (13): linear fit = 0.99 x + 0.0 (524 voxels, overlap=1.022) Left_Pallidum (13): linear fit = 0.99 x + 0.0 (524 voxels, peak = 95), gca=94.6 gca peak = 0.24553 (55) mri peak = 0.08807 (54) Right_Hippocampus (53): linear fit = 0.94 x + 0.0 (912 voxels, overlap=1.004) Right_Hippocampus (53): linear fit = 0.94 x + 0.0 (912 voxels, peak = 52), gca=52.0 gca peak = 0.30264 (59) mri peak = 0.08776 (55) Left_Hippocampus (17): linear fit = 0.96 x + 0.0 (823 voxels, overlap=1.010) Left_Hippocampus (17): linear fit = 0.96 x + 0.0 (823 voxels, peak = 57), gca=56.9 gca peak = 0.07580 (103) mri peak = 0.09175 (104) Right_Cerebral_White_Matter (41): linear fit = 1.02 x + 0.0 (35850 voxels, overlap=0.643) Right_Cerebral_White_Matter (41): linear fit = 1.02 x + 0.0 (35850 voxels, peak = 106), gca=105.6 gca peak = 0.07714 (104) mri peak = 0.10136 (106) Left_Cerebral_White_Matter (2): linear fit = 1.02 x + 0.0 (36616 voxels, overlap=0.612) Left_Cerebral_White_Matter (2): linear fit = 1.02 x + 0.0 (36616 voxels, peak = 107), gca=106.6 gca peak = 0.09712 (58) mri peak = 0.03715 (56) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (19150 voxels, overlap=0.979) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (19150 voxels, peak = 59), gca=59.4 gca peak = 0.11620 (58) mri peak = 0.04064 (57) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (21236 voxels, overlap=0.982) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (21236 voxels, peak = 59), gca=59.4 gca peak = 0.30970 (66) mri peak = 0.10805 (69) Right_Caudate (50): linear fit = 1.02 x + 0.0 (1323 voxels, overlap=1.007) Right_Caudate (50): linear fit = 1.02 x + 0.0 (1323 voxels, peak = 68), gca=67.7 gca peak = 0.15280 (69) mri peak = 0.12840 (70) Left_Caudate (11): linear fit = 0.89 x + 0.0 (1207 voxels, overlap=0.515) Left_Caudate (11): linear fit = 0.89 x + 0.0 (1207 voxels, peak = 62), gca=61.8 gca peak = 0.13902 (56) mri peak = 0.05418 (50) Left_Cerebellum_Cortex (8): linear fit = 0.94 x + 0.0 (14870 voxels, overlap=0.965) Left_Cerebellum_Cortex (8): linear fit = 0.94 x + 0.0 (14870 voxels, peak = 53), gca=52.9 gca peak = 0.14777 (55) mri peak = 0.05297 (55) Right_Cerebellum_Cortex (47): linear fit = 0.96 x + 0.0 (14805 voxels, overlap=0.988) Right_Cerebellum_Cortex (47): linear fit = 0.96 x + 0.0 (14805 voxels, peak = 53), gca=53.1 gca peak = 0.16765 (84) mri peak = 0.07334 (82) Left_Cerebellum_White_Matter (7): linear fit = 0.96 x + 0.0 (3815 voxels, overlap=0.990) Left_Cerebellum_White_Matter (7): linear fit = 0.96 x + 0.0 (3815 voxels, peak = 81), gca=81.1 gca peak = 0.18739 (84) mri peak = 0.07375 (83) Right_Cerebellum_White_Matter (46): linear fit = 0.98 x + 0.0 (3652 voxels, overlap=0.989) Right_Cerebellum_White_Matter (46): linear fit = 0.98 x + 0.0 (3652 voxels, peak = 82), gca=81.9 gca peak = 0.29869 (57) mri peak = 0.08287 (53) Left_Amygdala (18): linear fit = 0.94 x + 0.0 (405 voxels, overlap=1.016) Left_Amygdala (18): linear fit = 0.94 x + 0.0 (405 voxels, peak = 54), gca=53.9 gca peak = 0.33601 (57) mri peak = 0.09725 (51) Right_Amygdala (54): linear fit = 0.89 x + 0.0 (596 voxels, overlap=0.682) Right_Amygdala (54): linear fit = 0.89 x + 0.0 (596 voxels, peak = 51), gca=51.0 gca peak = 0.11131 (90) mri peak = 0.08688 (80) Left_Thalamus_Proper (10): linear fit = 0.93 x + 0.0 (3464 voxels, overlap=0.615) Left_Thalamus_Proper (10): linear fit = 0.93 x + 0.0 (3464 voxels, peak = 83), gca=83.2 gca peak = 0.11793 (83) mri peak = 0.08928 (79) Right_Thalamus_Proper (49): linear fit = 0.98 x + 0.0 (3287 voxels, overlap=0.926) Right_Thalamus_Proper (49): linear fit = 0.98 x + 0.0 (3287 voxels, peak = 81), gca=80.9 gca peak = 0.08324 (81) mri peak = 0.08534 (70) Left_Putamen (12): linear fit = 0.90 x + 0.0 (1980 voxels, overlap=0.581) Left_Putamen (12): linear fit = 0.90 x + 0.0 (1980 voxels, peak = 73), gca=73.3 gca peak = 0.10360 (77) mri peak = 0.07550 (69) Right_Putamen (51): linear fit = 0.93 x + 0.0 (2208 voxels, overlap=0.689) Right_Putamen (51): linear fit = 0.93 x + 0.0 (2208 voxels, peak = 71), gca=71.2 gca peak = 0.08424 (78) mri peak = 0.12247 (80) Brain_Stem (16): linear fit = 1.05 x + 0.0 (9003 voxels, overlap=0.476) Brain_Stem (16): linear fit = 1.05 x + 0.0 (9003 voxels, peak = 82), gca=82.3 gca peak = 0.12631 (89) mri peak = 0.06569 (88) Right_VentralDC (60): linear fit = 1.03 x + 0.0 (1108 voxels, overlap=0.829) Right_VentralDC (60): linear fit = 1.03 x + 0.0 (1108 voxels, peak = 92), gca=92.1 gca peak = 0.14500 (87) mri peak = 0.06799 (91) Left_VentralDC (28): linear fit = 1.03 x + 0.0 (1108 voxels, overlap=0.917) Left_VentralDC (28): linear fit = 1.03 x + 0.0 (1108 voxels, peak = 90), gca=90.0 gca peak = 0.14975 (24) mri peak = 0.11550 ( 9) Third_Ventricle (14): linear fit = 0.38 x + 0.0 (324 voxels, overlap=0.052) Third_Ventricle (14): linear fit = 0.38 x + 0.0 (324 voxels, peak = 9), gca=9.0 gca peak = 0.19357 (14) mri peak = 0.12866 ( 7) Fourth_Ventricle (15): linear fit = 0.43 x + 0.0 (172 voxels, overlap=0.609) Fourth_Ventricle (15): linear fit = 0.43 x + 0.0 (172 voxels, peak = 6), gca=6.0 gca peak Unknown = 0.94835 ( 0) gca peak Left_Inf_Lat_Vent = 0.16825 (27) gca peak Left_Thalamus = 1.00000 (94) gca peak Third_Ventricle = 0.14975 (24) gca peak Fourth_Ventricle = 0.19357 (14) gca peak CSF = 0.23379 (36) gca peak Left_Accumbens_area = 0.70037 (62) gca peak Left_undetermined = 1.00000 (26) gca peak Left_vessel = 0.75997 (52) gca peak Left_choroid_plexus = 0.12089 (35) gca peak Right_Inf_Lat_Vent = 0.24655 (23) gca peak Right_Accumbens_area = 0.45042 (65) gca peak Right_vessel = 0.82168 (52) gca peak Right_choroid_plexus = 0.14516 (37) gca peak Fifth_Ventricle = 0.65475 (32) gca peak WM_hypointensities = 0.07854 (76) gca peak non_WM_hypointensities = 0.08491 (43) gca peak Optic_Chiasm = 0.71127 (75) not using caudate to estimate GM means estimating mean gm scale to be 0.97 x + 0.0 estimating mean wm scale to be 1.02 x + 0.0 estimating mean csf scale to be 0.41 x + 0.0 saving intensity scales to aseg.auto_noCCseg.label_intensities.txt renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.30838 ( 7) mri peak = 0.10120 ( 8) Left_Lateral_Ventricle (4): linear fit = 1.07 x + 0.0 (12955 voxels, overlap=1.001) Left_Lateral_Ventricle (4): linear fit = 1.07 x + 0.0 (12955 voxels, peak = 7), gca=7.5 gca peak = 0.28863 ( 6) mri peak = 0.10904 ( 9) Right_Lateral_Ventricle (43): linear fit = 1.09 x + 0.0 (11576 voxels, overlap=0.991) Right_Lateral_Ventricle (43): linear fit = 1.09 x + 0.0 (11576 voxels, peak = 7), gca=6.5 gca peak = 0.26752 (89) mri peak = 0.06383 (92) Right_Pallidum (52): linear fit = 1.00 x + 0.0 (581 voxels, overlap=1.023) Right_Pallidum (52): linear fit = 1.00 x + 0.0 (581 voxels, peak = 89), gca=88.6 gca peak = 0.20234 (95) mri peak = 0.06264 (93) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (524 voxels, overlap=1.020) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (524 voxels, peak = 95), gca=94.5 gca peak = 0.27410 (52) mri peak = 0.08807 (54) Right_Hippocampus (53): linear fit = 1.00 x + 0.0 (912 voxels, overlap=1.005) Right_Hippocampus (53): linear fit = 1.00 x + 0.0 (912 voxels, peak = 52), gca=52.0 gca peak = 0.30833 (57) mri peak = 0.08776 (55) Left_Hippocampus (17): linear fit = 1.00 x + 0.0 (823 voxels, overlap=1.007) Left_Hippocampus (17): linear fit = 1.00 x + 0.0 (823 voxels, peak = 57), gca=57.0 gca peak = 0.07614 (105) mri peak = 0.09175 (104) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (35850 voxels, overlap=0.755) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (35850 voxels, peak = 105), gca=105.0 gca peak = 0.07686 (107) mri peak = 0.10136 (106) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (36616 voxels, overlap=0.723) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (36616 voxels, peak = 106), gca=106.5 gca peak = 0.09501 (59) mri peak = 0.03715 (56) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (19150 voxels, overlap=0.957) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (19150 voxels, peak = 60), gca=60.5 gca peak = 0.11333 (59) mri peak = 0.04064 (57) Right_Cerebral_Cortex (42): linear fit = 0.96 x + 0.0 (21236 voxels, overlap=0.972) Right_Cerebral_Cortex (42): linear fit = 0.96 x + 0.0 (21236 voxels, peak = 57), gca=56.9 gca peak = 0.25450 (68) mri peak = 0.10805 (69) Right_Caudate (50): linear fit = 1.00 x + 0.0 (1323 voxels, overlap=1.010) Right_Caudate (50): linear fit = 1.00 x + 0.0 (1323 voxels, peak = 68), gca=68.0 gca peak = 0.12637 (68) mri peak = 0.12840 (70) Left_Caudate (11): linear fit = 1.00 x + 0.0 (1207 voxels, overlap=1.000) Left_Caudate (11): linear fit = 1.00 x + 0.0 (1207 voxels, peak = 68), gca=68.0 gca peak = 0.14851 (53) mri peak = 0.05418 (50) Left_Cerebellum_Cortex (8): linear fit = 0.98 x + 0.0 (14870 voxels, overlap=1.000) Left_Cerebellum_Cortex (8): linear fit = 0.98 x + 0.0 (14870 voxels, peak = 52), gca=51.7 gca peak = 0.15544 (53) mri peak = 0.05297 (55) Right_Cerebellum_Cortex (47): linear fit = 1.00 x + 0.0 (14805 voxels, overlap=0.999) Right_Cerebellum_Cortex (47): linear fit = 1.00 x + 0.0 (14805 voxels, peak = 53), gca=53.0 gca peak = 0.17048 (81) mri peak = 0.07334 (82) Left_Cerebellum_White_Matter (7): linear fit = 1.00 x + 0.0 (3815 voxels, overlap=0.966) Left_Cerebellum_White_Matter (7): linear fit = 1.00 x + 0.0 (3815 voxels, peak = 81), gca=80.6 gca peak = 0.18659 (82) mri peak = 0.07375 (83) Right_Cerebellum_White_Matter (46): linear fit = 1.00 x + 0.0 (3652 voxels, overlap=0.969) Right_Cerebellum_White_Matter (46): linear fit = 1.00 x + 0.0 (3652 voxels, peak = 82), gca=81.6 gca peak = 0.30219 (55) mri peak = 0.08287 (53) Left_Amygdala (18): linear fit = 1.00 x + 0.0 (405 voxels, overlap=1.008) Left_Amygdala (18): linear fit = 1.00 x + 0.0 (405 voxels, peak = 55), gca=55.0 gca peak = 0.35663 (51) mri peak = 0.09725 (51) Right_Amygdala (54): linear fit = 1.00 x + 0.0 (596 voxels, overlap=1.002) Right_Amygdala (54): linear fit = 1.00 x + 0.0 (596 voxels, peak = 51), gca=51.0 gca peak = 0.11490 (82) mri peak = 0.08688 (80) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (3464 voxels, overlap=0.871) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (3464 voxels, peak = 82), gca=81.6 gca peak = 0.11441 (79) mri peak = 0.08928 (79) Right_Thalamus_Proper (49): linear fit = 0.99 x + 0.0 (3287 voxels, overlap=0.919) Right_Thalamus_Proper (49): linear fit = 0.99 x + 0.0 (3287 voxels, peak = 78), gca=77.8 gca peak = 0.09293 (68) mri peak = 0.08534 (70) Left_Putamen (12): linear fit = 0.99 x + 0.0 (1980 voxels, overlap=0.988) Left_Putamen (12): linear fit = 0.99 x + 0.0 (1980 voxels, peak = 67), gca=67.0 gca peak = 0.09188 (69) mri peak = 0.07550 (69) Right_Putamen (51): linear fit = 0.99 x + 0.0 (2208 voxels, overlap=0.980) Right_Putamen (51): linear fit = 0.99 x + 0.0 (2208 voxels, peak = 68), gca=68.0 gca peak = 0.07649 (85) mri peak = 0.12247 (80) Brain_Stem (16): linear fit = 0.99 x + 0.0 (9003 voxels, overlap=0.669) Brain_Stem (16): linear fit = 0.99 x + 0.0 (9003 voxels, peak = 84), gca=83.7 gca peak = 0.12064 (92) mri peak = 0.06569 (88) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (1108 voxels, overlap=0.872) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (1108 voxels, peak = 92), gca=91.5 gca peak = 0.15509 (88) mri peak = 0.06799 (91) Left_VentralDC (28): linear fit = 1.00 x + 0.0 (1108 voxels, overlap=0.954) Left_VentralDC (28): linear fit = 1.00 x + 0.0 (1108 voxels, peak = 88), gca=87.6 gca peak = 0.37832 (11) mri peak = 0.11550 ( 9) Third_Ventricle (14): linear fit = 1.04 x + 0.0 (324 voxels, overlap=1.008) Third_Ventricle (14): linear fit = 1.04 x + 0.0 (324 voxels, peak = 11), gca=11.5 gca peak = 0.36190 ( 6) mri peak = 0.12866 ( 7) Fourth_Ventricle (15): linear fit = 1.08 x + 0.0 (172 voxels, overlap=0.941) Fourth_Ventricle (15): linear fit = 1.08 x + 0.0 (172 voxels, peak = 6), gca=6.5 gca peak Unknown = 0.94835 ( 0) gca peak Left_Inf_Lat_Vent = 0.19172 (26) gca peak Left_Thalamus = 1.00000 (91) gca peak CSF = 0.36174 (15) gca peak Left_Accumbens_area = 0.73159 (56) gca peak Left_undetermined = 1.00000 (26) gca peak Left_vessel = 0.76011 (52) gca peak Left_choroid_plexus = 0.12089 (35) gca peak Right_Inf_Lat_Vent = 0.24804 (22) gca peak Right_Accumbens_area = 0.37914 (66) gca peak Right_vessel = 0.83240 (52) gca peak Right_choroid_plexus = 0.14516 (37) gca peak Fifth_Ventricle = 0.89563 (13) gca peak WM_hypointensities = 0.06934 (78) gca peak non_WM_hypointensities = 0.07502 (56) gca peak Optic_Chiasm = 0.70933 (75) not using caudate to estimate GM means estimating mean gm scale to be 1.00 x + 0.0 estimating mean wm scale to be 1.00 x + 0.0 estimating mean csf scale to be 1.07 x + 0.0 saving intensity scales to aseg.auto_noCCseg.label_intensities.txt saving sequentially combined intensity scales to aseg.auto_noCCseg.label_intensities.txt 91754 voxels changed in iteration 0 of unlikely voxel relabeling 339 voxels changed in iteration 1 of unlikely voxel relabeling 23 voxels changed in iteration 2 of unlikely voxel relabeling 1 voxels changed in iteration 3 of unlikely voxel relabeling 0 voxels changed in iteration 4 of unlikely voxel relabeling 42775 gm and wm labels changed (%30 to gray, %70 to white out of all changed labels) 761 hippocampal voxels changed. 0 amygdala voxels changed. pass 1: 88891 changed. image ll: -2.156, PF=0.500 pass 2: 27913 changed. image ll: -2.155, PF=0.500 pass 3: 8789 changed. pass 4: 3451 changed. 59095 voxels changed in iteration 0 of unlikely voxel relabeling 254 voxels changed in iteration 1 of unlikely voxel relabeling 14 voxels changed in iteration 2 of unlikely voxel relabeling 3 voxels changed in iteration 3 of unlikely voxel relabeling 0 voxels changed in iteration 4 of unlikely voxel relabeling 9606 voxels changed in iteration 0 of unlikely voxel relabeling 132 voxels changed in iteration 1 of unlikely voxel relabeling 1 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 7519 voxels changed in iteration 0 of unlikely voxel relabeling 74 voxels changed in iteration 1 of unlikely voxel relabeling 4 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 6416 voxels changed in iteration 0 of unlikely voxel relabeling 23 voxels changed in iteration 1 of unlikely voxel relabeling 3 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling MRItoUCHAR: min=0, max=85 MRItoUCHAR: converting to UCHAR writing labeled volume to aseg.auto_noCCseg.mgz mri_ca_label utimesec 4703.236999 mri_ca_label stimesec 2.244658 mri_ca_label ru_maxrss 2130308 mri_ca_label ru_ixrss 0 mri_ca_label ru_idrss 0 mri_ca_label ru_isrss 0 mri_ca_label ru_minflt 706978 mri_ca_label ru_majflt 1 mri_ca_label ru_nswap 0 mri_ca_label ru_inblock 232 mri_ca_label ru_oublock 544 mri_ca_label ru_msgsnd 0 mri_ca_label ru_msgrcv 0 mri_ca_label ru_nsignals 0 mri_ca_label ru_nvcsw 191 mri_ca_label ru_nivcsw 10912 auto-labeling took 78 minutes and 27 seconds. @#@FSTIME 2017:01:19:09:29:39 mri_ca_label N 10 e 4707.09 S 2.30 U 4703.23 P 99% M 2130308 F 1 R 706982 W 0 c 10913 w 192 I 232 O 544 L 5.04 5.03 5.00 @#@FSLOADPOST 2017:01:19:10:48:06 mri_ca_label N 10 6.00 5.98 5.89 mri_cc -aseg aseg.auto_noCCseg.mgz -o aseg.auto.mgz -lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/transforms/cc_up.lta 004 will read input aseg from aseg.auto_noCCseg.mgz writing aseg with cc labels to aseg.auto.mgz will write lta as /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/transforms/cc_up.lta reading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aseg.auto_noCCseg.mgz reading norm from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/norm.mgz 26635 voxels in left wm, 60500 in right wm, xrange [121, 132] searching rotation angles z=[-8 6], y=[-10 4] searching scale 1 Z rot -8.0 searching scale 1 Z rot -7.8 searching scale 1 Z rot -7.5 searching scale 1 Z rot -7.3 searching scale 1 Z rot -7.0 searching scale 1 Z rot -6.8 searching scale 1 Z rot -6.5 searching scale 1 Z rot -6.3 searching scale 1 Z rot -6.0 searching scale 1 Z rot -5.8 searching scale 1 Z rot -5.5 searching scale 1 Z rot -5.3 searching scale 1 Z rot -5.0 searching scale 1 Z rot -4.8 searching scale 1 Z rot -4.5 searching scale 1 Z rot -4.3 searching scale 1 Z rot -4.0 searching scale 1 Z rot -3.8 searching scale 1 Z rot -3.5 searching scale 1 Z rot -3.3 searching scale 1 Z rot -3.0 searching scale 1 Z rot -2.8 searching scale 1 Z rot -2.5 searching scale 1 Z rot -2.3 searching scale 1 Z rot -2.0 searching scale 1 Z rot -1.8 searching scale 1 Z rot -1.5 searching scale 1 Z rot -1.3 searching scale 1 Z rot -1.0 searching scale 1 Z rot -0.8 searching scale 1 Z rot -0.5 searching scale 1 Z rot -0.3 searching scale 1 Z rot -0.0 searching scale 1 Z rot 0.2 searching scale 1 Z rot 0.5 searching scale 1 Z rot 0.7 searching scale 1 Z rot 1.0 searching scale 1 Z rot 1.2 searching scale 1 Z rot 1.5 searching scale 1 Z rot 1.7 searching scale 1 Z rot 2.0 searching scale 1 Z rot 2.2 searching scale 1 Z rot 2.5 searching scale 1 Z rot 2.7 searching scale 1 Z rot 3.0 searching scale 1 Z rot 3.2 searching scale 1 Z rot 3.5 searching scale 1 Z rot 3.7 searching scale 1 Z rot 4.0 searching scale 1 Z rot 4.2 searching scale 1 Z rot 4.5 searching scale 1 Z rot 4.7 searching scale 1 Z rot 5.0 searching scale 1 Z rot 5.2 searching scale 1 Z rot 5.5 searching scale 1 Z rot 5.7 global minimum found at slice 127.0, rotations (-2.33, -1.05) final transformation (x=127.0, yr=-2.331, zr=-1.050): 0.99900 0.01832 -0.04067 3.01157; -0.01831 0.99983 0.00075 22.27223; 0.04068 0.00000 0.99917 27.91239; 0.00000 0.00000 0.00000 1.00000; updating x range to be [127, 132] in xformed coordinates best xformed slice 129 cc center is found at 129 108 95 eigenvectors: 0.00122 0.00246 1.00000; -0.01722 -0.99985 0.00248; 0.99985 -0.01722 -0.00117; writing aseg with callosum to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aseg.auto.mgz... corpus callosum segmentation took 1.1 minutes @#@FSTIME 2017:01:19:10:48:06 mri_cc N 7 e 63.20 S 0.14 U 62.77 P 99% M 142260 F 12 R 49640 W 0 c 446 w 93 I 10024 O 528 L 6.00 5.98 5.89 @#@FSLOADPOST 2017:01:19:10:49:10 mri_cc N 7 6.00 5.98 5.90 #-------------------------------------- #@# Merge ASeg Thu Jan 19 10:49:10 EST 2017 cp aseg.auto.mgz aseg.presurf.mgz #-------------------------------------------- #@# Intensity Normalization2 Thu Jan 19 10:49:10 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_normalize -mprage -aseg aseg.presurf.mgz -mask brainmask.mgz norm.mgz brain.mgz assuming input volume is MGH (Van der Kouwe) MP-RAGE using segmentation for initial intensity normalization using MR volume brainmask.mgz to mask input volume... reading from norm.mgz... Reading aseg aseg.presurf.mgz normalizing image... processing with aseg removing outliers in the aseg WM... 1833 control points removed Building bias image building Voronoi diagram... performing soap bubble smoothing, sigma = 0... Smoothing with sigma 8 Applying bias correction building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Iterating 2 times --------------------------------- 3d normalization pass 1 of 2 white matter peak found at 110 white matter peak found at 108 gm peak at 61 (61), valley at 40 (40) csf peak at 10, setting threshold to 44 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... --------------------------------- 3d normalization pass 2 of 2 white matter peak found at 110 white matter peak found at 110 gm peak at 60 (60), valley at 39 (39) csf peak at 10, setting threshold to 43 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to brain.mgz 3D bias adjustment took 4 minutes and 2 seconds. @#@FSTIME 2017:01:19:10:49:10 mri_normalize N 7 e 246.91 S 1.70 U 244.71 P 99% M 1108492 F 0 R 595643 W 0 c 2202 w 116 I 0 O 3000 L 6.00 5.98 5.90 @#@FSLOADPOST 2017:01:19:10:53:17 mri_normalize N 7 5.99 5.97 5.91 #-------------------------------------------- #@# Mask BFS Thu Jan 19 10:53:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_mask -T 5 brain.mgz brainmask.mgz brain.finalsurfs.mgz threshold mask volume at 5 DoAbs = 0 Found 1709402 voxels in mask (pct= 10.19) Writing masked volume to brain.finalsurfs.mgz...done. @#@FSTIME 2017:01:19:10:53:17 mri_mask N 5 e 3.08 S 0.06 U 2.69 P 89% M 71892 F 12 R 18796 W 0 c 160 w 127 I 10008 O 2968 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:53:20 mri_mask N 5 5.99 5.97 5.91 #-------------------------------------------- #@# WM Segmentation Thu Jan 19 10:53:20 EST 2017 mri_segment -mprage brain.mgz wm.seg.mgz doing initial intensity segmentation... using local statistics to label ambiguous voxels... computing class statistics for intensity windows... WM (105.0): 106.2 +- 5.1 [79.0 --> 125.0] GM (68.0) : 66.3 +- 10.3 [30.0 --> 95.0] setting bottom of white matter range to 76.6 setting top of gray matter range to 86.9 doing initial intensity segmentation... using local statistics to label ambiguous voxels... using local geometry to label remaining ambiguous voxels... reclassifying voxels using Gaussian border classifier... removing voxels with positive offset direction... smoothing T1 volume with sigma = 0.250 removing 1-dimensional structures... 9590 sparsely connected voxels removed... thickening thin strands.... 20 segments, 4126 filled 4700 bright non-wm voxels segmented. 5137 diagonally connected voxels added... white matter segmentation took 1.8 minutes writing output to wm.seg.mgz... assuming input volume is MGH (Van der Kouwe) MP-RAGE @#@FSTIME 2017:01:19:10:53:20 mri_segment N 3 e 109.01 S 0.61 U 108.11 P 99% M 157892 F 0 R 233383 W 0 c 402 w 48 I 0 O 952 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:55:09 mri_segment N 3 5.99 5.97 5.91 mri_edit_wm_with_aseg -keep-in wm.seg.mgz brain.mgz aseg.presurf.mgz wm.asegedit.mgz preserving editing changes in input volume... auto filling took 0.89 minutes reading wm segmentation from wm.seg.mgz... 620 voxels added to wm to prevent paths from MTL structures to cortex 5739 additional wm voxels added 0 additional wm voxels added SEG EDIT: 133768 voxels turned on, 16191 voxels turned off. propagating editing to output volume from wm.seg.mgz 115,126,128 old 110 new 110 115,126,128 old 110 new 110 writing edited volume to wm.asegedit.mgz.... @#@FSTIME 2017:01:19:10:55:09 mri_edit_wm_with_aseg N 5 e 53.71 S 0.23 U 53.09 P 99% M 156708 F 12 R 85603 W 0 c 365 w 111 I 10000 O 920 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:56:03 mri_edit_wm_with_aseg N 5 5.98 5.96 5.91 mri_pretess wm.asegedit.mgz wm norm.mgz wm.mgz Iteration Number : 1 pass 1 (xy+): 39 found - 39 modified | TOTAL: 39 pass 2 (xy+): 0 found - 39 modified | TOTAL: 39 pass 1 (xy-): 38 found - 38 modified | TOTAL: 77 pass 2 (xy-): 0 found - 38 modified | TOTAL: 77 pass 1 (yz+): 44 found - 44 modified | TOTAL: 121 pass 2 (yz+): 0 found - 44 modified | TOTAL: 121 pass 1 (yz-): 44 found - 44 modified | TOTAL: 165 pass 2 (yz-): 0 found - 44 modified | TOTAL: 165 pass 1 (xz+): 30 found - 30 modified | TOTAL: 195 pass 2 (xz+): 0 found - 30 modified | TOTAL: 195 pass 1 (xz-): 38 found - 38 modified | TOTAL: 233 pass 2 (xz-): 0 found - 38 modified | TOTAL: 233 Iteration Number : 1 pass 1 (+++): 44 found - 44 modified | TOTAL: 44 pass 2 (+++): 0 found - 44 modified | TOTAL: 44 pass 1 (+++): 30 found - 30 modified | TOTAL: 74 pass 2 (+++): 0 found - 30 modified | TOTAL: 74 pass 1 (+++): 33 found - 33 modified | TOTAL: 107 pass 2 (+++): 0 found - 33 modified | TOTAL: 107 pass 1 (+++): 23 found - 23 modified | TOTAL: 130 pass 2 (+++): 0 found - 23 modified | TOTAL: 130 Iteration Number : 1 pass 1 (++): 187 found - 187 modified | TOTAL: 187 pass 2 (++): 0 found - 187 modified | TOTAL: 187 pass 1 (+-): 165 found - 165 modified | TOTAL: 352 pass 2 (+-): 0 found - 165 modified | TOTAL: 352 pass 1 (--): 195 found - 195 modified | TOTAL: 547 pass 2 (--): 0 found - 195 modified | TOTAL: 547 pass 1 (-+): 197 found - 197 modified | TOTAL: 744 pass 2 (-+): 0 found - 197 modified | TOTAL: 744 Iteration Number : 2 pass 1 (xy+): 15 found - 15 modified | TOTAL: 15 pass 2 (xy+): 0 found - 15 modified | TOTAL: 15 pass 1 (xy-): 9 found - 9 modified | TOTAL: 24 pass 2 (xy-): 0 found - 9 modified | TOTAL: 24 pass 1 (yz+): 9 found - 9 modified | TOTAL: 33 pass 2 (yz+): 0 found - 9 modified | TOTAL: 33 pass 1 (yz-): 12 found - 12 modified | TOTAL: 45 pass 2 (yz-): 0 found - 12 modified | TOTAL: 45 pass 1 (xz+): 8 found - 8 modified | TOTAL: 53 pass 2 (xz+): 0 found - 8 modified | TOTAL: 53 pass 1 (xz-): 13 found - 13 modified | TOTAL: 66 pass 2 (xz-): 0 found - 13 modified | TOTAL: 66 Iteration Number : 2 pass 1 (+++): 3 found - 3 modified | TOTAL: 3 pass 2 (+++): 0 found - 3 modified | TOTAL: 3 pass 1 (+++): 0 found - 0 modified | TOTAL: 3 pass 1 (+++): 1 found - 1 modified | TOTAL: 4 pass 2 (+++): 0 found - 1 modified | TOTAL: 4 pass 1 (+++): 4 found - 4 modified | TOTAL: 8 pass 2 (+++): 0 found - 4 modified | TOTAL: 8 Iteration Number : 2 pass 1 (++): 7 found - 7 modified | TOTAL: 7 pass 2 (++): 0 found - 7 modified | TOTAL: 7 pass 1 (+-): 4 found - 4 modified | TOTAL: 11 pass 2 (+-): 0 found - 4 modified | TOTAL: 11 pass 1 (--): 12 found - 12 modified | TOTAL: 23 pass 2 (--): 0 found - 12 modified | TOTAL: 23 pass 1 (-+): 5 found - 5 modified | TOTAL: 28 pass 2 (-+): 0 found - 5 modified | TOTAL: 28 Iteration Number : 3 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 1 found - 1 modified | TOTAL: 1 pass 2 (yz+): 0 found - 1 modified | TOTAL: 1 pass 1 (yz-): 0 found - 0 modified | TOTAL: 1 pass 1 (xz+): 0 found - 0 modified | TOTAL: 1 pass 1 (xz-): 1 found - 1 modified | TOTAL: 2 pass 2 (xz-): 0 found - 1 modified | TOTAL: 2 Iteration Number : 3 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 3 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 1 found - 1 modified | TOTAL: 1 pass 2 (-+): 0 found - 1 modified | TOTAL: 1 Iteration Number : 4 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 1 found - 1 modified | TOTAL: 1 pass 2 (xy-): 0 found - 1 modified | TOTAL: 1 pass 1 (yz+): 0 found - 0 modified | TOTAL: 1 pass 1 (yz-): 0 found - 0 modified | TOTAL: 1 pass 1 (xz+): 0 found - 0 modified | TOTAL: 1 pass 1 (xz-): 0 found - 0 modified | TOTAL: 1 Iteration Number : 4 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 4 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Iteration Number : 5 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 5 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 5 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 1213 (out of 612325: 0.198097) binarizing input wm segmentation... Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:56:03 mri_pretess N 4 e 6.83 S 0.06 U 6.41 P 94% M 54788 F 0 R 13870 W 0 c 920 w 64 I 0 O 928 L 5.98 5.96 5.91 @#@FSLOADPOST 2017:01:19:10:56:10 mri_pretess N 4 5.98 5.96 5.91 #-------------------------------------------- #@# Fill Thu Jan 19 10:56:10 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_fill -a ../scripts/ponscc.cut.log -xform transforms/talairach.lta -segmentation aseg.auto_noCCseg.mgz wm.mgz filled.mgz logging cutting plane coordinates to ../scripts/ponscc.cut.log... INFO: Using transforms/talairach.lta and its offset for Talairach volume ... using segmentation aseg.auto_noCCseg.mgz... reading input volume...done. searching for cutting planes...voxel to talairach voxel transform 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11320; 0.02656 -0.16037 0.94853 18.90350; 0.00000 0.00000 0.00000 1.00000; voxel to talairach voxel transform 1.05326 0.01278 -0.02122 -8.15660; -0.00892 1.06193 0.17175 -22.11320; 0.02656 -0.16037 0.94853 18.90350; 0.00000 0.00000 0.00000 1.00000; reading segmented volume aseg.auto_noCCseg.mgz... Looking for area (min, max) = (350, 1400) area[0] = 1750 (min = 350, max = 1400), aspect = 0.58 (min = 0.10, max = 0.75) need search nearby using seed (126, 116, 88), TAL = (2.0, -40.0, 12.0) talairach voxel to voxel transform 0.94880 -0.00800 0.02268 7.13338; 0.01194 0.91652 -0.16569 23.49666; -0.02455 0.15518 1.02562 -16.15637; 0.00000 0.00000 0.00000 1.00000; segmentation indicates cc at (126, 116, 88) --> (2.0, -40.0, 12.0) done. writing output to filled.mgz... filling took 0.8 minutes talairach cc position changed to (2.00, -40.00, 12.00) Erasing brainstem...done. seed_search_size = 9, min_neighbors = 5 search rh wm seed point around talairach space:(20.00, -40.00, 12.00) SRC: (110.67, 116.52, 89.45) search lh wm seed point around talairach space (-16.00, -40.00, 12.00), SRC: (144.83, 116.95, 88.56) compute mri_fill using aseg Erasing Brain Stem and Cerebellum ... Define left and right masks using aseg: Building Voronoi diagram ... Using the Voronoi diagram to separate WM into two hemispheres ... Find the largest connected component for each hemisphere ... @#@FSTIME 2017:01:19:10:56:10 mri_fill N 8 e 51.34 S 0.41 U 50.47 P 99% M 190336 F 0 R 114858 W 0 c 3286 w 55 I 0 O 296 L 5.98 5.96 5.91 @#@FSLOADPOST 2017:01:19:10:57:02 mri_fill N 8 5.99 5.97 5.91 #-------------------------------------------- #@# Tessellate lh Thu Jan 19 10:57:02 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mri_pretess ../mri/filled.mgz 255 ../mri/norm.mgz ../mri/filled-pretess255.mgz Iteration Number : 1 pass 1 (xy+): 1 found - 1 modified | TOTAL: 1 pass 2 (xy+): 0 found - 1 modified | TOTAL: 1 pass 1 (xy-): 3 found - 3 modified | TOTAL: 4 pass 2 (xy-): 0 found - 3 modified | TOTAL: 4 pass 1 (yz+): 1 found - 1 modified | TOTAL: 5 pass 2 (yz+): 0 found - 1 modified | TOTAL: 5 pass 1 (yz-): 0 found - 0 modified | TOTAL: 5 pass 1 (xz+): 0 found - 0 modified | TOTAL: 5 pass 1 (xz-): 2 found - 2 modified | TOTAL: 7 pass 2 (xz-): 0 found - 2 modified | TOTAL: 7 Iteration Number : 1 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 1 pass 1 (++): 1 found - 1 modified | TOTAL: 1 pass 2 (++): 0 found - 1 modified | TOTAL: 1 pass 1 (+-): 0 found - 0 modified | TOTAL: 1 pass 1 (--): 0 found - 0 modified | TOTAL: 1 pass 1 (-+): 1 found - 1 modified | TOTAL: 2 pass 2 (-+): 0 found - 1 modified | TOTAL: 2 Iteration Number : 2 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 9 (out of 303984: 0.002961) Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:57:02 mri_pretess N 4 e 3.43 S 0.03 U 3.27 P 96% M 38284 F 0 R 9697 W 0 c 102 w 51 I 0 O 288 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:57:05 mri_pretess N 4 5.99 5.97 5.91 mri_tessellate ../mri/filled-pretess255.mgz 255 ../surf/lh.orig.nofix $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ slice 30: 827 vertices, 933 faces slice 40: 6898 vertices, 7184 faces slice 50: 16713 vertices, 17077 faces slice 60: 28301 vertices, 28693 faces slice 70: 40197 vertices, 40641 faces slice 80: 51236 vertices, 51593 faces slice 90: 62300 vertices, 62762 faces slice 100: 75243 vertices, 75765 faces slice 110: 87471 vertices, 87953 faces slice 120: 98774 vertices, 99244 faces slice 130: 109688 vertices, 110166 faces slice 140: 119839 vertices, 120253 faces slice 150: 127855 vertices, 128238 faces slice 160: 135591 vertices, 135975 faces slice 170: 142443 vertices, 142807 faces slice 180: 148724 vertices, 149058 faces slice 190: 153815 vertices, 154108 faces slice 200: 156384 vertices, 156549 faces slice 210: 156470 vertices, 156608 faces slice 220: 156470 vertices, 156608 faces slice 230: 156470 vertices, 156608 faces slice 240: 156470 vertices, 156608 faces slice 250: 156470 vertices, 156608 faces using the conformed surface RAS to save vertex points... writing ../surf/lh.orig.nofix using vox2ras matrix: -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; @#@FSTIME 2017:01:19:10:57:05 mri_tessellate N 3 e 3.14 S 0.02 U 2.90 P 93% M 42280 F 0 R 6287 W 0 c 137 w 131 I 0 O 7344 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:57:08 mri_tessellate N 3 5.99 5.97 5.91 rm -f ../mri/filled-pretess255.mgz mris_extract_main_component ../surf/lh.orig.nofix ../surf/lh.orig.nofix counting number of connected components... 156470 voxel in cpt #1: X=-138 [v=156470,e=469824,f=313216] located at (-27.528351, -23.815792, 17.553051) For the whole surface: X=-138 [v=156470,e=469824,f=313216] One single component has been found nothing to do done @#@FSTIME 2017:01:19:10:57:08 mris_extract_main_component N 2 e 3.42 S 0.16 U 2.96 P 91% M 320776 F 12 R 31217 W 0 c 367 w 271 I 10104 O 11016 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:57:12 mris_extract_main_component N 2 5.99 5.97 5.91 #-------------------------------------------- #@# Tessellate rh Thu Jan 19 10:57:12 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mri_pretess ../mri/filled.mgz 127 ../mri/norm.mgz ../mri/filled-pretess127.mgz Iteration Number : 1 pass 1 (xy+): 2 found - 2 modified | TOTAL: 2 pass 2 (xy+): 0 found - 2 modified | TOTAL: 2 pass 1 (xy-): 1 found - 1 modified | TOTAL: 3 pass 2 (xy-): 0 found - 1 modified | TOTAL: 3 pass 1 (yz+): 6 found - 6 modified | TOTAL: 9 pass 2 (yz+): 0 found - 6 modified | TOTAL: 9 pass 1 (yz-): 0 found - 0 modified | TOTAL: 9 pass 1 (xz+): 0 found - 0 modified | TOTAL: 9 pass 1 (xz-): 2 found - 2 modified | TOTAL: 11 pass 2 (xz-): 0 found - 2 modified | TOTAL: 11 Iteration Number : 1 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 1 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 2 found - 2 modified | TOTAL: 2 pass 2 (-+): 0 found - 2 modified | TOTAL: 2 Iteration Number : 2 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 13 (out of 298597: 0.004354) Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:57:12 mri_pretess N 4 e 3.37 S 0.02 U 3.14 P 94% M 38280 F 0 R 9696 W 0 c 62 w 54 I 0 O 288 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:57:15 mri_pretess N 4 5.99 5.97 5.91 mri_tessellate ../mri/filled-pretess127.mgz 127 ../surf/rh.orig.nofix $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ slice 30: 208 vertices, 244 faces slice 40: 3714 vertices, 3926 faces slice 50: 10831 vertices, 11126 faces slice 60: 20694 vertices, 21096 faces slice 70: 32128 vertices, 32541 faces slice 80: 44000 vertices, 44384 faces slice 90: 54638 vertices, 55061 faces slice 100: 66730 vertices, 67205 faces slice 110: 79628 vertices, 80074 faces slice 120: 91635 vertices, 92147 faces slice 130: 103143 vertices, 103656 faces slice 140: 114141 vertices, 114569 faces slice 150: 123200 vertices, 123577 faces slice 160: 131193 vertices, 131589 faces slice 170: 138488 vertices, 138833 faces slice 180: 145424 vertices, 145759 faces slice 190: 151106 vertices, 151387 faces slice 200: 154725 vertices, 154905 faces slice 210: 155080 vertices, 155196 faces slice 220: 155080 vertices, 155196 faces slice 230: 155080 vertices, 155196 faces slice 240: 155080 vertices, 155196 faces slice 250: 155080 vertices, 155196 faces using the conformed surface RAS to save vertex points... writing ../surf/rh.orig.nofix using vox2ras matrix: -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; @#@FSTIME 2017:01:19:10:57:16 mri_tessellate N 3 e 3.48 S 0.07 U 3.10 P 91% M 41528 F 0 R 6043 W 0 c 1549 w 186 I 0 O 7280 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:57:19 mri_tessellate N 3 5.99 5.97 5.91 rm -f ../mri/filled-pretess127.mgz mris_extract_main_component ../surf/rh.orig.nofix ../surf/rh.orig.nofix counting number of connected components... 155080 voxel in cpt #1: X=-116 [v=155080,e=465588,f=310392] located at (27.783363, -18.524117, 19.342991) For the whole surface: X=-116 [v=155080,e=465588,f=310392] One single component has been found nothing to do done @#@FSTIME 2017:01:19:10:57:19 mris_extract_main_component N 2 e 3.67 S 0.19 U 3.21 P 92% M 317864 F 0 R 31012 W 0 c 1516 w 176 I 0 O 10912 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:57:23 mris_extract_main_component N 2 5.99 5.97 5.91 #-------------------------------------------- #@# Smooth1 lh Thu Jan 19 10:57:23 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_smooth -nw -seed 1234 ../surf/lh.orig.nofix ../surf/lh.smoothwm.nofix setting seed for random number generator to 1234 smoothing surface tessellation for 10 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:10:57:23 mris_smooth N 5 e 8.01 S 0.11 U 7.75 P 98% M 200872 F 1 R 25813 W 0 c 216 w 231 I 608 O 11016 L 5.99 5.97 5.91 @#@FSLOADPOST 2017:01:19:10:57:31 mris_smooth N 5 6.07 5.98 5.91 #-------------------------------------------- #@# Smooth1 rh Thu Jan 19 10:57:31 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_smooth -nw -seed 1234 ../surf/rh.orig.nofix ../surf/rh.smoothwm.nofix setting seed for random number generator to 1234 smoothing surface tessellation for 10 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:10:57:31 mris_smooth N 5 e 7.77 S 0.11 U 7.39 P 96% M 199048 F 0 R 25359 W 0 c 305 w 185 I 0 O 10912 L 6.07 5.98 5.91 @#@FSLOADPOST 2017:01:19:10:57:39 mris_smooth N 5 6.13 6.00 5.92 #-------------------------------------------- #@# Inflation1 lh Thu Jan 19 10:57:39 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_inflate -no-save-sulc ../surf/lh.smoothwm.nofix ../surf/lh.inflated.nofix Not saving sulc Reading ../surf/lh.smoothwm.nofix avg radius = 50.6 mm, total surface area = 80420 mm^2 writing inflated surface to ../surf/lh.inflated.nofix inflation took 1.2 minutes step 000: RMS=0.163 (target=0.015) step 005: RMS=0.124 (target=0.015) step 010: RMS=0.093 (target=0.015) step 015: RMS=0.079 (target=0.015) step 020: RMS=0.068 (target=0.015) step 025: RMS=0.060 (target=0.015) step 030: RMS=0.055 (target=0.015) step 035: RMS=0.051 (target=0.015) step 040: RMS=0.048 (target=0.015) step 045: RMS=0.045 (target=0.015) step 050: RMS=0.044 (target=0.015) step 055: RMS=0.043 (target=0.015) step 060: RMS=0.043 (target=0.015) inflation complete. Not saving sulc mris_inflate utimesec 71.497130 mris_inflate stimesec 0.116982 mris_inflate ru_maxrss 200868 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 25299 mris_inflate ru_majflt 1 mris_inflate ru_nswap 0 mris_inflate ru_inblock 616 mris_inflate ru_oublock 11016 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 258 mris_inflate ru_nivcsw 289 @#@FSTIME 2017:01:19:10:57:39 mris_inflate N 3 e 71.81 S 0.13 U 71.49 P 99% M 200868 F 1 R 25302 W 0 c 289 w 259 I 616 O 11016 L 6.13 6.00 5.92 @#@FSLOADPOST 2017:01:19:10:58:51 mris_inflate N 3 5.34 5.81 5.86 #-------------------------------------------- #@# Inflation1 rh Thu Jan 19 10:58:51 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_inflate -no-save-sulc ../surf/rh.smoothwm.nofix ../surf/rh.inflated.nofix Not saving sulc Reading ../surf/rh.smoothwm.nofix avg radius = 49.4 mm, total surface area = 79200 mm^2 writing inflated surface to ../surf/rh.inflated.nofix inflation took 1.0 minutes step 000: RMS=0.165 (target=0.015) step 005: RMS=0.125 (target=0.015) step 010: RMS=0.094 (target=0.015) step 015: RMS=0.079 (target=0.015) step 020: RMS=0.070 (target=0.015) step 025: RMS=0.062 (target=0.015) step 030: RMS=0.056 (target=0.015) step 035: RMS=0.051 (target=0.015) step 040: RMS=0.049 (target=0.015) step 045: RMS=0.046 (target=0.015) step 050: RMS=0.044 (target=0.015) step 055: RMS=0.045 (target=0.015) step 060: RMS=0.044 (target=0.015) inflation complete. Not saving sulc mris_inflate utimesec 60.897742 mris_inflate stimesec 0.101984 mris_inflate ru_maxrss 199048 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 25357 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 10920 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 225 mris_inflate ru_nivcsw 260 @#@FSTIME 2017:01:19:10:58:51 mris_inflate N 3 e 61.21 S 0.11 U 60.89 P 99% M 199048 F 0 R 25360 W 0 c 260 w 227 I 0 O 10920 L 5.34 5.81 5.86 @#@FSLOADPOST 2017:01:19:10:59:52 mris_inflate N 3 5.18 5.68 5.81 #-------------------------------------------- #@# QSphere lh Thu Jan 19 10:59:52 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_sphere -q -seed 1234 ../surf/lh.inflated.nofix ../surf/lh.qsphere.nofix doing quick spherical unfolding. setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... vertex spacing 0.91 +- 0.56 (0.00-->6.49) (max @ vno 108302 --> 108303) face area 0.02 +- 0.03 (-0.13-->0.70) == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.291... inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=176.705, avgs=0 005/300: dt: 0.9000, rms radial error=176.445, avgs=0 010/300: dt: 0.9000, rms radial error=175.887, avgs=0 015/300: dt: 0.9000, rms radial error=175.155, avgs=0 020/300: dt: 0.9000, rms radial error=174.320, avgs=0 025/300: dt: 0.9000, rms radial error=173.427, avgs=0 030/300: dt: 0.9000, rms radial error=172.502, avgs=0 035/300: dt: 0.9000, rms radial error=171.560, avgs=0 040/300: dt: 0.9000, rms radial error=170.611, avgs=0 045/300: dt: 0.9000, rms radial error=169.658, avgs=0 050/300: dt: 0.9000, rms radial error=168.706, avgs=0 055/300: dt: 0.9000, rms radial error=167.763, avgs=0 060/300: dt: 0.9000, rms radial error=166.823, avgs=0 065/300: dt: 0.9000, rms radial error=165.888, avgs=0 070/300: dt: 0.9000, rms radial error=164.958, avgs=0 075/300: dt: 0.9000, rms radial error=164.032, avgs=0 080/300: dt: 0.9000, rms radial error=163.111, avgs=0 085/300: dt: 0.9000, rms radial error=162.196, avgs=0 090/300: dt: 0.9000, rms radial error=161.285, avgs=0 095/300: dt: 0.9000, rms radial error=160.379, avgs=0 100/300: dt: 0.9000, rms radial error=159.478, avgs=0 105/300: dt: 0.9000, rms radial error=158.583, avgs=0 110/300: dt: 0.9000, rms radial error=157.692, avgs=0 115/300: dt: 0.9000, rms radial error=156.806, avgs=0 120/300: dt: 0.9000, rms radial error=155.925, avgs=0 125/300: dt: 0.9000, rms radial error=155.049, avgs=0 130/300: dt: 0.9000, rms radial error=154.178, avgs=0 135/300: dt: 0.9000, rms radial error=153.312, avgs=0 140/300: dt: 0.9000, rms radial error=152.451, avgs=0 145/300: dt: 0.9000, rms radial error=151.594, avgs=0 150/300: dt: 0.9000, rms radial error=150.742, avgs=0 155/300: dt: 0.9000, rms radial error=149.894, avgs=0 160/300: dt: 0.9000, rms radial error=149.051, avgs=0 165/300: dt: 0.9000, rms radial error=148.213, avgs=0 170/300: dt: 0.9000, rms radial error=147.379, avgs=0 175/300: dt: 0.9000, rms radial error=146.550, avgs=0 180/300: dt: 0.9000, rms radial error=145.726, avgs=0 185/300: dt: 0.9000, rms radial error=144.906, avgs=0 190/300: dt: 0.9000, rms radial error=144.090, avgs=0 195/300: dt: 0.9000, rms radial error=143.279, avgs=0 200/300: dt: 0.9000, rms radial error=142.473, avgs=0 205/300: dt: 0.9000, rms radial error=141.670, avgs=0 210/300: dt: 0.9000, rms radial error=140.872, avgs=0 215/300: dt: 0.9000, rms radial error=140.079, avgs=0 220/300: dt: 0.9000, rms radial error=139.290, avgs=0 225/300: dt: 0.9000, rms radial error=138.505, avgs=0 230/300: dt: 0.9000, rms radial error=137.725, avgs=0 235/300: dt: 0.9000, rms radial error=136.949, avgs=0 240/300: dt: 0.9000, rms radial error=136.177, avgs=0 245/300: dt: 0.9000, rms radial error=135.410, avgs=0 250/300: dt: 0.9000, rms radial error=134.647, avgs=0 255/300: dt: 0.9000, rms radial error=133.888, avgs=0 260/300: dt: 0.9000, rms radial error=133.134, avgs=0 265/300: dt: 0.9000, rms radial error=132.383, avgs=0 270/300: dt: 0.9000, rms radial error=131.637, avgs=0 275/300: dt: 0.9000, rms radial error=130.895, avgs=0 280/300: dt: 0.9000, rms radial error=130.157, avgs=0 285/300: dt: 0.9000, rms radial error=129.423, avgs=0 290/300: dt: 0.9000, rms radial error=128.693, avgs=0 295/300: dt: 0.9000, rms radial error=127.967, avgs=0 300/300: dt: 0.9000, rms radial error=127.245, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 18806.80 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00013 epoch 2 (K=40.0), pass 1, starting sse = 3366.55 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00009 epoch 3 (K=160.0), pass 1, starting sse = 401.54 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.06/11 = 0.00587 epoch 4 (K=640.0), pass 1, starting sse = 30.72 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.11/12 = 0.00923 final distance error %29.32 writing spherical brain to ../surf/lh.qsphere.nofix spherical transformation took 0.12 hours mris_sphere utimesec 422.843717 mris_sphere stimesec 0.126980 mris_sphere ru_maxrss 201056 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 25345 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 11016 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 180 mris_sphere ru_nivcsw 700 FSRUNTIME@ mris_sphere 0.1176 hours 1 threads @#@FSTIME 2017:01:19:10:59:52 mris_sphere N 5 e 423.25 S 0.13 U 422.84 P 99% M 201056 F 0 R 25349 W 0 c 702 w 181 I 0 O 11016 L 5.18 5.68 5.81 @#@FSLOADPOST 2017:01:19:11:06:56 mris_sphere N 5 4.99 5.15 5.49 #-------------------------------------------- #@# QSphere rh Thu Jan 19 11:06:56 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_sphere -q -seed 1234 ../surf/rh.inflated.nofix ../surf/rh.qsphere.nofix doing quick spherical unfolding. setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... vertex spacing 0.92 +- 0.56 (0.00-->6.17) (max @ vno 67557 --> 68825) face area 0.02 +- 0.03 (-0.07-->0.61) == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.291... inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=176.998, avgs=0 005/300: dt: 0.9000, rms radial error=176.739, avgs=0 010/300: dt: 0.9000, rms radial error=176.183, avgs=0 015/300: dt: 0.9000, rms radial error=175.451, avgs=0 020/300: dt: 0.9000, rms radial error=174.617, avgs=0 025/300: dt: 0.9000, rms radial error=173.724, avgs=0 030/300: dt: 0.9000, rms radial error=172.799, avgs=0 035/300: dt: 0.9000, rms radial error=171.858, avgs=0 040/300: dt: 0.9000, rms radial error=170.911, avgs=0 045/300: dt: 0.9000, rms radial error=169.961, avgs=0 050/300: dt: 0.9000, rms radial error=169.012, avgs=0 055/300: dt: 0.9000, rms radial error=168.066, avgs=0 060/300: dt: 0.9000, rms radial error=167.124, avgs=0 065/300: dt: 0.9000, rms radial error=166.186, avgs=0 070/300: dt: 0.9000, rms radial error=165.253, avgs=0 075/300: dt: 0.9000, rms radial error=164.325, avgs=0 080/300: dt: 0.9000, rms radial error=163.402, avgs=0 085/300: dt: 0.9000, rms radial error=162.484, avgs=0 090/300: dt: 0.9000, rms radial error=161.570, avgs=0 095/300: dt: 0.9000, rms radial error=160.662, avgs=0 100/300: dt: 0.9000, rms radial error=159.760, avgs=0 105/300: dt: 0.9000, rms radial error=158.862, avgs=0 110/300: dt: 0.9000, rms radial error=157.969, avgs=0 115/300: dt: 0.9000, rms radial error=157.081, avgs=0 120/300: dt: 0.9000, rms radial error=156.198, avgs=0 125/300: dt: 0.9000, rms radial error=155.319, avgs=0 130/300: dt: 0.9000, rms radial error=154.446, avgs=0 135/300: dt: 0.9000, rms radial error=153.577, avgs=0 140/300: dt: 0.9000, rms radial error=152.713, avgs=0 145/300: dt: 0.9000, rms radial error=151.854, avgs=0 150/300: dt: 0.9000, rms radial error=151.000, avgs=0 155/300: dt: 0.9000, rms radial error=150.151, avgs=0 160/300: dt: 0.9000, rms radial error=149.306, avgs=0 165/300: dt: 0.9000, rms radial error=148.465, avgs=0 170/300: dt: 0.9000, rms radial error=147.630, avgs=0 175/300: dt: 0.9000, rms radial error=146.799, avgs=0 180/300: dt: 0.9000, rms radial error=145.973, avgs=0 185/300: dt: 0.9000, rms radial error=145.151, avgs=0 190/300: dt: 0.9000, rms radial error=144.334, avgs=0 195/300: dt: 0.9000, rms radial error=143.522, avgs=0 200/300: dt: 0.9000, rms radial error=142.714, avgs=0 205/300: dt: 0.9000, rms radial error=141.910, avgs=0 210/300: dt: 0.9000, rms radial error=141.111, avgs=0 215/300: dt: 0.9000, rms radial error=140.316, avgs=0 220/300: dt: 0.9000, rms radial error=139.526, avgs=0 225/300: dt: 0.9000, rms radial error=138.740, avgs=0 230/300: dt: 0.9000, rms radial error=137.959, avgs=0 235/300: dt: 0.9000, rms radial error=137.182, avgs=0 240/300: dt: 0.9000, rms radial error=136.409, avgs=0 245/300: dt: 0.9000, rms radial error=135.641, avgs=0 250/300: dt: 0.9000, rms radial error=134.877, avgs=0 255/300: dt: 0.9000, rms radial error=134.117, avgs=0 260/300: dt: 0.9000, rms radial error=133.362, avgs=0 265/300: dt: 0.9000, rms radial error=132.611, avgs=0 270/300: dt: 0.9000, rms radial error=131.865, avgs=0 275/300: dt: 0.9000, rms radial error=131.122, avgs=0 280/300: dt: 0.9000, rms radial error=130.384, avgs=0 285/300: dt: 0.9000, rms radial error=129.649, avgs=0 290/300: dt: 0.9000, rms radial error=128.919, avgs=0 295/300: dt: 0.9000, rms radial error=128.193, avgs=0 300/300: dt: 0.9000, rms radial error=127.471, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 18614.21 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00014 epoch 2 (K=40.0), pass 1, starting sse = 3287.73 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00008 epoch 3 (K=160.0), pass 1, starting sse = 384.82 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.08/11 = 0.00735 epoch 4 (K=640.0), pass 1, starting sse = 28.73 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.17/16 = 0.01059 final distance error %27.41 writing spherical brain to ../surf/rh.qsphere.nofix spherical transformation took 0.11 hours mris_sphere utimesec 400.919051 mris_sphere stimesec 0.100984 mris_sphere ru_maxrss 199244 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 25403 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 10920 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 197 mris_sphere ru_nivcsw 651 FSRUNTIME@ mris_sphere 0.1115 hours 1 threads @#@FSTIME 2017:01:19:11:06:56 mris_sphere N 5 e 401.28 S 0.11 U 400.92 P 99% M 199244 F 0 R 25407 W 0 c 653 w 199 I 0 O 10920 L 4.99 5.15 5.49 @#@FSLOADPOST 2017:01:19:11:13:37 mris_sphere N 5 4.99 5.03 5.31 #-------------------------------------------- #@# Fix Topology Copy lh Thu Jan 19 11:13:37 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts cp ../surf/lh.orig.nofix ../surf/lh.orig cp ../surf/lh.inflated.nofix ../surf/lh.inflated #-------------------------------------------- #@# Fix Topology Copy rh Thu Jan 19 11:13:37 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts cp ../surf/rh.orig.nofix ../surf/rh.orig cp ../surf/rh.inflated.nofix ../surf/rh.inflated #@# Fix Topology lh Thu Jan 19 11:13:38 EST 2017 mris_fix_topology -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_fix_topology.lh.dat -mgz -sphere qsphere.nofix -ga -seed 1234 004 lh reading spherical homeomorphism from 'qsphere.nofix' using genetic algorithm with optimized parameters setting seed for random number genererator to 1234 ************************************************************* Topology Correction Parameters retessellation mode: genetic search number of patches/generation : 10 number of generations : 10 surface mri loglikelihood coefficient : 1.0 volume mri loglikelihood coefficient : 10.0 normal dot loglikelihood coefficient : 1.0 quadratic curvature loglikelihood coefficient : 1.0 volume resolution : 2 eliminate vertices during search : 1 initial patch selection : 1 select all defect vertices : 0 ordering dependant retessellation: 0 use precomputed edge table : 0 smooth retessellated patch : 2 match retessellated patch : 1 verbose mode : 0 ************************************************************* INFO: assuming .mgz format $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ before topology correction, eno=-138 (nv=156470, nf=313216, ne=469824, g=70) using quasi-homeomorphic spherical map to tessellate cortical surface... Correction of the Topology Finding true center and radius of Spherical Surface...done Surface centered at (0,0,0) with radius 100.0 in 10 iterations marking ambiguous vertices... 6827 ambiguous faces found in tessellation segmenting defects... 75 defects found, arbitrating ambiguous regions... analyzing neighboring defects... -merging segment 26 into 24 -merging segment 44 into 40 -merging segment 46 into 41 -merging segment 73 into 69 71 defects to be corrected 0 vertices coincident reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.qsphere.nofix... reading brain volume from brain... reading wm segmentation from wm... Computing Initial Surface Statistics -face loglikelihood: -9.6396 (-4.8198) -vertex loglikelihood: -6.6543 (-3.3271) -normal dot loglikelihood: -3.5715 (-3.5715) -quad curv loglikelihood: -6.2677 (-3.1339) Total Loglikelihood : -26.1331 CORRECTING DEFECT 0 (vertices=96, convex hull=118, v0=122) After retessellation of defect 0 (v0=122), euler #=-71 (152167,454444,302206) : difference with theory (-68) = 3 CORRECTING DEFECT 1 (vertices=9, convex hull=27, v0=368) After retessellation of defect 1 (v0=368), euler #=-70 (152168,454456,302218) : difference with theory (-67) = 3 CORRECTING DEFECT 2 (vertices=77, convex hull=95, v0=1166) After retessellation of defect 2 (v0=1166), euler #=-69 (152191,454567,302307) : difference with theory (-66) = 3 CORRECTING DEFECT 3 (vertices=100, convex hull=104, v0=1575) After retessellation of defect 3 (v0=1575), euler #=-68 (152205,454656,302383) : difference with theory (-65) = 3 CORRECTING DEFECT 4 (vertices=34, convex hull=73, v0=1978) After retessellation of defect 4 (v0=1978), euler #=-67 (152220,454730,302443) : difference with theory (-64) = 3 CORRECTING DEFECT 5 (vertices=30, convex hull=62, v0=2673) After retessellation of defect 5 (v0=2673), euler #=-66 (152230,454785,302489) : difference with theory (-63) = 3 CORRECTING DEFECT 6 (vertices=35, convex hull=55, v0=6096) After retessellation of defect 6 (v0=6096), euler #=-65 (152238,454831,302528) : difference with theory (-62) = 3 CORRECTING DEFECT 7 (vertices=36, convex hull=64, v0=8701) After retessellation of defect 7 (v0=8701), euler #=-64 (152258,454918,302596) : difference with theory (-61) = 3 CORRECTING DEFECT 8 (vertices=47, convex hull=83, v0=10522) After retessellation of defect 8 (v0=10522), euler #=-63 (152273,454997,302661) : difference with theory (-60) = 3 CORRECTING DEFECT 9 (vertices=25, convex hull=61, v0=11292) After retessellation of defect 9 (v0=11292), euler #=-62 (152284,455051,302705) : difference with theory (-59) = 3 CORRECTING DEFECT 10 (vertices=103, convex hull=108, v0=14186) After retessellation of defect 10 (v0=14186), euler #=-61 (152313,455179,302805) : difference with theory (-58) = 3 CORRECTING DEFECT 11 (vertices=67, convex hull=73, v0=26221) After retessellation of defect 11 (v0=26221), euler #=-60 (152336,455279,302883) : difference with theory (-57) = 3 CORRECTING DEFECT 12 (vertices=48, convex hull=87, v0=28991) After retessellation of defect 12 (v0=28991), euler #=-59 (152358,455382,302965) : difference with theory (-56) = 3 CORRECTING DEFECT 13 (vertices=6, convex hull=30, v0=31405) After retessellation of defect 13 (v0=31405), euler #=-58 (152359,455394,302977) : difference with theory (-55) = 3 CORRECTING DEFECT 14 (vertices=19, convex hull=19, v0=39463) After retessellation of defect 14 (v0=39463), euler #=-57 (152362,455408,302989) : difference with theory (-54) = 3 CORRECTING DEFECT 15 (vertices=89, convex hull=87, v0=39755) After retessellation of defect 15 (v0=39755), euler #=-56 (152408,455579,303115) : difference with theory (-53) = 3 CORRECTING DEFECT 16 (vertices=50, convex hull=72, v0=44046) After retessellation of defect 16 (v0=44046), euler #=-55 (152431,455680,303194) : difference with theory (-52) = 3 CORRECTING DEFECT 17 (vertices=18, convex hull=63, v0=45878) After retessellation of defect 17 (v0=45878), euler #=-54 (152441,455733,303238) : difference with theory (-51) = 3 CORRECTING DEFECT 18 (vertices=36, convex hull=66, v0=49281) After retessellation of defect 18 (v0=49281), euler #=-53 (152463,455821,303305) : difference with theory (-50) = 3 CORRECTING DEFECT 19 (vertices=118, convex hull=121, v0=52191) After retessellation of defect 19 (v0=52191), euler #=-52 (152529,456075,303494) : difference with theory (-49) = 3 CORRECTING DEFECT 20 (vertices=123, convex hull=150, v0=53076) After retessellation of defect 20 (v0=53076), euler #=-51 (152574,456277,303652) : difference with theory (-48) = 3 CORRECTING DEFECT 21 (vertices=32, convex hull=56, v0=53770) After retessellation of defect 21 (v0=53770), euler #=-50 (152593,456358,303715) : difference with theory (-47) = 3 CORRECTING DEFECT 22 (vertices=50, convex hull=86, v0=56218) After retessellation of defect 22 (v0=56218), euler #=-49 (152602,456421,303770) : difference with theory (-46) = 3 CORRECTING DEFECT 23 (vertices=9, convex hull=23, v0=60603) After retessellation of defect 23 (v0=60603), euler #=-48 (152606,456440,303786) : difference with theory (-45) = 3 CORRECTING DEFECT 24 (vertices=60, convex hull=158, v0=61726) After retessellation of defect 24 (v0=61726), euler #=-46 (152639,456614,303929) : difference with theory (-44) = 2 CORRECTING DEFECT 25 (vertices=21, convex hull=62, v0=63197) After retessellation of defect 25 (v0=63197), euler #=-45 (152655,456682,303982) : difference with theory (-43) = 2 CORRECTING DEFECT 26 (vertices=60, convex hull=75, v0=70957) After retessellation of defect 26 (v0=70957), euler #=-44 (152664,456736,304028) : difference with theory (-42) = 2 CORRECTING DEFECT 27 (vertices=36, convex hull=53, v0=70975) After retessellation of defect 27 (v0=70975), euler #=-43 (152677,456797,304077) : difference with theory (-41) = 2 CORRECTING DEFECT 28 (vertices=15, convex hull=22, v0=71951) After retessellation of defect 28 (v0=71951), euler #=-42 (152679,456809,304088) : difference with theory (-40) = 2 CORRECTING DEFECT 29 (vertices=18, convex hull=57, v0=74497) After retessellation of defect 29 (v0=74497), euler #=-41 (152686,456851,304124) : difference with theory (-39) = 2 CORRECTING DEFECT 30 (vertices=26, convex hull=52, v0=74650) After retessellation of defect 30 (v0=74650), euler #=-40 (152701,456917,304176) : difference with theory (-38) = 2 CORRECTING DEFECT 31 (vertices=5, convex hull=24, v0=74998) After retessellation of defect 31 (v0=74998), euler #=-39 (152702,456926,304185) : difference with theory (-37) = 2 CORRECTING DEFECT 32 (vertices=24, convex hull=48, v0=76649) After retessellation of defect 32 (v0=76649), euler #=-38 (152712,456971,304221) : difference with theory (-36) = 2 CORRECTING DEFECT 33 (vertices=41, convex hull=91, v0=78995) After retessellation of defect 33 (v0=78995), euler #=-37 (152722,457040,304281) : difference with theory (-35) = 2 CORRECTING DEFECT 34 (vertices=74, convex hull=92, v0=85120) After retessellation of defect 34 (v0=85120), euler #=-37 (152758,457193,304398) : difference with theory (-34) = 3 CORRECTING DEFECT 35 (vertices=27, convex hull=61, v0=89801) After retessellation of defect 35 (v0=89801), euler #=-36 (152773,457263,304454) : difference with theory (-33) = 3 CORRECTING DEFECT 36 (vertices=26, convex hull=60, v0=93730) After retessellation of defect 36 (v0=93730), euler #=-35 (152786,457327,304506) : difference with theory (-32) = 3 CORRECTING DEFECT 37 (vertices=15, convex hull=31, v0=103766) After retessellation of defect 37 (v0=103766), euler #=-34 (152790,457349,304525) : difference with theory (-31) = 3 CORRECTING DEFECT 38 (vertices=159, convex hull=112, v0=104112) After retessellation of defect 38 (v0=104112), euler #=-33 (152832,457523,304658) : difference with theory (-30) = 3 CORRECTING DEFECT 39 (vertices=126, convex hull=147, v0=104889) After retessellation of defect 39 (v0=104889), euler #=-31 (152877,457721,304813) : difference with theory (-29) = 2 CORRECTING DEFECT 40 (vertices=640, convex hull=332, v0=104992) After retessellation of defect 40 (v0=104992), euler #=-29 (152968,458150,305153) : difference with theory (-28) = 1 CORRECTING DEFECT 41 (vertices=29, convex hull=70, v0=105990) After retessellation of defect 41 (v0=105990), euler #=-28 (152983,458225,305214) : difference with theory (-27) = 1 CORRECTING DEFECT 42 (vertices=60, convex hull=91, v0=106296) After retessellation of defect 42 (v0=106296), euler #=-27 (153012,458351,305312) : difference with theory (-26) = 1 CORRECTING DEFECT 43 (vertices=26, convex hull=27, v0=108037) After retessellation of defect 43 (v0=108037), euler #=-26 (153018,458377,305333) : difference with theory (-25) = 1 CORRECTING DEFECT 44 (vertices=30, convex hull=69, v0=112288) After retessellation of defect 44 (v0=112288), euler #=-25 (153032,458446,305389) : difference with theory (-24) = 1 CORRECTING DEFECT 45 (vertices=59, convex hull=71, v0=114616) After retessellation of defect 45 (v0=114616), euler #=-24 (153054,458542,305464) : difference with theory (-23) = 1 CORRECTING DEFECT 46 (vertices=8, convex hull=18, v0=116308) After retessellation of defect 46 (v0=116308), euler #=-23 (153056,458552,305473) : difference with theory (-22) = 1 CORRECTING DEFECT 47 (vertices=162, convex hull=62, v0=116585) After retessellation of defect 47 (v0=116585), euler #=-22 (153061,458597,305514) : difference with theory (-21) = 1 CORRECTING DEFECT 48 (vertices=54, convex hull=85, v0=117855) After retessellation of defect 48 (v0=117855), euler #=-21 (153092,458725,305612) : difference with theory (-20) = 1 CORRECTING DEFECT 49 (vertices=25, convex hull=43, v0=118790) After retessellation of defect 49 (v0=118790), euler #=-20 (153096,458752,305636) : difference with theory (-19) = 1 CORRECTING DEFECT 50 (vertices=23, convex hull=27, v0=120760) After retessellation of defect 50 (v0=120760), euler #=-19 (153099,458767,305649) : difference with theory (-18) = 1 CORRECTING DEFECT 51 (vertices=62, convex hull=81, v0=121260) After retessellation of defect 51 (v0=121260), euler #=-18 (153136,458913,305759) : difference with theory (-17) = 1 CORRECTING DEFECT 52 (vertices=26, convex hull=55, v0=122156) After retessellation of defect 52 (v0=122156), euler #=-17 (153149,458972,305806) : difference with theory (-16) = 1 CORRECTING DEFECT 53 (vertices=60, convex hull=97, v0=124750) After retessellation of defect 53 (v0=124750), euler #=-16 (153175,459096,305905) : difference with theory (-15) = 1 CORRECTING DEFECT 54 (vertices=64, convex hull=119, v0=127020) After retessellation of defect 54 (v0=127020), euler #=-15 (153200,459227,306012) : difference with theory (-14) = 1 CORRECTING DEFECT 55 (vertices=131, convex hull=54, v0=128416) After retessellation of defect 55 (v0=128416), euler #=-14 (153211,459280,306055) : difference with theory (-13) = 1 CORRECTING DEFECT 56 (vertices=29, convex hull=35, v0=131269) After retessellation of defect 56 (v0=131269), euler #=-13 (153216,459308,306079) : difference with theory (-12) = 1 CORRECTING DEFECT 57 (vertices=237, convex hull=46, v0=131526) After retessellation of defect 57 (v0=131526), euler #=-12 (153231,459367,306124) : difference with theory (-11) = 1 CORRECTING DEFECT 58 (vertices=34, convex hull=43, v0=131551) After retessellation of defect 58 (v0=131551), euler #=-11 (153240,459410,306159) : difference with theory (-10) = 1 CORRECTING DEFECT 59 (vertices=33, convex hull=40, v0=132011) After retessellation of defect 59 (v0=132011), euler #=-10 (153244,459439,306185) : difference with theory (-9) = 1 CORRECTING DEFECT 60 (vertices=26, convex hull=20, v0=132092) After retessellation of defect 60 (v0=132092), euler #=-9 (153248,459455,306198) : difference with theory (-8) = 1 CORRECTING DEFECT 61 (vertices=23, convex hull=62, v0=133794) After retessellation of defect 61 (v0=133794), euler #=-8 (153260,459516,306248) : difference with theory (-7) = 1 CORRECTING DEFECT 62 (vertices=40, convex hull=87, v0=138628) After retessellation of defect 62 (v0=138628), euler #=-7 (153275,459595,306313) : difference with theory (-6) = 1 CORRECTING DEFECT 63 (vertices=22, convex hull=33, v0=141729) After retessellation of defect 63 (v0=141729), euler #=-6 (153278,459618,306334) : difference with theory (-5) = 1 CORRECTING DEFECT 64 (vertices=26, convex hull=29, v0=142434) After retessellation of defect 64 (v0=142434), euler #=-5 (153280,459632,306347) : difference with theory (-4) = 1 CORRECTING DEFECT 65 (vertices=51, convex hull=30, v0=143349) After retessellation of defect 65 (v0=143349), euler #=-4 (153285,459655,306366) : difference with theory (-3) = 1 CORRECTING DEFECT 66 (vertices=193, convex hull=159, v0=145118) After retessellation of defect 66 (v0=145118), euler #=-2 (153297,459765,306466) : difference with theory (-2) = 0 CORRECTING DEFECT 67 (vertices=16, convex hull=63, v0=147156) After retessellation of defect 67 (v0=147156), euler #=-1 (153307,459818,306510) : difference with theory (-1) = 0 CORRECTING DEFECT 68 (vertices=45, convex hull=76, v0=148227) After retessellation of defect 68 (v0=148227), euler #=0 (153333,459929,306596) : difference with theory (0) = 0 CORRECTING DEFECT 69 (vertices=33, convex hull=60, v0=150311) After retessellation of defect 69 (v0=150311), euler #=1 (153353,460015,306663) : difference with theory (1) = 0 CORRECTING DEFECT 70 (vertices=53, convex hull=97, v0=155624) After retessellation of defect 70 (v0=155624), euler #=2 (153374,460116,306744) : difference with theory (2) = 0 computing original vertex metric properties... storing new metric properties... computing tessellation statistics... vertex spacing 0.88 +- 0.24 (0.07-->9.29) (max @ vno 140504 --> 145759) face area 0.00 +- 0.00 (0.00-->0.00) performing soap bubble on retessellated vertices for 0 iterations... vertex spacing 0.88 +- 0.24 (0.07-->9.29) (max @ vno 140504 --> 145759) face area 0.00 +- 0.00 (0.00-->0.00) tessellation finished, orienting corrected surface... 233 mutations (33.2%), 469 crossovers (66.8%), 253 vertices were eliminated building final representation... 3096 vertices and 0 faces have been removed from triangulation after topology correction, eno=2 (nv=153374, nf=306744, ne=460116, g=0) writing corrected surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.orig... 0.000 % of the vertices (0 vertices) exhibit an orientation change topology fixing took 54.5 minutes 0 defective edges removing intersecting faces 000: 452 intersecting 001: 29 intersecting 002: 10 intersecting mris_fix_topology utimesec 3266.030487 mris_fix_topology stimesec 0.221966 mris_fix_topology ru_maxrss 482244 mris_fix_topology ru_ixrss 0 mris_fix_topology ru_idrss 0 mris_fix_topology ru_isrss 0 mris_fix_topology ru_minflt 51026 mris_fix_topology ru_majflt 0 mris_fix_topology ru_nswap 0 mris_fix_topology ru_inblock 0 mris_fix_topology ru_oublock 14464 mris_fix_topology ru_msgsnd 0 mris_fix_topology ru_msgrcv 0 mris_fix_topology ru_nsignals 0 mris_fix_topology ru_nvcsw 406 mris_fix_topology ru_nivcsw 4649 FSRUNTIME@ mris_fix_topology lh 0.9076 hours 1 threads @#@FSTIME 2017:01:19:11:13:38 mris_fix_topology N 10 e 3267.31 S 0.22 U 3266.03 P 99% M 482244 F 0 R 51031 W 0 c 4649 w 412 I 0 O 14472 L 4.99 5.03 5.31 @#@FSLOADPOST 2017:01:19:12:08:05 mris_fix_topology N 10 4.00 4.00 4.03 #@# Fix Topology rh Thu Jan 19 12:08:05 EST 2017 mris_fix_topology -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_fix_topology.rh.dat -mgz -sphere qsphere.nofix -ga -seed 1234 004 rh reading spherical homeomorphism from 'qsphere.nofix' using genetic algorithm with optimized parameters setting seed for random number genererator to 1234 ************************************************************* Topology Correction Parameters retessellation mode: genetic search number of patches/generation : 10 number of generations : 10 surface mri loglikelihood coefficient : 1.0 volume mri loglikelihood coefficient : 10.0 normal dot loglikelihood coefficient : 1.0 quadratic curvature loglikelihood coefficient : 1.0 volume resolution : 2 eliminate vertices during search : 1 initial patch selection : 1 select all defect vertices : 0 ordering dependant retessellation: 0 use precomputed edge table : 0 smooth retessellated patch : 2 match retessellated patch : 1 verbose mode : 0 ************************************************************* INFO: assuming .mgz format $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ before topology correction, eno=-116 (nv=155080, nf=310392, ne=465588, g=59) using quasi-homeomorphic spherical map to tessellate cortical surface... Correction of the Topology Finding true center and radius of Spherical Surface...done Surface centered at (0,0,0) with radius 100.0 in 10 iterations marking ambiguous vertices... 6548 ambiguous faces found in tessellation segmenting defects... 74 defects found, arbitrating ambiguous regions... analyzing neighboring defects... -merging segment 24 into 14 -merging segment 67 into 66 72 defects to be corrected 0 vertices coincident reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.qsphere.nofix... reading brain volume from brain... reading wm segmentation from wm... Computing Initial Surface Statistics -face loglikelihood: -9.5649 (-4.7824) -vertex loglikelihood: -6.6207 (-3.3104) -normal dot loglikelihood: -3.5569 (-3.5569) -quad curv loglikelihood: -6.5956 (-3.2978) Total Loglikelihood : -26.3381 CORRECTING DEFECT 0 (vertices=30, convex hull=60, v0=37) After retessellation of defect 0 (v0=37), euler #=-69 (150937,450825,299819) : difference with theory (-69) = 0 CORRECTING DEFECT 1 (vertices=93, convex hull=145, v0=438) After retessellation of defect 1 (v0=438), euler #=-68 (150988,451045,299989) : difference with theory (-68) = 0 CORRECTING DEFECT 2 (vertices=49, convex hull=76, v0=2460) After retessellation of defect 2 (v0=2460), euler #=-67 (151005,451124,300052) : difference with theory (-67) = 0 CORRECTING DEFECT 3 (vertices=120, convex hull=93, v0=3575) After retessellation of defect 3 (v0=3575), euler #=-66 (151033,451255,300156) : difference with theory (-66) = 0 CORRECTING DEFECT 4 (vertices=88, convex hull=100, v0=7629) After retessellation of defect 4 (v0=7629), euler #=-65 (151081,451444,300298) : difference with theory (-65) = 0 CORRECTING DEFECT 5 (vertices=30, convex hull=72, v0=7886) After retessellation of defect 5 (v0=7886), euler #=-64 (151095,451515,300356) : difference with theory (-64) = 0 CORRECTING DEFECT 6 (vertices=64, convex hull=90, v0=8468) After retessellation of defect 6 (v0=8468), euler #=-63 (151130,451660,300467) : difference with theory (-63) = 0 CORRECTING DEFECT 7 (vertices=48, convex hull=69, v0=8898) After retessellation of defect 7 (v0=8898), euler #=-62 (151156,451764,300546) : difference with theory (-62) = 0 CORRECTING DEFECT 8 (vertices=30, convex hull=77, v0=9162) After retessellation of defect 8 (v0=9162), euler #=-61 (151172,451841,300608) : difference with theory (-61) = 0 CORRECTING DEFECT 9 (vertices=18, convex hull=49, v0=9782) After retessellation of defect 9 (v0=9782), euler #=-60 (151182,451888,300646) : difference with theory (-60) = 0 CORRECTING DEFECT 10 (vertices=33, convex hull=26, v0=9893) After retessellation of defect 10 (v0=9893), euler #=-59 (151184,451903,300660) : difference with theory (-59) = 0 CORRECTING DEFECT 11 (vertices=29, convex hull=27, v0=14243) After retessellation of defect 11 (v0=14243), euler #=-58 (151187,451918,300673) : difference with theory (-58) = 0 CORRECTING DEFECT 12 (vertices=20, convex hull=60, v0=15205) After retessellation of defect 12 (v0=15205), euler #=-57 (151199,451972,300716) : difference with theory (-57) = 0 CORRECTING DEFECT 13 (vertices=85, convex hull=135, v0=15628) After retessellation of defect 13 (v0=15628), euler #=-56 (151251,452190,300883) : difference with theory (-56) = 0 CORRECTING DEFECT 14 (vertices=466, convex hull=199, v0=17208) After retessellation of defect 14 (v0=17208), euler #=-55 (151275,452366,301036) : difference with theory (-55) = 0 CORRECTING DEFECT 15 (vertices=58, convex hull=85, v0=19252) After retessellation of defect 15 (v0=19252), euler #=-54 (151303,452489,301132) : difference with theory (-54) = 0 CORRECTING DEFECT 16 (vertices=59, convex hull=84, v0=19817) After retessellation of defect 16 (v0=19817), euler #=-53 (151329,452605,301223) : difference with theory (-53) = 0 CORRECTING DEFECT 17 (vertices=58, convex hull=109, v0=22234) After retessellation of defect 17 (v0=22234), euler #=-52 (151362,452757,301343) : difference with theory (-52) = 0 CORRECTING DEFECT 18 (vertices=9, convex hull=26, v0=22755) After retessellation of defect 18 (v0=22755), euler #=-51 (151364,452769,301354) : difference with theory (-51) = 0 CORRECTING DEFECT 19 (vertices=11, convex hull=20, v0=24669) After retessellation of defect 19 (v0=24669), euler #=-50 (151366,452780,301364) : difference with theory (-50) = 0 CORRECTING DEFECT 20 (vertices=17, convex hull=41, v0=27515) After retessellation of defect 20 (v0=27515), euler #=-49 (151370,452808,301389) : difference with theory (-49) = 0 CORRECTING DEFECT 21 (vertices=76, convex hull=80, v0=29644) After retessellation of defect 21 (v0=29644), euler #=-48 (151387,452892,301457) : difference with theory (-48) = 0 CORRECTING DEFECT 22 (vertices=26, convex hull=64, v0=32035) After retessellation of defect 22 (v0=32035), euler #=-47 (151401,452959,301511) : difference with theory (-47) = 0 CORRECTING DEFECT 23 (vertices=36, convex hull=85, v0=33261) After retessellation of defect 23 (v0=33261), euler #=-46 (151420,453051,301585) : difference with theory (-46) = 0 CORRECTING DEFECT 24 (vertices=44, convex hull=65, v0=42423) After retessellation of defect 24 (v0=42423), euler #=-45 (151442,453147,301660) : difference with theory (-45) = 0 CORRECTING DEFECT 25 (vertices=37, convex hull=62, v0=47145) After retessellation of defect 25 (v0=47145), euler #=-44 (151453,453204,301707) : difference with theory (-44) = 0 CORRECTING DEFECT 26 (vertices=75, convex hull=77, v0=50024) After retessellation of defect 26 (v0=50024), euler #=-43 (151462,453259,301754) : difference with theory (-43) = 0 CORRECTING DEFECT 27 (vertices=40, convex hull=53, v0=52368) After retessellation of defect 27 (v0=52368), euler #=-42 (151482,453340,301816) : difference with theory (-42) = 0 CORRECTING DEFECT 28 (vertices=72, convex hull=92, v0=53117) After retessellation of defect 28 (v0=53117), euler #=-41 (151531,453524,301952) : difference with theory (-41) = 0 CORRECTING DEFECT 29 (vertices=88, convex hull=100, v0=55629) After retessellation of defect 29 (v0=55629), euler #=-40 (151580,453712,302092) : difference with theory (-40) = 0 CORRECTING DEFECT 30 (vertices=38, convex hull=94, v0=61628) After retessellation of defect 30 (v0=61628), euler #=-39 (151592,453789,302158) : difference with theory (-39) = 0 CORRECTING DEFECT 31 (vertices=18, convex hull=26, v0=67511) After retessellation of defect 31 (v0=67511), euler #=-38 (151596,453809,302175) : difference with theory (-38) = 0 CORRECTING DEFECT 32 (vertices=23, convex hull=65, v0=67604) After retessellation of defect 32 (v0=67604), euler #=-37 (151605,453859,302217) : difference with theory (-37) = 0 CORRECTING DEFECT 33 (vertices=73, convex hull=89, v0=71765) After retessellation of defect 33 (v0=71765), euler #=-37 (151619,453949,302293) : difference with theory (-36) = 1 CORRECTING DEFECT 34 (vertices=96, convex hull=114, v0=74410) After retessellation of defect 34 (v0=74410), euler #=-36 (151644,454074,302394) : difference with theory (-35) = 1 CORRECTING DEFECT 35 (vertices=12, convex hull=29, v0=80225) After retessellation of defect 35 (v0=80225), euler #=-35 (151649,454099,302415) : difference with theory (-34) = 1 CORRECTING DEFECT 36 (vertices=17, convex hull=21, v0=81753) After retessellation of defect 36 (v0=81753), euler #=-34 (151650,454107,302423) : difference with theory (-33) = 1 CORRECTING DEFECT 37 (vertices=32, convex hull=57, v0=85337) After retessellation of defect 37 (v0=85337), euler #=-33 (151667,454180,302480) : difference with theory (-32) = 1 CORRECTING DEFECT 38 (vertices=57, convex hull=25, v0=87869) After retessellation of defect 38 (v0=87869), euler #=-32 (151671,454202,302499) : difference with theory (-31) = 1 CORRECTING DEFECT 39 (vertices=27, convex hull=70, v0=88180) After retessellation of defect 39 (v0=88180), euler #=-31 (151687,454275,302557) : difference with theory (-30) = 1 CORRECTING DEFECT 40 (vertices=30, convex hull=53, v0=88811) After retessellation of defect 40 (v0=88811), euler #=-30 (151708,454359,302621) : difference with theory (-29) = 1 CORRECTING DEFECT 41 (vertices=5, convex hull=15, v0=93960) After retessellation of defect 41 (v0=93960), euler #=-29 (151709,454366,302628) : difference with theory (-28) = 1 CORRECTING DEFECT 42 (vertices=6, convex hull=19, v0=95307) After retessellation of defect 42 (v0=95307), euler #=-28 (151710,454375,302637) : difference with theory (-27) = 1 CORRECTING DEFECT 43 (vertices=26, convex hull=60, v0=95782) After retessellation of defect 43 (v0=95782), euler #=-27 (151720,454424,302677) : difference with theory (-26) = 1 CORRECTING DEFECT 44 (vertices=37, convex hull=33, v0=98093) After retessellation of defect 44 (v0=98093), euler #=-26 (151727,454454,302701) : difference with theory (-25) = 1 CORRECTING DEFECT 45 (vertices=32, convex hull=39, v0=98543) After retessellation of defect 45 (v0=98543), euler #=-25 (151738,454504,302741) : difference with theory (-24) = 1 CORRECTING DEFECT 46 (vertices=81, convex hull=98, v0=99397) After retessellation of defect 46 (v0=99397), euler #=-24 (151767,454637,302846) : difference with theory (-23) = 1 CORRECTING DEFECT 47 (vertices=35, convex hull=43, v0=102925) After retessellation of defect 47 (v0=102925), euler #=-23 (151772,454673,302878) : difference with theory (-22) = 1 CORRECTING DEFECT 48 (vertices=153, convex hull=114, v0=104052) After retessellation of defect 48 (v0=104052), euler #=-22 (151793,454790,302975) : difference with theory (-21) = 1 CORRECTING DEFECT 49 (vertices=31, convex hull=65, v0=104421) After retessellation of defect 49 (v0=104421), euler #=-21 (151811,454868,303036) : difference with theory (-20) = 1 CORRECTING DEFECT 50 (vertices=10, convex hull=17, v0=105214) After retessellation of defect 50 (v0=105214), euler #=-20 (151814,454881,303047) : difference with theory (-19) = 1 CORRECTING DEFECT 51 (vertices=6, convex hull=19, v0=105326) After retessellation of defect 51 (v0=105326), euler #=-19 (151815,454889,303055) : difference with theory (-18) = 1 CORRECTING DEFECT 52 (vertices=42, convex hull=78, v0=105754) After retessellation of defect 52 (v0=105754), euler #=-18 (151838,454992,303136) : difference with theory (-17) = 1 CORRECTING DEFECT 53 (vertices=174, convex hull=129, v0=110171) After retessellation of defect 53 (v0=110171), euler #=-17 (151856,455101,303228) : difference with theory (-16) = 1 CORRECTING DEFECT 54 (vertices=8, convex hull=31, v0=110910) After retessellation of defect 54 (v0=110910), euler #=-16 (151857,455112,303239) : difference with theory (-15) = 1 CORRECTING DEFECT 55 (vertices=160, convex hull=61, v0=110946) After retessellation of defect 55 (v0=110946), euler #=-15 (151867,455170,303288) : difference with theory (-14) = 1 CORRECTING DEFECT 56 (vertices=15, convex hull=25, v0=111750) After retessellation of defect 56 (v0=111750), euler #=-14 (151869,455185,303302) : difference with theory (-13) = 1 CORRECTING DEFECT 57 (vertices=36, convex hull=74, v0=112788) After retessellation of defect 57 (v0=112788), euler #=-13 (151890,455275,303372) : difference with theory (-12) = 1 CORRECTING DEFECT 58 (vertices=145, convex hull=67, v0=115687) After retessellation of defect 58 (v0=115687), euler #=-12 (151916,455379,303451) : difference with theory (-11) = 1 CORRECTING DEFECT 59 (vertices=21, convex hull=49, v0=119498) After retessellation of defect 59 (v0=119498), euler #=-11 (151925,455424,303488) : difference with theory (-10) = 1 CORRECTING DEFECT 60 (vertices=74, convex hull=77, v0=119737) After retessellation of defect 60 (v0=119737), euler #=-10 (151933,455482,303539) : difference with theory (-9) = 1 CORRECTING DEFECT 61 (vertices=44, convex hull=71, v0=125389) After retessellation of defect 61 (v0=125389), euler #=-9 (151942,455541,303590) : difference with theory (-8) = 1 CORRECTING DEFECT 62 (vertices=182, convex hull=70, v0=126092) After retessellation of defect 62 (v0=126092), euler #=-8 (151963,455638,303667) : difference with theory (-7) = 1 CORRECTING DEFECT 63 (vertices=16, convex hull=24, v0=129274) After retessellation of defect 63 (v0=129274), euler #=-7 (151966,455655,303682) : difference with theory (-6) = 1 CORRECTING DEFECT 64 (vertices=62, convex hull=93, v0=130316) After retessellation of defect 64 (v0=130316), euler #=-6 (151993,455780,303781) : difference with theory (-5) = 1 CORRECTING DEFECT 65 (vertices=223, convex hull=166, v0=134112) After retessellation of defect 65 (v0=134112), euler #=-4 (152045,456015,303966) : difference with theory (-4) = 0 CORRECTING DEFECT 66 (vertices=24, convex hull=33, v0=135244) After retessellation of defect 66 (v0=135244), euler #=-3 (152048,456034,303983) : difference with theory (-3) = 0 CORRECTING DEFECT 67 (vertices=37, convex hull=59, v0=142174) After retessellation of defect 67 (v0=142174), euler #=-2 (152058,456091,304031) : difference with theory (-2) = 0 CORRECTING DEFECT 68 (vertices=27, convex hull=37, v0=142659) After retessellation of defect 68 (v0=142659), euler #=-1 (152066,456126,304059) : difference with theory (-1) = 0 CORRECTING DEFECT 69 (vertices=63, convex hull=88, v0=143840) After retessellation of defect 69 (v0=143840), euler #=0 (152092,456240,304148) : difference with theory (0) = 0 CORRECTING DEFECT 70 (vertices=8, convex hull=18, v0=152517) After retessellation of defect 70 (v0=152517), euler #=1 (152093,456248,304156) : difference with theory (1) = 0 CORRECTING DEFECT 71 (vertices=33, convex hull=65, v0=152616) After retessellation of defect 71 (v0=152616), euler #=2 (152106,456312,304208) : difference with theory (2) = 0 computing original vertex metric properties... storing new metric properties... computing tessellation statistics... vertex spacing 0.88 +- 0.24 (0.10-->10.79) (max @ vno 106356 --> 115599) face area 0.00 +- 0.00 (0.00-->0.00) performing soap bubble on retessellated vertices for 0 iterations... vertex spacing 0.88 +- 0.24 (0.10-->10.79) (max @ vno 106356 --> 115599) face area 0.00 +- 0.00 (0.00-->0.00) tessellation finished, orienting corrected surface... 237 mutations (34.5%), 450 crossovers (65.5%), 216 vertices were eliminated building final representation... 2974 vertices and 0 faces have been removed from triangulation after topology correction, eno=2 (nv=152106, nf=304208, ne=456312, g=0) writing corrected surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.orig... 0.000 % of the vertices (0 vertices) exhibit an orientation change topology fixing took 49.5 minutes 0 defective edges removing intersecting faces 000: 373 intersecting 001: 25 intersecting mris_fix_topology utimesec 2969.643545 mris_fix_topology stimesec 0.240963 mris_fix_topology ru_maxrss 481468 mris_fix_topology ru_ixrss 0 mris_fix_topology ru_idrss 0 mris_fix_topology ru_isrss 0 mris_fix_topology ru_minflt 51369 mris_fix_topology ru_majflt 0 mris_fix_topology ru_nswap 0 mris_fix_topology ru_inblock 0 mris_fix_topology ru_oublock 14344 mris_fix_topology ru_msgsnd 0 mris_fix_topology ru_msgrcv 0 mris_fix_topology ru_nsignals 0 mris_fix_topology ru_nvcsw 410 mris_fix_topology ru_nivcsw 4888 FSRUNTIME@ mris_fix_topology rh 0.8252 hours 1 threads @#@FSTIME 2017:01:19:12:08:05 mris_fix_topology N 10 e 2970.88 S 0.24 U 2969.64 P 99% M 481468 F 0 R 51374 W 0 c 4888 w 417 I 0 O 14352 L 4.00 4.00 4.03 @#@FSLOADPOST 2017:01:19:12:57:36 mris_fix_topology N 10 4.00 4.00 4.00 mris_euler_number ../surf/lh.orig euler # = v-e+f = 2g-2: 153374 - 460116 + 306744 = 2 --> 0 holes F =2V-4: 306744 = 306748-4 (0) 2E=3F: 920232 = 920232 (0) total defect index = 0 mris_euler_number ../surf/rh.orig euler # = v-e+f = 2g-2: 152106 - 456312 + 304208 = 2 --> 0 holes F =2V-4: 304208 = 304212-4 (0) 2E=3F: 912624 = 912624 (0) total defect index = 0 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_remove_intersection ../surf/lh.orig ../surf/lh.orig intersection removal took 0.00 hours removing intersecting faces 000: 32 intersecting writing corrected surface to ../surf/lh.orig @#@FSTIME 2017:01:19:12:57:41 mris_remove_intersection N 2 e 4.26 S 0.17 U 3.95 P 96% M 239144 F 0 R 41282 W 0 c 197 w 255 I 0 O 10792 L 4.00 4.00 4.00 @#@FSLOADPOST 2017:01:19:12:57:45 mris_remove_intersection N 2 4.00 4.00 4.00 rm ../surf/lh.inflated /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_remove_intersection ../surf/rh.orig ../surf/rh.orig intersection removal took 0.00 hours removing intersecting faces 000: 25 intersecting 001: 6 intersecting writing corrected surface to ../surf/rh.orig @#@FSTIME 2017:01:19:12:57:45 mris_remove_intersection N 2 e 5.33 S 0.22 U 4.97 P 97% M 236768 F 0 R 55752 W 0 c 204 w 254 I 0 O 10704 L 4.00 4.00 4.00 @#@FSLOADPOST 2017:01:19:12:57:51 mris_remove_intersection N 2 4.00 4.00 4.00 rm ../surf/rh.inflated #-------------------------------------------- #@# Make White Surf lh Thu Jan 19 12:57:51 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_make_surfaces -aseg ../mri/aseg.presurf -white white.preaparc -noaparc -whiteonly -mgz -T1 brain.finalsurfs 004 lh using white.preaparc as white matter name... only generating white matter surface using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline not using aparc to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... 26531 bright wm thresholded. 5112 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.orig... computing class statistics... border white: 279852 voxels (1.67%) border gray 327594 voxels (1.95%) WM (96.0): 96.2 +- 9.5 [70.0 --> 110.0] GM (67.0) : 66.3 +- 11.0 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 51.0 (was 70) setting MAX_BORDER_WHITE to 110.5 (was 105) setting MIN_BORDER_WHITE to 62.0 (was 85) setting MAX_CSF to 40.0 (was 40) setting MAX_GRAY to 91.5 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 51.0 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 29.0 (was 40) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.81 +- 0.23 (0.01-->5.60) (max @ vno 140504 --> 145759) face area 0.27 +- 0.13 (0.00-->2.66) mean absolute distance = 0.80 +- 0.99 3698 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=101+-8.7, GM=62+-7.8 mean inside = 90.1, mean outside = 69.5 smoothing surface for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 4 vertex label from ripped group mean border=74.2, 227 (227) missing vertices, mean dist 0.3 [0.8 (%32.0)->0.8 (%68.0))] %52 local maxima, %42 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 0 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.92 +- 0.27 (0.06-->4.84) (max @ vno 140504 --> 145759) face area 0.27 +- 0.13 (0.00-->2.98) mean absolute distance = 0.39 +- 0.68 4045 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=4989457.5, rms=12.267 001: dt: 0.5000, sse=2908288.8, rms=8.947 (27.070%) 002: dt: 0.5000, sse=1930083.0, rms=6.814 (23.833%) 003: dt: 0.5000, sse=1430779.6, rms=5.418 (20.495%) 004: dt: 0.5000, sse=1190661.1, rms=4.584 (15.397%) 005: dt: 0.5000, sse=1097410.6, rms=4.173 (8.951%) 006: dt: 0.5000, sse=1044710.0, rms=3.972 (4.822%) 007: dt: 0.5000, sse=1034861.1, rms=3.890 (2.060%) 008: dt: 0.5000, sse=1020890.5, rms=3.830 (1.544%) rms = 3.81, time step reduction 1 of 3 to 0.250... 009: dt: 0.5000, sse=1017582.6, rms=3.815 (0.409%) 010: dt: 0.2500, sse=794208.9, rms=2.575 (32.489%) 011: dt: 0.2500, sse=743461.1, rms=2.208 (14.255%) 012: dt: 0.2500, sse=731944.9, rms=2.120 (3.993%) 013: dt: 0.2500, sse=723746.2, rms=2.055 (3.044%) rms = 2.03, time step reduction 2 of 3 to 0.125... 014: dt: 0.2500, sse=721741.1, rms=2.032 (1.161%) 015: dt: 0.1250, sse=710694.3, rms=1.931 (4.972%) rms = 1.92, time step reduction 3 of 3 to 0.062... 016: dt: 0.1250, sse=709582.8, rms=1.919 (0.610%) positioning took 2.0 minutes inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 1 vertex label from ripped group removing 4 vertex label from ripped group mean border=77.7, 198 (78) missing vertices, mean dist -0.2 [0.5 (%70.5)->0.2 (%29.5))] %66 local maxima, %29 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.91 +- 0.26 (0.09-->4.72) (max @ vno 140504 --> 145759) face area 0.35 +- 0.17 (0.00-->3.90) mean absolute distance = 0.29 +- 0.44 3222 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1523270.4, rms=5.065 017: dt: 0.5000, sse=1156840.5, rms=3.539 (30.133%) rms = 3.75, time step reduction 1 of 3 to 0.250... 018: dt: 0.2500, sse=990220.3, rms=2.701 (23.675%) 019: dt: 0.2500, sse=914815.2, rms=2.168 (19.756%) 020: dt: 0.2500, sse=885922.8, rms=1.918 (11.497%) 021: dt: 0.2500, sse=873790.4, rms=1.814 (5.440%) 022: dt: 0.2500, sse=867467.8, rms=1.753 (3.339%) rms = 1.71, time step reduction 2 of 3 to 0.125... 023: dt: 0.2500, sse=863005.2, rms=1.714 (2.260%) 024: dt: 0.1250, sse=854081.8, rms=1.626 (5.116%) rms = 1.62, time step reduction 3 of 3 to 0.062... 025: dt: 0.1250, sse=853244.2, rms=1.615 (0.658%) positioning took 1.2 minutes inhibiting deformation at non-cortical midline structures... removing 1 vertex label from ripped group removing 1 vertex label from ripped group removing 2 vertex label from ripped group mean border=80.7, 179 (66) missing vertices, mean dist -0.2 [0.3 (%70.1)->0.2 (%29.9))] %79 local maxima, %15 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.90 +- 0.26 (0.06-->4.56) (max @ vno 140504 --> 145759) face area 0.34 +- 0.17 (0.00-->3.45) mean absolute distance = 0.24 +- 0.35 3480 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1188859.9, rms=3.871 026: dt: 0.5000, sse=1075460.8, rms=3.270 (15.513%) rms = 3.57, time step reduction 1 of 3 to 0.250... 027: dt: 0.2500, sse=899691.8, rms=2.197 (32.831%) 028: dt: 0.2500, sse=845041.8, rms=1.735 (21.011%) 029: dt: 0.2500, sse=829219.1, rms=1.571 (9.477%) rms = 1.55, time step reduction 2 of 3 to 0.125... 030: dt: 0.2500, sse=827517.6, rms=1.553 (1.124%) 031: dt: 0.1250, sse=814295.6, rms=1.429 (7.968%) rms = 1.42, time step reduction 3 of 3 to 0.062... 032: dt: 0.1250, sse=813575.3, rms=1.424 (0.387%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... removing 1 vertex label from ripped group removing 4 vertex label from ripped group removing 2 vertex label from ripped group removing 2 vertex label from ripped group removing 2 vertex label from ripped group mean border=81.9, 198 (61) missing vertices, mean dist -0.1 [0.3 (%57.4)->0.2 (%42.6))] %84 local maxima, %10 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white.preaparc... writing smoothed curvature to lh.curv 000: dt: 0.0000, sse=860288.6, rms=2.027 rms = 2.42, time step reduction 1 of 3 to 0.250... 033: dt: 0.2500, sse=793722.7, rms=1.349 (33.437%) 034: dt: 0.2500, sse=775437.0, rms=1.045 (22.570%) rms = 1.07, time step reduction 2 of 3 to 0.125... rms = 1.04, time step reduction 3 of 3 to 0.062... 035: dt: 0.1250, sse=772234.6, rms=1.037 (0.758%) positioning took 0.6 minutes generating cortex label... 15 non-cortical segments detected only using segment with 9207 vertices erasing segment 0 (vno[0] = 36732) erasing segment 2 (vno[0] = 55978) erasing segment 3 (vno[0] = 62081) erasing segment 4 (vno[0] = 89202) erasing segment 5 (vno[0] = 94489) erasing segment 6 (vno[0] = 100980) erasing segment 7 (vno[0] = 107350) erasing segment 8 (vno[0] = 108274) erasing segment 9 (vno[0] = 109124) erasing segment 10 (vno[0] = 110859) erasing segment 11 (vno[0] = 115755) erasing segment 12 (vno[0] = 121399) erasing segment 13 (vno[0] = 122178) erasing segment 14 (vno[0] = 122192) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.curv writing smoothed area to lh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.area vertex spacing 0.90 +- 0.26 (0.03-->4.57) (max @ vno 140504 --> 145759) face area 0.34 +- 0.17 (0.00-->3.25) refinement took 6.9 minutes @#@FSTIME 2017:01:19:12:57:51 mris_make_surfaces N 11 e 414.79 S 3.11 U 411.04 P 99% M 536772 F 0 R 1040738 W 0 c 960 w 690 I 0 O 25736 L 4.00 4.00 4.00 @#@FSLOADPOST 2017:01:19:13:04:46 mris_make_surfaces N 11 4.09 4.03 4.01 #-------------------------------------------- #@# Make White Surf rh Thu Jan 19 13:04:46 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_make_surfaces -aseg ../mri/aseg.presurf -white white.preaparc -noaparc -whiteonly -mgz -T1 brain.finalsurfs 004 rh using white.preaparc as white matter name... only generating white matter surface using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline not using aparc to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... 26531 bright wm thresholded. 5112 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.orig... computing class statistics... border white: 279852 voxels (1.67%) border gray 327594 voxels (1.95%) WM (96.0): 96.2 +- 9.5 [70.0 --> 110.0] GM (67.0) : 66.3 +- 11.0 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 52.0 (was 70) setting MAX_BORDER_WHITE to 110.5 (was 105) setting MIN_BORDER_WHITE to 63.0 (was 85) setting MAX_CSF to 41.0 (was 40) setting MAX_GRAY to 91.5 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 52.0 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 30.0 (was 40) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.81 +- 0.23 (0.01-->4.14) (max @ vno 106355 --> 115598) face area 0.27 +- 0.13 (0.00-->2.65) mean absolute distance = 0.78 +- 0.96 3653 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=101+-8.7, GM=63+-7.8 mean inside = 90.1, mean outside = 69.7 smoothing surface for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 2 vertex label from ripped group removing 3 vertex label from ripped group mean border=74.7, 166 (166) missing vertices, mean dist 0.3 [0.7 (%32.5)->0.8 (%67.5))] %53 local maxima, %41 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 1 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.92 +- 0.27 (0.11-->3.80) (max @ vno 106355 --> 115598) face area 0.27 +- 0.13 (0.00-->2.31) mean absolute distance = 0.37 +- 0.64 3425 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=4716046.0, rms=11.924 001: dt: 0.5000, sse=2728222.0, rms=8.628 (27.641%) 002: dt: 0.5000, sse=1837419.1, rms=6.617 (23.315%) 003: dt: 0.5000, sse=1390266.4, rms=5.325 (19.517%) 004: dt: 0.5000, sse=1177875.2, rms=4.581 (13.974%) 005: dt: 0.5000, sse=1080597.5, rms=4.188 (8.588%) 006: dt: 0.5000, sse=1042494.6, rms=4.013 (4.167%) 007: dt: 0.5000, sse=1019862.6, rms=3.924 (2.232%) rms = 3.88, time step reduction 1 of 3 to 0.250... 008: dt: 0.5000, sse=1015279.4, rms=3.880 (1.117%) 009: dt: 0.2500, sse=796665.9, rms=2.665 (31.319%) 010: dt: 0.2500, sse=743632.4, rms=2.293 (13.961%) 011: dt: 0.2500, sse=733636.1, rms=2.205 (3.807%) 012: dt: 0.2500, sse=726244.1, rms=2.140 (2.974%) rms = 2.12, time step reduction 2 of 3 to 0.125... 013: dt: 0.2500, sse=723874.3, rms=2.117 (1.080%) 014: dt: 0.1250, sse=711499.1, rms=2.012 (4.952%) rms = 2.00, time step reduction 3 of 3 to 0.062... 015: dt: 0.1250, sse=710115.2, rms=1.999 (0.645%) positioning took 1.9 minutes inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 2 vertex label from ripped group removing 1 vertex label from ripped group removing 2 vertex label from ripped group removing 4 vertex label from ripped group mean border=78.2, 165 (61) missing vertices, mean dist -0.2 [0.4 (%70.7)->0.2 (%29.3))] %66 local maxima, %28 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.91 +- 0.26 (0.08-->3.82) (max @ vno 93457 --> 92283) face area 0.35 +- 0.17 (0.00-->3.10) mean absolute distance = 0.28 +- 0.42 3520 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1478001.4, rms=4.971 016: dt: 0.5000, sse=1099080.8, rms=3.397 (31.666%) rms = 3.69, time step reduction 1 of 3 to 0.250... 017: dt: 0.2500, sse=950592.3, rms=2.533 (25.418%) 018: dt: 0.2500, sse=885545.4, rms=2.045 (19.287%) 019: dt: 0.2500, sse=861280.8, rms=1.835 (10.265%) 020: dt: 0.2500, sse=854906.0, rms=1.772 (3.435%) rms = 1.74, time step reduction 2 of 3 to 0.125... 021: dt: 0.2500, sse=852099.3, rms=1.740 (1.818%) 022: dt: 0.1250, sse=843205.4, rms=1.642 (5.580%) rms = 1.63, time step reduction 3 of 3 to 0.062... 023: dt: 0.1250, sse=841629.3, rms=1.635 (0.462%) positioning took 1.0 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group removing 1 vertex label from ripped group removing 4 vertex label from ripped group mean border=81.0, 165 (36) missing vertices, mean dist -0.2 [0.3 (%69.1)->0.2 (%30.9))] %79 local maxima, %16 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.90 +- 0.26 (0.09-->3.88) (max @ vno 93457 --> 92283) face area 0.34 +- 0.17 (0.00-->3.02) mean absolute distance = 0.24 +- 0.35 3240 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1136299.0, rms=3.680 024: dt: 0.5000, sse=1063464.2, rms=3.240 (11.952%) rms = 3.58, time step reduction 1 of 3 to 0.250... 025: dt: 0.2500, sse=886804.8, rms=2.167 (33.114%) 026: dt: 0.2500, sse=833258.5, rms=1.716 (20.816%) 027: dt: 0.2500, sse=818527.1, rms=1.575 (8.233%) rms = 1.57, time step reduction 2 of 3 to 0.125... 028: dt: 0.2500, sse=817546.3, rms=1.568 (0.445%) 029: dt: 0.1250, sse=807029.4, rms=1.445 (7.827%) rms = 1.44, time step reduction 3 of 3 to 0.062... 030: dt: 0.1250, sse=806414.8, rms=1.440 (0.326%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group removing 2 vertex label from ripped group removing 1 vertex label from ripped group mean border=82.2, 145 (24) missing vertices, mean dist -0.1 [0.3 (%56.6)->0.2 (%43.4))] %84 local maxima, %10 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white.preaparc... writing smoothed curvature to rh.curv 000: dt: 0.0000, sse=845888.9, rms=1.974 rms = 2.38, time step reduction 1 of 3 to 0.250... 031: dt: 0.2500, sse=783307.9, rms=1.317 (33.296%) 032: dt: 0.2500, sse=782129.7, rms=1.049 (20.296%) rms = 1.08, time step reduction 2 of 3 to 0.125... rms = 1.05, time step reduction 3 of 3 to 0.062... 033: dt: 0.1250, sse=763956.8, rms=1.045 (0.387%) positioning took 0.5 minutes generating cortex label... 9 non-cortical segments detected only using segment with 9199 vertices erasing segment 1 (vno[0] = 54986) erasing segment 2 (vno[0] = 82749) erasing segment 3 (vno[0] = 103811) erasing segment 4 (vno[0] = 106130) erasing segment 5 (vno[0] = 108041) erasing segment 6 (vno[0] = 108188) erasing segment 7 (vno[0] = 111737) erasing segment 8 (vno[0] = 118748) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.curv writing smoothed area to rh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.area vertex spacing 0.90 +- 0.26 (0.05-->3.83) (max @ vno 92283 --> 93457) face area 0.34 +- 0.16 (0.00-->3.19) refinement took 6.5 minutes @#@FSTIME 2017:01:19:13:04:46 mris_make_surfaces N 11 e 389.31 S 2.77 U 385.73 P 99% M 531660 F 0 R 981920 W 0 c 2403 w 581 I 0 O 25224 L 4.09 4.03 4.01 @#@FSLOADPOST 2017:01:19:13:11:15 mris_make_surfaces N 11 4.99 4.66 4.28 #-------------------------------------------- #@# Smooth2 lh Thu Jan 19 13:11:15 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_smooth -n 3 -nw -seed 1234 ../surf/lh.white.preaparc ../surf/lh.smoothwm smoothing for 3 iterations setting seed for random number generator to 1234 smoothing surface tessellation for 3 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:13:11:15 mris_smooth N 7 e 7.89 S 0.13 U 7.24 P 93% M 196932 F 0 R 25340 W 0 c 264 w 196 I 0 O 10792 L 4.99 4.66 4.28 @#@FSLOADPOST 2017:01:19:13:11:23 mris_smooth N 7 4.99 4.67 4.29 #-------------------------------------------- #@# Smooth2 rh Thu Jan 19 13:11:23 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_smooth -n 3 -nw -seed 1234 ../surf/rh.white.preaparc ../surf/rh.smoothwm smoothing for 3 iterations setting seed for random number generator to 1234 smoothing surface tessellation for 3 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:13:11:23 mris_smooth N 7 e 7.98 S 0.13 U 7.40 P 94% M 195268 F 0 R 25435 W 0 c 324 w 195 I 0 O 10704 L 4.99 4.67 4.29 @#@FSLOADPOST 2017:01:19:13:11:31 mris_smooth N 7 4.99 4.68 4.29 #-------------------------------------------- #@# Inflation2 lh Thu Jan 19 13:11:31 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_inflate -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_inflate.lh.dat ../surf/lh.smoothwm ../surf/lh.inflated Reading ../surf/lh.smoothwm avg radius = 50.7 mm, total surface area = 93059 mm^2 writing inflated surface to ../surf/lh.inflated writing sulcal depths to ../surf/lh.sulc step 000: RMS=0.184 (target=0.015) step 005: RMS=0.128 (target=0.015) step 010: RMS=0.095 (target=0.015) step 015: RMS=0.078 (target=0.015) step 020: RMS=0.064 (target=0.015) step 025: RMS=0.053 (target=0.015) step 030: RMS=0.044 (target=0.015) step 035: RMS=0.038 (target=0.015) step 040: RMS=0.033 (target=0.015) step 045: RMS=0.029 (target=0.015) step 050: RMS=0.026 (target=0.015) step 055: RMS=0.024 (target=0.015) step 060: RMS=0.022 (target=0.015) inflation complete. inflation took 1.1 minutes mris_inflate utimesec 64.306223 mris_inflate stimesec 0.108983 mris_inflate ru_maxrss 196976 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 25358 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 11992 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 221 mris_inflate ru_nivcsw 612 @#@FSTIME 2017:01:19:13:11:32 mris_inflate N 4 e 64.86 S 0.13 U 64.30 P 99% M 196976 F 0 R 25362 W 0 c 614 w 231 I 0 O 12000 L 4.99 4.68 4.29 @#@FSLOADPOST 2017:01:19:13:12:37 mris_inflate N 4 4.95 4.72 4.33 #-------------------------------------------- #@# Inflation2 rh Thu Jan 19 13:12:37 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_inflate -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_inflate.rh.dat ../surf/rh.smoothwm ../surf/rh.inflated Reading ../surf/rh.smoothwm avg radius = 49.5 mm, total surface area = 91788 mm^2 writing inflated surface to ../surf/rh.inflated writing sulcal depths to ../surf/rh.sulc step 000: RMS=0.187 (target=0.015) step 005: RMS=0.130 (target=0.015) step 010: RMS=0.096 (target=0.015) step 015: RMS=0.078 (target=0.015) step 020: RMS=0.065 (target=0.015) step 025: RMS=0.054 (target=0.015) step 030: RMS=0.045 (target=0.015) step 035: RMS=0.038 (target=0.015) step 040: RMS=0.033 (target=0.015) step 045: RMS=0.029 (target=0.015) step 050: RMS=0.026 (target=0.015) step 055: RMS=0.024 (target=0.015) step 060: RMS=0.023 (target=0.015) inflation complete. inflation took 1.1 minutes mris_inflate utimesec 64.529190 mris_inflate stimesec 0.109983 mris_inflate ru_maxrss 195320 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 25454 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 11896 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 227 mris_inflate ru_nivcsw 338 @#@FSTIME 2017:01:19:13:12:37 mris_inflate N 4 e 65.03 S 0.12 U 64.53 P 99% M 195320 F 0 R 25458 W 0 c 343 w 237 I 0 O 11904 L 4.95 4.72 4.33 @#@FSLOADPOST 2017:01:19:13:13:42 mris_inflate N 4 5.72 5.00 4.45 #-------------------------------------------- #@# Curv .H and .K lh Thu Jan 19 13:13:42 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf mris_curvature -w lh.white.preaparc total integrated curvature = 3.391*4pi (42.611) --> -2 handles ICI = 211.1, FI = 2055.0, variation=32920.841 writing Gaussian curvature to ./lh.white.preaparc.K...done. writing mean curvature to ./lh.white.preaparc.H...done. @#@FSTIME 2017:01:19:13:13:42 mris_curvature N 2 e 4.71 S 0.11 U 4.45 P 97% M 196616 F 0 R 25241 W 0 c 289 w 67 I 0 O 2400 L 5.72 5.00 4.45 @#@FSLOADPOST 2017:01:19:13:13:47 mris_curvature N 2 5.74 5.02 4.46 rm -f lh.white.H ln -s lh.white.preaparc.H lh.white.H rm -f lh.white.K ln -s lh.white.preaparc.K lh.white.K mris_curvature -thresh .999 -n -a 5 -w -distances 10 10 lh.inflated normalizing curvature values. averaging curvature patterns 5 times. sampling 10 neighbors out to a distance of 10 mm 205 vertices thresholded to be in k1 ~ [-0.26 1.51], k2 ~ [-0.16 0.07] total integrated curvature = 0.461*4pi (5.787) --> 1 handles ICI = 1.5, FI = 10.0, variation=168.831 119 vertices thresholded to be in [-0.02 0.03] writing Gaussian curvature to ./lh.inflated.K...thresholding curvature at 99.90% level curvature mean = 0.000, std = 0.001 141 vertices thresholded to be in [-0.16 0.33] done. writing mean curvature to ./lh.inflated.H...curvature mean = -0.016, std = 0.022 done. @#@FSTIME 2017:01:19:13:13:47 mris_curvature N 10 e 105.96 S 0.49 U 104.80 P 99% M 379700 F 0 R 70502 W 0 c 11950 w 61 I 0 O 2400 L 5.74 5.02 4.46 @#@FSLOADPOST 2017:01:19:13:15:33 mris_curvature N 10 5.95 5.30 4.62 #-------------------------------------------- #@# Curv .H and .K rh Thu Jan 19 13:15:33 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf mris_curvature -w rh.white.preaparc total integrated curvature = 0.873*4pi (10.971) --> 0 handles ICI = 216.1, FI = 2113.6, variation=33864.728 writing Gaussian curvature to ./rh.white.preaparc.K...done. writing mean curvature to ./rh.white.preaparc.H...done. @#@FSTIME 2017:01:19:13:15:33 mris_curvature N 2 e 4.55 S 0.14 U 4.27 P 97% M 194992 F 0 R 24835 W 0 c 308 w 66 I 0 O 2384 L 5.95 5.30 4.62 @#@FSLOADPOST 2017:01:19:13:15:37 mris_curvature N 2 5.96 5.31 4.63 rm -f rh.white.H ln -s rh.white.preaparc.H rh.white.H rm -f rh.white.K ln -s rh.white.preaparc.K rh.white.K mris_curvature -thresh .999 -n -a 5 -w -distances 10 10 rh.inflated normalizing curvature values. averaging curvature patterns 5 times. sampling 10 neighbors out to a distance of 10 mm 178 vertices thresholded to be in k1 ~ [-0.29 0.62], k2 ~ [-0.13 0.08] total integrated curvature = 0.525*4pi (6.602) --> 0 handles ICI = 1.4, FI = 9.7, variation=161.443 160 vertices thresholded to be in [-0.03 0.01] writing Gaussian curvature to ./rh.inflated.K...thresholding curvature at 99.90% level curvature mean = 0.000, std = 0.001 142 vertices thresholded to be in [-0.13 0.28] done. writing mean curvature to ./rh.inflated.H...curvature mean = -0.016, std = 0.022 done. @#@FSTIME 2017:01:19:13:15:38 mris_curvature N 10 e 106.85 S 0.46 U 105.90 P 99% M 376568 F 0 R 70229 W 0 c 10091 w 62 I 0 O 2384 L 5.96 5.31 4.63 @#@FSLOADPOST 2017:01:19:13:17:25 mris_curvature N 10 5.99 5.52 4.78 #----------------------------------------- #@# Curvature Stats lh Thu Jan 19 13:17:25 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf mris_curvature_stats -m --writeCurvatureFiles -G -o ../stats/lh.curv.stats -F smoothwm 004 lh curv sulc Toggling save flag on curvature files [ ok ] Outputting results using filestem [ ../stats/lh.curv.stats ] Toggling save flag on curvature files [ ok ] Setting surface [ 004/lh.smoothwm ] Reading surface... [ ok ] Setting texture [ curv ] Reading texture... [ ok ] Setting texture [ sulc ] Reading texture...Gb_filter = 0 [ ok ] Calculating Discrete Principal Curvatures... Determining geometric order for vertex faces... [####################] [ ok ] Determining KH curvatures... [####################] [ ok ] Determining k1k2 curvatures... [####################] [ ok ] deltaViolations [ 300 ] Gb_filter = 0 WARN: S lookup min: -0.347975 WARN: S explicit min: 0.000000 vertex = 844 @#@FSTIME 2017:01:19:13:17:25 mris_curvature_stats N 11 e 6.46 S 0.11 U 5.75 P 90% M 196984 F 0 R 25415 W 0 c 1187 w 235 I 0 O 9640 L 5.99 5.52 4.78 @#@FSLOADPOST 2017:01:19:13:17:31 mris_curvature_stats N 11 5.99 5.53 4.78 #----------------------------------------- #@# Curvature Stats rh Thu Jan 19 13:17:31 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf mris_curvature_stats -m --writeCurvatureFiles -G -o ../stats/rh.curv.stats -F smoothwm 004 rh curv sulc Toggling save flag on curvature files [ ok ] Outputting results using filestem [ ../stats/rh.curv.stats ] Toggling save flag on curvature files [ ok ] Setting surface [ 004/rh.smoothwm ] Reading surface... [ ok ] Setting texture [ curv ] Reading texture... [ ok ] Setting texture [ sulc ] Reading texture...Gb_filter = 0 [ ok ] Calculating Discrete Principal Curvatures... Determining geometric order for vertex faces... [####################] [ ok ] Determining KH curvatures... [####################] [ ok ] Determining k1k2 curvatures... [####################] [ ok ] deltaViolations [ 297 ] Gb_filter = 0 WARN: S lookup min: -0.327829 WARN: S explicit min: 0.000000 vertex = 183 @#@FSTIME 2017:01:19:13:17:31 mris_curvature_stats N 11 e 6.47 S 0.14 U 5.88 P 93% M 195344 F 0 R 25005 W 0 c 404 w 224 I 0 O 9576 L 5.99 5.53 4.78 @#@FSLOADPOST 2017:01:19:13:17:38 mris_curvature_stats N 11 5.99 5.54 4.79 #-------------------------------------------- #@# Sphere lh Thu Jan 19 13:17:38 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_sphere -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_sphere.lh.dat -seed 1234 ../surf/lh.inflated ../surf/lh.sphere setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.269... MRISunfold() max_passes = 1 ------- tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=2, l_area=1.000, l_dist=1.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 1.000000 desired_rms_height -1.000000 momentum 0.900000 nbhd_size 7 max_nbrs 8 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 0 randomSeed 1234 -------------------- mrisRemoveNegativeArea() pass 1: epoch 1 of 3 starting distance error %20.14 pass 1: epoch 2 of 3 starting distance error %20.13 unfolding complete - removing small folds... starting distance error %20.09 removing remaining folds... final distance error %20.11 MRISunfold() return, current seed 1234 -01: dt=0.0000, 195 negative triangles 191: dt=0.9900, 195 negative triangles 192: dt=0.9900, 77 negative triangles 193: dt=0.9900, 43 negative triangles 194: dt=0.9900, 31 negative triangles 195: dt=0.9900, 28 negative triangles 196: dt=0.9900, 26 negative triangles 197: dt=0.9900, 20 negative triangles 198: dt=0.9900, 19 negative triangles 199: dt=0.9900, 13 negative triangles 200: dt=0.9900, 15 negative triangles 201: dt=0.9900, 10 negative triangles 202: dt=0.9900, 10 negative triangles 203: dt=0.9900, 10 negative triangles 204: dt=0.9900, 13 negative triangles 205: dt=0.9900, 12 negative triangles 206: dt=0.9900, 9 negative triangles 207: dt=0.9900, 11 negative triangles 208: dt=0.9900, 9 negative triangles 209: dt=0.9900, 9 negative triangles 210: dt=0.9900, 12 negative triangles 211: dt=0.9900, 9 negative triangles 212: dt=0.9900, 8 negative triangles 213: dt=0.9900, 5 negative triangles 214: dt=0.9900, 5 negative triangles 215: dt=0.9900, 5 negative triangles 216: dt=0.9900, 6 negative triangles 217: dt=0.9900, 8 negative triangles 218: dt=0.9900, 6 negative triangles 219: dt=0.9900, 6 negative triangles 220: dt=0.9900, 5 negative triangles 221: dt=0.9900, 2 negative triangles 222: dt=0.9900, 4 negative triangles 223: dt=0.9900, 1 negative triangles 224: dt=0.9900, 1 negative triangles 225: dt=0.9900, 2 negative triangles writing spherical brain to ../surf/lh.sphere spherical transformation took 1.46 hours mris_sphere utimesec 5252.840446 mris_sphere stimesec 0.572912 mris_sphere ru_maxrss 271028 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 43875 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 10792 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 204 mris_sphere ru_nivcsw 21469 FSRUNTIME@ mris_sphere 1.4600 hours 1 threads @#@FSTIME 2017:01:19:13:17:38 mris_sphere N 6 e 5255.90 S 0.57 U 5252.84 P 99% M 271028 F 0 R 43880 W 0 c 21471 w 215 I 0 O 10800 L 5.99 5.54 4.79 @#@FSLOADPOST 2017:01:19:14:45:14 mris_sphere N 6 5.87 5.85 5.82 #-------------------------------------------- #@# Sphere rh Thu Jan 19 14:45:14 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_sphere -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_sphere.rh.dat -seed 1234 ../surf/rh.inflated ../surf/rh.sphere setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.269... MRISunfold() max_passes = 1 ------- tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=2, l_area=1.000, l_dist=1.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 1.000000 desired_rms_height -1.000000 momentum 0.900000 nbhd_size 7 max_nbrs 8 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 1 randomSeed 1234 -------------------- mrisRemoveNegativeArea() pass 1: epoch 1 of 3 starting distance error %20.22 pass 1: epoch 2 of 3 starting distance error %20.16 unfolding complete - removing small folds... starting distance error %20.04 removing remaining folds... final distance error %20.06 MRISunfold() return, current seed 1234 -01: dt=0.0000, 244 negative triangles 206: dt=0.9900, 244 negative triangles 207: dt=0.9900, 121 negative triangles 208: dt=0.9900, 110 negative triangles 209: dt=0.9900, 98 negative triangles 210: dt=0.9900, 93 negative triangles 211: dt=0.9900, 81 negative triangles 212: dt=0.9900, 78 negative triangles 213: dt=0.9900, 62 negative triangles 214: dt=0.9900, 74 negative triangles 215: dt=0.9900, 59 negative triangles 216: dt=0.9900, 56 negative triangles 217: dt=0.9900, 54 negative triangles 218: dt=0.9900, 53 negative triangles 219: dt=0.9900, 61 negative triangles 220: dt=0.9900, 55 negative triangles 221: dt=0.9900, 60 negative triangles 222: dt=0.9900, 59 negative triangles 223: dt=0.9900, 46 negative triangles 224: dt=0.9900, 47 negative triangles 225: dt=0.9900, 44 negative triangles 226: dt=0.9900, 45 negative triangles 227: dt=0.9900, 40 negative triangles 228: dt=0.9900, 41 negative triangles 229: dt=0.9900, 40 negative triangles 230: dt=0.9900, 38 negative triangles 231: dt=0.9900, 37 negative triangles 232: dt=0.9900, 35 negative triangles 233: dt=0.9900, 38 negative triangles 234: dt=0.9900, 31 negative triangles 235: dt=0.9900, 39 negative triangles 236: dt=0.9900, 34 negative triangles 237: dt=0.9900, 37 negative triangles 238: dt=0.9900, 35 negative triangles 239: dt=0.9900, 31 negative triangles 240: dt=0.9900, 31 negative triangles 241: dt=0.9900, 27 negative triangles 242: dt=0.9900, 30 negative triangles 243: dt=0.9900, 26 negative triangles 244: dt=0.9900, 27 negative triangles 245: dt=0.9900, 29 negative triangles 246: dt=0.9900, 30 negative triangles 247: dt=0.9900, 23 negative triangles 248: dt=0.9900, 25 negative triangles 249: dt=0.9900, 27 negative triangles 250: dt=0.9900, 26 negative triangles 251: dt=0.9900, 27 negative triangles 252: dt=0.9900, 18 negative triangles 253: dt=0.9900, 22 negative triangles 254: dt=0.9900, 20 negative triangles 255: dt=0.9900, 21 negative triangles 256: dt=0.9900, 16 negative triangles 257: dt=0.9900, 15 negative triangles 258: dt=0.9900, 11 negative triangles 259: dt=0.9900, 9 negative triangles 260: dt=0.9900, 8 negative triangles 261: dt=0.9900, 9 negative triangles 262: dt=0.9900, 3 negative triangles writing spherical brain to ../surf/rh.sphere spherical transformation took 1.56 hours mris_sphere utimesec 5617.782967 mris_sphere stimesec 0.560914 mris_sphere ru_maxrss 268680 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 43281 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 10704 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 228 mris_sphere ru_nivcsw 17400 FSRUNTIME@ mris_sphere 1.5612 hours 1 threads @#@FSTIME 2017:01:19:14:45:15 mris_sphere N 6 e 5620.44 S 0.56 U 5617.78 P 99% M 268680 F 0 R 43286 W 0 c 17402 w 238 I 0 O 10712 L 5.87 5.85 5.82 @#@FSLOADPOST 2017:01:19:16:18:55 mris_sphere N 6 5.81 5.89 5.84 #-------------------------------------------- #@# Surf Reg lh Thu Jan 19 16:18:55 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_register.lh.dat ../surf/lh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/lh.sphere.reg using smoothwm curvature for final alignment cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts cmdline mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_register.lh.dat ../surf/lh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/lh.sphere.reg 0 inflated.H 1 sulc 2 smoothwm (computed) $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading surface from ../surf/lh.sphere... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... MRISregister() ------- max_passes = 4 min_degrees = 0.500000 max_degrees = 64.000000 nangles = 8 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height -1.000000 momentum 0.950000 nbhd_size -10 max_nbrs 10 niterations 25 nsurfaces 0 SURFACES 3 flags 16 (10) use curv 16 no sulc 0 no rigid align 0 mris->nsize 1 mris->hemisphere 0 randomSeed 0 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization -------------------- 1 Reading lh.sulc curvature mean = 0.000, std = 5.391 curvature mean = 0.036, std = 0.825 curvature mean = 0.021, std = 0.853 Starting MRISrigidBodyAlignGlobal() d=64.00 min @ (0.00, -16.00, 0.00) sse = 359344.4, tmin=1.6079 d=32.00 min @ (8.00, 8.00, 0.00) sse = 297335.2, tmin=3.2362 d=16.00 min @ (0.00, -4.00, -4.00) sse = 290185.6, tmin=4.9009 d=8.00 min @ (-2.00, 0.00, 2.00) sse = 280826.9, tmin=6.5754 d=4.00 min @ (1.00, 1.00, 0.00) sse = 277534.0, tmin=8.2860 d=1.00 min @ (-0.25, 0.00, 0.00) sse = 277500.3, tmin=11.8570 d=0.50 min @ (0.12, 0.00, -0.12) sse = 277483.2, tmin=13.6083 tol=1.0e+00, sigma=0.5, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=0.050, l_spring=0.500, l_dist=5.000 using quadratic fit line minimization MRISrigidBodyAlignGlobal() done 13.61 min curvature mean = 0.011, std = 0.823 curvature mean = 0.008, std = 0.941 curvature mean = 0.007, std = 0.833 curvature mean = 0.003, std = 0.975 curvature mean = 0.006, std = 0.834 curvature mean = 0.001, std = 0.989 2 Reading smoothwm curvature mean = -0.027, std = 0.307 curvature mean = 0.041, std = 0.248 curvature mean = 0.070, std = 0.309 curvature mean = 0.037, std = 0.305 curvature mean = 0.040, std = 0.489 curvature mean = 0.037, std = 0.329 curvature mean = 0.022, std = 0.634 curvature mean = 0.036, std = 0.340 curvature mean = 0.007, std = 0.753 MRISregister() return, current seed 0 -01: dt=0.0000, 51 negative triangles 118: dt=0.9900, 51 negative triangles expanding nbhd size to 1 119: dt=0.9900, 58 negative triangles 120: dt=0.9900, 29 negative triangles 121: dt=0.9900, 28 negative triangles 122: dt=0.9900, 24 negative triangles 123: dt=0.9900, 22 negative triangles 124: dt=0.9900, 25 negative triangles 125: dt=0.9900, 17 negative triangles 126: dt=0.9900, 17 negative triangles 127: dt=0.9900, 14 negative triangles 128: dt=0.9900, 7 negative triangles 129: dt=0.9900, 6 negative triangles 130: dt=0.9900, 7 negative triangles 131: dt=0.9900, 4 negative triangles 132: dt=0.9900, 3 negative triangles 133: dt=0.9900, 2 negative triangles 134: dt=0.9900, 2 negative triangles 135: dt=0.9900, 3 negative triangles writing registered surface to ../surf/lh.sphere.reg... registration took 1.82 hours mris_register utimesec 6564.833993 mris_register stimesec 0.842871 mris_register ru_maxrss 250224 mris_register ru_ixrss 0 mris_register ru_idrss 0 mris_register ru_isrss 0 mris_register ru_minflt 32084 mris_register ru_majflt 0 mris_register ru_nswap 0 mris_register ru_inblock 0 mris_register ru_oublock 10792 mris_register ru_msgsnd 0 mris_register ru_msgrcv 0 mris_register ru_nsignals 0 mris_register ru_nvcsw 224 mris_register ru_nivcsw 10735 FSRUNTIME@ mris_register 1.8242 hours 1 threads @#@FSTIME 2017:01:19:16:18:55 mris_register N 6 e 6567.27 S 0.84 U 6564.83 P 99% M 250224 F 0 R 32089 W 0 c 10736 w 234 I 0 O 10800 L 5.81 5.89 5.84 @#@FSLOADPOST 2017:01:19:18:08:23 mris_register N 6 4.91 4.87 4.94 #-------------------------------------------- #@# Surf Reg rh Thu Jan 19 18:08:23 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_register.rh.dat ../surf/rh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/rh.sphere.reg using smoothwm curvature for final alignment cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts cmdline mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/touch/rusage.mris_register.rh.dat ../surf/rh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/rh.sphere.reg 0 inflated.H 1 sulc 2 smoothwm (computed) $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading surface from ../surf/rh.sphere... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... MRISregister() ------- max_passes = 4 min_degrees = 0.500000 max_degrees = 64.000000 nangles = 8 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height -1.000000 momentum 0.950000 nbhd_size -10 max_nbrs 10 niterations 25 nsurfaces 0 SURFACES 3 flags 16 (10) use curv 16 no sulc 0 no rigid align 0 mris->nsize 1 mris->hemisphere 1 randomSeed 0 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization -------------------- 1 Reading rh.sulc curvature mean = 0.000, std = 5.483 curvature mean = 0.038, std = 0.812 curvature mean = 0.020, std = 0.852 Starting MRISrigidBodyAlignGlobal() d=64.00 min @ (16.00, 0.00, 16.00) sse = 403381.7, tmin=1.5398 d=32.00 min @ (-8.00, -8.00, 0.00) sse = 294282.4, tmin=3.1124 d=16.00 min @ (0.00, 0.00, -4.00) sse = 247624.0, tmin=4.6987 d=4.00 min @ (1.00, 0.00, 0.00) sse = 246007.9, tmin=7.8652 d=2.00 min @ (-0.50, -0.50, 0.00) sse = 245455.3, tmin=9.4515 d=1.00 min @ (0.00, 0.00, -0.25) sse = 245401.9, tmin=11.0354 d=0.50 min @ (0.12, 0.12, 0.12) sse = 245356.1, tmin=12.6674 tol=1.0e+00, sigma=0.5, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=0.050, l_spring=0.500, l_dist=5.000 using quadratic fit line minimization MRISrigidBodyAlignGlobal() done 12.67 min curvature mean = 0.022, std = 0.821 curvature mean = 0.008, std = 0.943 curvature mean = 0.018, std = 0.829 curvature mean = 0.003, std = 0.976 curvature mean = 0.017, std = 0.830 curvature mean = 0.001, std = 0.990 2 Reading smoothwm curvature mean = -0.027, std = 0.323 curvature mean = 0.039, std = 0.240 curvature mean = 0.070, std = 0.297 curvature mean = 0.034, std = 0.296 curvature mean = 0.043, std = 0.467 curvature mean = 0.034, std = 0.323 curvature mean = 0.025, std = 0.604 curvature mean = 0.033, std = 0.334 curvature mean = 0.010, std = 0.716 MRISregister() return, current seed 0 -01: dt=0.0000, 112 negative triangles 120: dt=0.9900, 112 negative triangles 121: dt=0.9900, 107 negative triangles 122: dt=0.9900, 119 negative triangles 123: dt=0.9900, 108 negative triangles 124: dt=0.9900, 92 negative triangles 125: dt=0.9900, 84 negative triangles 126: dt=0.9900, 61 negative triangles 127: dt=0.9900, 54 negative triangles 128: dt=0.9900, 49 negative triangles 129: dt=0.9900, 43 negative triangles 130: dt=0.9900, 42 negative triangles 131: dt=0.9900, 33 negative triangles 132: dt=0.9900, 28 negative triangles 133: dt=0.9900, 27 negative triangles 134: dt=0.9900, 21 negative triangles 135: dt=0.9900, 26 negative triangles 136: dt=0.9900, 20 negative triangles 137: dt=0.9900, 18 negative triangles 138: dt=0.9900, 11 negative triangles 139: dt=0.9900, 8 negative triangles 140: dt=0.9900, 8 negative triangles 141: dt=0.9900, 7 negative triangles writing registered surface to ../surf/rh.sphere.reg... registration took 2.11 hours mris_register utimesec 7578.419905 mris_register stimesec 0.828873 mris_register ru_maxrss 248584 mris_register ru_ixrss 0 mris_register ru_idrss 0 mris_register ru_isrss 0 mris_register ru_minflt 29632 mris_register ru_majflt 0 mris_register ru_nswap 0 mris_register ru_inblock 0 mris_register ru_oublock 10704 mris_register ru_msgsnd 0 mris_register ru_msgrcv 0 mris_register ru_nsignals 0 mris_register ru_nvcsw 239 mris_register ru_nivcsw 20371 FSRUNTIME@ mris_register 2.1059 hours 1 threads @#@FSTIME 2017:01:19:18:08:23 mris_register N 6 e 7581.19 S 0.82 U 7578.42 P 99% M 248584 F 0 R 29637 W 0 c 20371 w 249 I 0 O 10712 L 4.91 4.87 4.94 @#@FSLOADPOST 2017:01:19:20:14:44 mris_register N 6 3.20 3.16 3.07 #-------------------------------------------- #@# Jacobian white lh Thu Jan 19 20:14:44 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_jacobian ../surf/lh.white.preaparc ../surf/lh.sphere.reg ../surf/lh.jacobian_white reading surface from ../surf/lh.white.preaparc... writing curvature file ../surf/lh.jacobian_white @#@FSTIME 2017:01:19:20:14:44 mris_jacobian N 3 e 2.65 S 0.09 U 2.46 P 96% M 196520 F 0 R 25224 W 0 c 22 w 46 I 0 O 1200 L 3.26 3.17 3.07 @#@FSLOADPOST 2017:01:19:20:14:47 mris_jacobian N 3 3.26 3.17 3.07 #-------------------------------------------- #@# Jacobian white rh Thu Jan 19 20:14:47 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_jacobian ../surf/rh.white.preaparc ../surf/rh.sphere.reg ../surf/rh.jacobian_white reading surface from ../surf/rh.white.preaparc... writing curvature file ../surf/rh.jacobian_white @#@FSTIME 2017:01:19:20:14:47 mris_jacobian N 3 e 2.62 S 0.10 U 2.43 P 96% M 194904 F 0 R 24820 W 0 c 21 w 43 I 0 O 1192 L 3.26 3.17 3.07 @#@FSLOADPOST 2017:01:19:20:14:50 mris_jacobian N 3 3.24 3.17 3.07 #-------------------------------------------- #@# AvgCurv lh Thu Jan 19 20:14:50 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mrisp_paint -a 5 /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif#6 ../surf/lh.sphere.reg ../surf/lh.avg_curv averaging curvature patterns 5 times... reading surface from ../surf/lh.sphere.reg... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... writing curvature file to ../surf/lh.avg_curv... @#@FSTIME 2017:01:19:20:14:50 mrisp_paint N 5 e 2.23 S 0.06 U 2.08 P 96% M 201796 F 0 R 26019 W 0 c 21 w 42 I 0 O 1200 L 3.24 3.17 3.07 @#@FSLOADPOST 2017:01:19:20:14:52 mrisp_paint N 5 3.24 3.17 3.07 #-------------------------------------------- #@# AvgCurv rh Thu Jan 19 20:14:52 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mrisp_paint -a 5 /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif#6 ../surf/rh.sphere.reg ../surf/rh.avg_curv averaging curvature patterns 5 times... reading surface from ../surf/rh.sphere.reg... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... writing curvature file to ../surf/rh.avg_curv... @#@FSTIME 2017:01:19:20:14:52 mrisp_paint N 5 e 2.20 S 0.11 U 2.00 P 96% M 200180 F 0 R 25103 W 0 c 22 w 41 I 0 O 1192 L 3.24 3.17 3.07 @#@FSLOADPOST 2017:01:19:20:14:55 mrisp_paint N 5 3.22 3.17 3.07 #----------------------------------------- #@# Cortical Parc lh Thu Jan 19 20:14:55 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 004 lh ../surf/lh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/lh.aparc.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 0.8 using min determinant for regularization = 0.006 0 singular and 342 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1649 labels changed using aseg relabeling using gibbs priors... 000: 3515 changed, 153374 examined... 001: 837 changed, 14753 examined... 002: 194 changed, 4609 examined... 003: 55 changed, 1114 examined... 004: 27 changed, 315 examined... 005: 13 changed, 155 examined... 006: 6 changed, 78 examined... 007: 2 changed, 28 examined... 008: 0 changed, 12 examined... 279 labels changed using aseg 000: 142 total segments, 100 labels (398 vertices) changed 001: 44 total segments, 4 labels (7 vertices) changed 002: 40 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 7 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 2049 vertices marked for relabeling... 2049 labels changed in reclassification. writing output to ../label/lh.aparc.annot... classification took 0 minutes and 17 seconds. @#@FSTIME 2017:01:19:20:14:55 mris_ca_label N 11 e 17.36 S 0.27 U 16.91 P 99% M 557588 F 0 R 84008 W 0 c 57 w 92 I 0 O 2400 L 3.22 3.17 3.07 @#@FSLOADPOST 2017:01:19:20:15:12 mris_ca_label N 11 3.17 3.16 3.07 #----------------------------------------- #@# Cortical Parc rh Thu Jan 19 20:15:12 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 004 rh ../surf/rh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/rh.aparc.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 0.7 using min determinant for regularization = 0.004 0 singular and 309 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1457 labels changed using aseg relabeling using gibbs priors... 000: 3134 changed, 152106 examined... 001: 685 changed, 13265 examined... 002: 139 changed, 3928 examined... 003: 63 changed, 814 examined... 004: 30 changed, 356 examined... 005: 14 changed, 171 examined... 006: 5 changed, 76 examined... 007: 3 changed, 31 examined... 008: 0 changed, 16 examined... 204 labels changed using aseg 000: 110 total segments, 71 labels (358 vertices) changed 001: 41 total segments, 2 labels (3 vertices) changed 002: 39 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 1 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 1437 vertices marked for relabeling... 1437 labels changed in reclassification. writing output to ../label/rh.aparc.annot... classification took 0 minutes and 17 seconds. @#@FSTIME 2017:01:19:20:15:12 mris_ca_label N 11 e 16.89 S 0.27 U 16.45 P 99% M 544276 F 0 R 81500 W 0 c 65 w 88 I 0 O 2384 L 3.17 3.16 3.07 @#@FSLOADPOST 2017:01:19:20:15:29 mris_ca_label N 11 3.13 3.15 3.07 #-------------------------------------------- #@# Make Pial Surf lh Thu Jan 19 20:15:29 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_make_surfaces -orig_white white.preaparc -orig_pial white.preaparc -aseg ../mri/aseg.presurf -mgz -T1 brain.finalsurfs 004 lh using white.preaparc starting white location... using white.preaparc starting pial locations... using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... 26531 bright wm thresholded. 5112 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.orig... computing class statistics... border white: 279852 voxels (1.67%) border gray 327594 voxels (1.95%) WM (96.0): 96.2 +- 9.5 [70.0 --> 110.0] GM (67.0) : 66.3 +- 11.0 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 51.0 (was 70) setting MAX_BORDER_WHITE to 110.5 (was 105) setting MIN_BORDER_WHITE to 62.0 (was 85) setting MAX_CSF to 40.0 (was 40) setting MAX_GRAY to 91.5 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 51.0 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 29.0 (was 40) using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=101+-8.7, GM=62+-7.8 mean inside = 90.1, mean outside = 69.5 smoothing surface for 5 iterations... reading initial white vertex positions from white.preaparc... reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.90 +- 0.26 (0.03-->4.57) (max @ vno 140504 --> 145759) face area 0.34 +- 0.16 (0.00-->3.24) mean absolute distance = 0.71 +- 0.96 3378 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... deleting segment 0 with 39 points - only 0.00% unknown removing 3 vertex label from ripped group deleting segment 2 with 3 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 5 with 373 points - only 0.00% unknown deleting segment 6 with 80 points - only 0.00% unknown deleting segment 7 with 75 points - only 0.00% unknown deleting segment 8 with 11 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 9 with 2 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 10 with 4 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 11 with 2 points - only 0.00% unknown deleting segment 12 with 31 points - only 0.00% unknown deleting segment 13 with 9 points - only 0.00% unknown deleting segment 14 with 8 points - only 0.00% unknown mean border=74.1, 311 (311) missing vertices, mean dist 0.4 [1.5 (%11.4)->0.6 (%88.6))] %49 local maxima, %46 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 0 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.93 +- 0.27 (0.07-->4.33) (max @ vno 140504 --> 145759) face area 0.34 +- 0.17 (0.00-->3.33) mean absolute distance = 0.39 +- 0.68 4140 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=3242046.8, rms=9.272 001: dt: 0.5000, sse=1619095.6, rms=5.495 (40.732%) 002: dt: 0.5000, sse=1236469.1, rms=4.143 (24.602%) 003: dt: 0.5000, sse=1177846.9, rms=3.906 (5.726%) 004: dt: 0.5000, sse=1122275.9, rms=3.655 (6.420%) rms = 3.79, time step reduction 1 of 3 to 0.250... 005: dt: 0.2500, sse=946441.5, rms=2.659 (27.244%) 006: dt: 0.2500, sse=886235.9, rms=2.218 (16.610%) 007: dt: 0.2500, sse=866508.1, rms=2.063 (6.962%) rms = 2.02, time step reduction 2 of 3 to 0.125... 008: dt: 0.2500, sse=862676.9, rms=2.019 (2.139%) 009: dt: 0.1250, sse=851970.1, rms=1.928 (4.493%) rms = 1.92, time step reduction 3 of 3 to 0.062... 010: dt: 0.1250, sse=850758.9, rms=1.916 (0.658%) positioning took 1.3 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 35 points - only 0.00% unknown deleting segment 1 with 37 points - only 0.00% unknown deleting segment 3 with 9 points - only 0.00% unknown deleting segment 4 with 236 points - only 0.00% unknown deleting segment 5 with 21 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 6 with 2 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 7 with 4 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 8 with 2 points - only 0.00% unknown deleting segment 9 with 6 points - only 0.00% unknown mean border=77.6, 210 (105) missing vertices, mean dist -0.2 [0.5 (%69.5)->0.2 (%30.5))] %66 local maxima, %29 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.91 +- 0.27 (0.05-->4.32) (max @ vno 140504 --> 145759) face area 0.36 +- 0.18 (0.00-->3.58) mean absolute distance = 0.29 +- 0.43 3268 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1480143.9, rms=4.866 011: dt: 0.5000, sse=1133426.5, rms=3.421 (29.699%) rms = 3.64, time step reduction 1 of 3 to 0.250... 012: dt: 0.2500, sse=987138.0, rms=2.598 (24.063%) 013: dt: 0.2500, sse=914276.7, rms=2.060 (20.704%) 014: dt: 0.2500, sse=886418.7, rms=1.811 (12.103%) 015: dt: 0.2500, sse=877887.6, rms=1.716 (5.239%) rms = 1.67, time step reduction 2 of 3 to 0.125... 016: dt: 0.2500, sse=871310.7, rms=1.668 (2.792%) 017: dt: 0.1250, sse=863094.9, rms=1.571 (5.839%) rms = 1.56, time step reduction 3 of 3 to 0.062... 018: dt: 0.1250, sse=864701.0, rms=1.563 (0.508%) positioning took 1.0 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 35 points - only 0.00% unknown removing 1 vertex label from ripped group deleting segment 1 with 1 points - only 0.00% unknown deleting segment 2 with 9 points - only 0.00% unknown deleting segment 3 with 317 points - only 0.00% unknown deleting segment 4 with 40 points - only 0.00% unknown deleting segment 5 with 34 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 6 with 2 points - only 0.00% unknown removing 1 vertex label from ripped group deleting segment 7 with 1 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 8 with 2 points - only 0.00% unknown removing 3 vertex label from ripped group deleting segment 9 with 3 points - only 0.00% unknown deleting segment 10 with 6 points - only 0.00% unknown mean border=80.6, 223 (91) missing vertices, mean dist -0.2 [0.3 (%70.1)->0.2 (%29.9))] %79 local maxima, %16 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.90 +- 0.26 (0.05-->4.25) (max @ vno 140504 --> 145759) face area 0.35 +- 0.17 (0.00-->3.27) mean absolute distance = 0.24 +- 0.35 3391 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1201932.4, rms=3.865 019: dt: 0.5000, sse=1081480.2, rms=3.236 (16.271%) rms = 3.53, time step reduction 1 of 3 to 0.250... 020: dt: 0.2500, sse=905237.2, rms=2.168 (32.999%) 021: dt: 0.2500, sse=852915.9, rms=1.701 (21.533%) 022: dt: 0.2500, sse=842178.8, rms=1.537 (9.675%) rms = 1.52, time step reduction 2 of 3 to 0.125... 023: dt: 0.2500, sse=832635.9, rms=1.518 (1.249%) 024: dt: 0.1250, sse=825172.8, rms=1.390 (8.412%) rms = 1.38, time step reduction 3 of 3 to 0.062... 025: dt: 0.1250, sse=821193.1, rms=1.385 (0.357%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 32 points - only 0.00% unknown removing 1 vertex label from ripped group deleting segment 1 with 1 points - only 0.00% unknown deleting segment 2 with 7 points - only 0.00% unknown deleting segment 3 with 338 points - only 0.00% unknown deleting segment 4 with 61 points - only 0.00% unknown deleting segment 5 with 70 points - only 0.00% unknown deleting segment 6 with 55 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 7 with 2 points - only 0.00% unknown deleting segment 8 with 10 points - only 0.00% unknown deleting segment 9 with 5 points - only 0.00% unknown mean border=81.8, 232 (76) missing vertices, mean dist -0.1 [0.3 (%57.5)->0.2 (%42.5))] %84 local maxima, %10 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... writing smoothed curvature to lh.curv 000: dt: 0.0000, sse=868207.8, rms=2.006 rms = 2.41, time step reduction 1 of 3 to 0.250... 026: dt: 0.2500, sse=801685.4, rms=1.313 (34.532%) 027: dt: 0.2500, sse=792771.9, rms=1.011 (23.016%) rms = 1.04, time step reduction 2 of 3 to 0.125... rms = 1.00, time step reduction 3 of 3 to 0.062... 028: dt: 0.1250, sse=783488.2, rms=1.002 (0.895%) positioning took 0.6 minutes generating cortex label... 17 non-cortical segments detected only using segment with 9181 vertices erasing segment 0 (vno[0] = 36732) erasing segment 2 (vno[0] = 55977) erasing segment 3 (vno[0] = 62081) erasing segment 4 (vno[0] = 64519) erasing segment 5 (vno[0] = 76168) erasing segment 6 (vno[0] = 89202) erasing segment 7 (vno[0] = 93660) erasing segment 8 (vno[0] = 94483) erasing segment 9 (vno[0] = 100997) erasing segment 10 (vno[0] = 106361) erasing segment 11 (vno[0] = 108274) erasing segment 12 (vno[0] = 110859) erasing segment 13 (vno[0] = 115755) erasing segment 14 (vno[0] = 121399) erasing segment 15 (vno[0] = 122178) erasing segment 16 (vno[0] = 122192) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.curv writing smoothed area to lh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.area vertex spacing 0.90 +- 0.27 (0.06-->4.23) (max @ vno 140504 --> 145759) face area 0.34 +- 0.17 (0.00-->3.17) repositioning cortical surface to gray/csf boundary. smoothing T1 volume with sigma = 2.000 averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group deleting segment 0 with 3 points - only 0.00% unknown removing 1 vertex label from ripped group deleting segment 2 with 1 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 3 with 2 points - only 0.00% unknown removing 1 vertex label from ripped group deleting segment 4 with 1 points - only 0.00% unknown removing 2 vertex label from ripped group removing 4 vertex label from ripped group removing 1 vertex label from ripped group deleting segment 7 with 1 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 8 with 4 points - only 0.00% unknown smoothing surface for 5 iterations... reading initial pial vertex positions from white.preaparc... mean border=48.6, 313 (313) missing vertices, mean dist 2.0 [0.9 (%0.0)->2.4 (%100.0))] %16 local maxima, %60 large gradients and %19 min vals, 271 gradients ignored perforing initial smooth deformation to move away from white surface tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=33830284.0, rms=33.727 001: dt: 0.0500, sse=29768784.0, rms=31.589 (6.339%) 002: dt: 0.0500, sse=26840356.0, rms=29.953 (5.180%) 003: dt: 0.0500, sse=24597652.0, rms=28.637 (4.395%) 004: dt: 0.0500, sse=22792608.0, rms=27.531 (3.860%) 005: dt: 0.0500, sse=21281346.0, rms=26.571 (3.490%) 006: dt: 0.0500, sse=19978202.0, rms=25.713 (3.227%) 007: dt: 0.0500, sse=18829632.0, rms=24.933 (3.034%) 008: dt: 0.0500, sse=17802584.0, rms=24.214 (2.883%) 009: dt: 0.0500, sse=16871934.0, rms=23.544 (2.769%) 010: dt: 0.0500, sse=16021234.0, rms=22.914 (2.676%) positioning took 1.1 minutes mean border=48.5, 177 (134) missing vertices, mean dist 1.6 [0.1 (%0.1)->1.9 (%99.9))] %17 local maxima, %60 large gradients and %18 min vals, 232 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=16706834.0, rms=23.417 011: dt: 0.0500, sse=15918578.0, rms=22.832 (2.501%) 012: dt: 0.0500, sse=15189756.0, rms=22.276 (2.432%) 013: dt: 0.0500, sse=14512470.0, rms=21.747 (2.374%) 014: dt: 0.0500, sse=13881844.0, rms=21.243 (2.319%) 015: dt: 0.0500, sse=13293505.0, rms=20.762 (2.267%) 016: dt: 0.0500, sse=12743882.0, rms=20.301 (2.217%) 017: dt: 0.0500, sse=12229572.0, rms=19.861 (2.170%) 018: dt: 0.0500, sse=11748306.0, rms=19.440 (2.121%) 019: dt: 0.0500, sse=11297466.0, rms=19.036 (2.074%) 020: dt: 0.0500, sse=10875162.0, rms=18.651 (2.026%) positioning took 1.1 minutes mean border=48.3, 143 (98) missing vertices, mean dist 1.3 [0.1 (%0.9)->1.6 (%99.1))] %17 local maxima, %60 large gradients and %18 min vals, 238 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=10992663.0, rms=18.765 021: dt: 0.0500, sse=10585048.0, rms=18.388 (2.012%) 022: dt: 0.0500, sse=10203240.0, rms=18.027 (1.962%) 023: dt: 0.0500, sse=9842156.0, rms=17.679 (1.931%) 024: dt: 0.0500, sse=9503976.0, rms=17.347 (1.880%) 025: dt: 0.0500, sse=9187894.0, rms=17.030 (1.825%) 026: dt: 0.0500, sse=8891954.0, rms=16.728 (1.773%) 027: dt: 0.0500, sse=8610677.0, rms=16.436 (1.747%) 028: dt: 0.0500, sse=8340464.5, rms=16.150 (1.739%) 029: dt: 0.0500, sse=8082212.5, rms=15.872 (1.722%) 030: dt: 0.0500, sse=7835417.5, rms=15.601 (1.704%) positioning took 1.1 minutes mean border=48.2, 143 (90) missing vertices, mean dist 1.0 [0.1 (%9.8)->1.4 (%90.2))] %18 local maxima, %60 large gradients and %17 min vals, 205 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 1.000 averaging target values for 5 iterations... 000: dt: 0.0000, sse=7951084.5, rms=15.729 031: dt: 0.5000, sse=6199009.5, rms=13.679 (13.034%) 032: dt: 0.5000, sse=4975958.5, rms=12.034 (12.027%) 033: dt: 0.5000, sse=4022409.8, rms=10.581 (12.073%) 034: dt: 0.5000, sse=3291167.2, rms=9.302 (12.087%) 035: dt: 0.5000, sse=2739223.0, rms=8.212 (11.722%) 036: dt: 0.5000, sse=2339307.2, rms=7.312 (10.951%) 037: dt: 0.5000, sse=2053247.8, rms=6.602 (9.721%) 038: dt: 0.5000, sse=1872026.0, rms=6.101 (7.579%) 039: dt: 0.5000, sse=1754426.6, rms=5.760 (5.587%) 040: dt: 0.5000, sse=1685326.9, rms=5.542 (3.794%) 041: dt: 0.5000, sse=1633762.6, rms=5.382 (2.888%) 042: dt: 0.5000, sse=1603064.5, rms=5.275 (1.975%) 043: dt: 0.5000, sse=1576907.1, rms=5.192 (1.579%) rms = 5.15, time step reduction 1 of 3 to 0.250... 044: dt: 0.5000, sse=1565131.9, rms=5.146 (0.881%) 045: dt: 0.2500, sse=1396888.8, rms=4.494 (12.683%) 046: dt: 0.2500, sse=1353923.2, rms=4.323 (3.810%) rms = 4.30, time step reduction 2 of 3 to 0.125... 047: dt: 0.2500, sse=1349928.1, rms=4.302 (0.468%) 048: dt: 0.1250, sse=1323402.5, rms=4.188 (2.650%) rms = 4.17, time step reduction 3 of 3 to 0.062... 049: dt: 0.1250, sse=1319774.0, rms=4.173 (0.368%) positioning took 2.5 minutes mean border=46.6, 1255 (26) missing vertices, mean dist 0.2 [0.2 (%46.4)->0.5 (%53.6))] %32 local maxima, %47 large gradients and %15 min vals, 121 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=8, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1711986.4, rms=4.868 050: dt: 0.5000, sse=1583504.1, rms=4.391 (9.792%) rms = 4.41, time step reduction 1 of 3 to 0.250... 051: dt: 0.2500, sse=1431245.5, rms=3.717 (15.346%) 052: dt: 0.2500, sse=1376698.2, rms=3.451 (7.161%) 053: dt: 0.2500, sse=1356715.2, rms=3.349 (2.966%) 054: dt: 0.2500, sse=1346223.4, rms=3.298 (1.523%) rms = 3.27, time step reduction 2 of 3 to 0.125... 055: dt: 0.2500, sse=1339782.8, rms=3.268 (0.910%) 056: dt: 0.1250, sse=1311312.9, rms=3.105 (4.974%) rms = 3.07, time step reduction 3 of 3 to 0.062... 057: dt: 0.1250, sse=1305690.4, rms=3.075 (0.979%) positioning took 1.2 minutes mean border=45.4, 1483 (11) missing vertices, mean dist 0.1 [0.2 (%48.8)->0.4 (%51.2))] %49 local maxima, %31 large gradients and %14 min vals, 107 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=4, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1412908.4, rms=3.582 rms = 3.94, time step reduction 1 of 3 to 0.250... 058: dt: 0.2500, sse=1344665.9, rms=3.229 (9.853%) 059: dt: 0.2500, sse=1318755.2, rms=3.088 (4.375%) rms = 3.04, time step reduction 2 of 3 to 0.125... 060: dt: 0.2500, sse=1308043.6, rms=3.039 (1.587%) 061: dt: 0.1250, sse=1290860.5, rms=2.934 (3.464%) rms = 2.91, time step reduction 3 of 3 to 0.062... 062: dt: 0.1250, sse=1286339.0, rms=2.910 (0.809%) positioning took 0.9 minutes mean border=44.5, 2382 (8) missing vertices, mean dist 0.1 [0.2 (%49.7)->0.3 (%50.3))] %55 local maxima, %25 large gradients and %14 min vals, 107 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=2, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing pial surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... writing smoothed curvature to lh.curv.pial 000: dt: 0.0000, sse=1322121.5, rms=3.099 rms = 3.59, time step reduction 1 of 3 to 0.250... 063: dt: 0.2500, sse=1289325.8, rms=2.904 (6.297%) 064: dt: 0.2500, sse=1274946.1, rms=2.828 (2.630%) rms = 2.81, time step reduction 2 of 3 to 0.125... 065: dt: 0.2500, sse=1270171.5, rms=2.810 (0.626%) 066: dt: 0.1250, sse=1252973.0, rms=2.699 (3.940%) rms = 2.68, time step reduction 3 of 3 to 0.062... 067: dt: 0.1250, sse=1248701.9, rms=2.676 (0.853%) positioning took 0.9 minutes writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.curv.pial writing smoothed area to lh.area.pial writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.area.pial vertex spacing 1.02 +- 0.44 (0.09-->7.60) (max @ vno 104170 --> 103118) face area 0.41 +- 0.32 (0.00-->7.39) measuring cortical thickness... writing cortical thickness estimate to 'thickness' file. 0 of 153374 vertices processed 25000 of 153374 vertices processed 50000 of 153374 vertices processed 75000 of 153374 vertices processed 100000 of 153374 vertices processed 125000 of 153374 vertices processed 150000 of 153374 vertices processed 0 of 153374 vertices processed 25000 of 153374 vertices processed 50000 of 153374 vertices processed 75000 of 153374 vertices processed 100000 of 153374 vertices processed 125000 of 153374 vertices processed 150000 of 153374 vertices processed thickness calculation complete, 147:448 truncations. 38638 vertices at 0 distance 115650 vertices at 1 distance 94149 vertices at 2 distance 32109 vertices at 3 distance 7928 vertices at 4 distance 1940 vertices at 5 distance 587 vertices at 6 distance 226 vertices at 7 distance 104 vertices at 8 distance 49 vertices at 9 distance 33 vertices at 10 distance 31 vertices at 11 distance 9 vertices at 12 distance 6 vertices at 13 distance 6 vertices at 14 distance 7 vertices at 15 distance 2 vertices at 16 distance 3 vertices at 17 distance 3 vertices at 18 distance 1 vertices at 19 distance 1 vertices at 20 distance writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.thickness positioning took 17.3 minutes @#@FSTIME 2017:01:19:20:15:29 mris_make_surfaces N 11 e 1040.93 S 4.49 U 1035.18 P 99% M 541764 F 0 R 1808837 W 0 c 1915 w 888 I 0 O 40128 L 3.13 3.15 3.07 @#@FSLOADPOST 2017:01:19:20:32:50 mris_make_surfaces N 11 3.04 3.04 3.02 #-------------------------------------------- #@# Make Pial Surf rh Thu Jan 19 20:32:50 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_make_surfaces -orig_white white.preaparc -orig_pial white.preaparc -aseg ../mri/aseg.presurf -mgz -T1 brain.finalsurfs 004 rh using white.preaparc starting white location... using white.preaparc starting pial locations... using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... 26531 bright wm thresholded. 5112 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.orig... computing class statistics... border white: 279852 voxels (1.67%) border gray 327594 voxels (1.95%) WM (96.0): 96.2 +- 9.5 [70.0 --> 110.0] GM (67.0) : 66.3 +- 11.0 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 52.0 (was 70) setting MAX_BORDER_WHITE to 110.5 (was 105) setting MIN_BORDER_WHITE to 63.0 (was 85) setting MAX_CSF to 41.0 (was 40) setting MAX_GRAY to 91.5 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 52.0 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 30.0 (was 40) using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=101+-8.7, GM=63+-7.8 mean inside = 90.1, mean outside = 69.7 smoothing surface for 5 iterations... reading initial white vertex positions from white.preaparc... reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.90 +- 0.26 (0.05-->3.83) (max @ vno 92283 --> 93457) face area 0.34 +- 0.16 (0.00-->3.18) mean absolute distance = 0.67 +- 0.91 2949 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... deleting segment 1 with 6 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 3 with 431 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 4 with 2 points - only 0.00% unknown deleting segment 5 with 24 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 7 with 11 points - only 0.00% unknown deleting segment 8 with 9 points - only 0.00% unknown deleting segment 9 with 5 points - only 0.00% unknown deleting segment 10 with 11 points - only 0.00% unknown deleting segment 11 with 47 points - only 0.00% unknown deleting segment 12 with 7 points - only 0.00% unknown mean border=74.6, 312 (309) missing vertices, mean dist 0.3 [1.4 (%11.4)->0.6 (%88.6))] %50 local maxima, %45 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 1 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.92 +- 0.27 (0.08-->4.21) (max @ vno 116257 --> 116234) face area 0.34 +- 0.17 (0.00-->2.92) mean absolute distance = 0.36 +- 0.64 3584 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=3031603.5, rms=8.919 001: dt: 0.5000, sse=1528866.1, rms=5.246 (41.185%) 002: dt: 0.5000, sse=1197571.8, rms=4.033 (23.119%) 003: dt: 0.5000, sse=1155187.2, rms=3.875 (3.920%) 004: dt: 0.5000, sse=1107530.5, rms=3.653 (5.727%) rms = 3.79, time step reduction 1 of 3 to 0.250... 005: dt: 0.2500, sse=932384.6, rms=2.644 (27.621%) 006: dt: 0.2500, sse=875238.8, rms=2.206 (16.562%) 007: dt: 0.2500, sse=857909.1, rms=2.057 (6.765%) rms = 2.02, time step reduction 2 of 3 to 0.125... 008: dt: 0.2500, sse=855239.4, rms=2.022 (1.674%) 009: dt: 0.1250, sse=845286.7, rms=1.934 (4.389%) rms = 1.92, time step reduction 3 of 3 to 0.062... 010: dt: 0.1250, sse=843518.4, rms=1.923 (0.542%) positioning took 1.3 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group deleting segment 0 with 2 points - only 0.00% unknown removing 1 vertex label from ripped group removing 2 vertex label from ripped group deleting segment 3 with 6 points - only 0.00% unknown deleting segment 4 with 184 points - only 0.00% unknown deleting segment 5 with 7 points - only 0.00% unknown removing 2 vertex label from ripped group removing 2 vertex label from ripped group deleting segment 7 with 2 points - only 0.00% unknown deleting segment 8 with 50 points - only 0.00% unknown deleting segment 9 with 5 points - only 0.00% unknown mean border=78.0, 135 (63) missing vertices, mean dist -0.2 [0.4 (%69.2)->0.2 (%30.8))] %66 local maxima, %29 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.91 +- 0.27 (0.08-->4.24) (max @ vno 116257 --> 116234) face area 0.36 +- 0.18 (0.00-->2.92) mean absolute distance = 0.28 +- 0.43 3614 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1429839.5, rms=4.744 011: dt: 0.5000, sse=1093375.1, rms=3.302 (30.409%) rms = 3.59, time step reduction 1 of 3 to 0.250... 012: dt: 0.2500, sse=951051.7, rms=2.446 (25.920%) 013: dt: 0.2500, sse=892969.4, rms=1.949 (20.313%) 014: dt: 0.2500, sse=866664.1, rms=1.748 (10.306%) 015: dt: 0.2500, sse=860776.8, rms=1.685 (3.582%) rms = 1.67, time step reduction 2 of 3 to 0.125... 016: dt: 0.2500, sse=859416.8, rms=1.667 (1.116%) 017: dt: 0.1250, sse=856486.0, rms=1.572 (5.677%) rms = 1.57, time step reduction 3 of 3 to 0.062... 018: dt: 0.1250, sse=850352.1, rms=1.570 (0.146%) positioning took 1.0 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group deleting segment 0 with 2 points - only 0.00% unknown deleting segment 2 with 11 points - only 0.00% unknown deleting segment 3 with 209 points - only 0.00% unknown deleting segment 4 with 13 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 6 with 5 points - only 0.00% unknown deleting segment 7 with 10 points - only 0.00% unknown deleting segment 8 with 60 points - only 0.00% unknown deleting segment 9 with 7 points - only 0.00% unknown mean border=80.9, 127 (28) missing vertices, mean dist -0.2 [0.3 (%69.0)->0.2 (%31.0))] %79 local maxima, %16 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.90 +- 0.26 (0.10-->4.21) (max @ vno 116257 --> 116234) face area 0.35 +- 0.17 (0.00-->2.86) mean absolute distance = 0.24 +- 0.35 3350 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1145239.6, rms=3.668 019: dt: 0.5000, sse=1061168.6, rms=3.209 (12.494%) rms = 3.53, time step reduction 1 of 3 to 0.250... 020: dt: 0.2500, sse=893431.9, rms=2.141 (33.276%) 021: dt: 0.2500, sse=844728.0, rms=1.692 (20.988%) 022: dt: 0.2500, sse=827537.5, rms=1.553 (8.231%) rms = 1.55, time step reduction 2 of 3 to 0.125... 023: dt: 0.2500, sse=827863.2, rms=1.550 (0.198%) 024: dt: 0.1250, sse=816070.1, rms=1.425 (8.035%) rms = 1.42, time step reduction 3 of 3 to 0.062... 025: dt: 0.1250, sse=815688.9, rms=1.423 (0.144%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 258 points - only 0.00% unknown deleting segment 1 with 15 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 3 with 6 points - only 0.00% unknown removing 3 vertex label from ripped group deleting segment 4 with 3 points - only 0.00% unknown deleting segment 5 with 11 points - only 0.00% unknown deleting segment 6 with 56 points - only 0.00% unknown deleting segment 7 with 7 points - only 0.00% unknown mean border=82.1, 130 (26) missing vertices, mean dist -0.1 [0.3 (%56.9)->0.2 (%43.1))] %84 local maxima, %11 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... writing smoothed curvature to rh.curv 000: dt: 0.0000, sse=855667.2, rms=1.970 rms = 2.37, time step reduction 1 of 3 to 0.250... 026: dt: 0.2500, sse=792941.8, rms=1.306 (33.677%) 027: dt: 0.2500, sse=775718.7, rms=1.036 (20.662%) rms = 1.06, time step reduction 2 of 3 to 0.125... rms = 1.03, time step reduction 3 of 3 to 0.062... 028: dt: 0.1250, sse=773775.6, rms=1.031 (0.484%) positioning took 0.5 minutes generating cortex label... 10 non-cortical segments detected only using segment with 9202 vertices erasing segment 1 (vno[0] = 55007) erasing segment 2 (vno[0] = 57303) erasing segment 3 (vno[0] = 82748) erasing segment 4 (vno[0] = 90100) erasing segment 5 (vno[0] = 91978) erasing segment 6 (vno[0] = 103811) erasing segment 7 (vno[0] = 108041) erasing segment 8 (vno[0] = 111737) erasing segment 9 (vno[0] = 118748) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.curv writing smoothed area to rh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.area vertex spacing 0.90 +- 0.27 (0.06-->4.22) (max @ vno 116234 --> 116257) face area 0.34 +- 0.17 (0.00-->2.99) repositioning cortical surface to gray/csf boundary. smoothing T1 volume with sigma = 2.000 averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group deleting segment 1 with 3 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 2 with 2 points - only 0.00% unknown smoothing surface for 5 iterations... reading initial pial vertex positions from white.preaparc... mean border=49.5, 290 (290) missing vertices, mean dist 2.0 [3.0 (%0.0)->2.5 (%100.0))] %17 local maxima, %59 large gradients and %19 min vals, 322 gradients ignored perforing initial smooth deformation to move away from white surface tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=32316434.0, rms=33.099 001: dt: 0.0500, sse=28391614.0, rms=30.974 (6.421%) 002: dt: 0.0500, sse=25548060.0, rms=29.338 (5.282%) 003: dt: 0.0500, sse=23365598.0, rms=28.018 (4.501%) 004: dt: 0.0500, sse=21607130.0, rms=26.906 (3.966%) 005: dt: 0.0500, sse=20138180.0, rms=25.942 (3.585%) 006: dt: 0.0500, sse=18874952.0, rms=25.082 (3.313%) 007: dt: 0.0500, sse=17764266.0, rms=24.302 (3.113%) 008: dt: 0.0500, sse=16771761.0, rms=23.582 (2.961%) 009: dt: 0.0500, sse=15873705.0, rms=22.912 (2.844%) 010: dt: 0.0500, sse=15053926.0, rms=22.282 (2.749%) positioning took 1.2 minutes mean border=49.4, 163 (128) missing vertices, mean dist 1.6 [0.3 (%0.0)->2.0 (%100.0))] %17 local maxima, %59 large gradients and %18 min vals, 294 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=15830862.0, rms=22.875 011: dt: 0.0500, sse=15072011.0, rms=22.293 (2.547%) 012: dt: 0.0500, sse=14371094.0, rms=21.740 (2.477%) 013: dt: 0.0500, sse=13721296.0, rms=21.216 (2.414%) 014: dt: 0.0500, sse=13116934.0, rms=20.716 (2.357%) 015: dt: 0.0500, sse=12553748.0, rms=20.238 (2.304%) 016: dt: 0.0500, sse=12029273.0, rms=19.784 (2.247%) 017: dt: 0.0500, sse=11539178.0, rms=19.349 (2.197%) 018: dt: 0.0500, sse=11081619.0, rms=18.934 (2.145%) 019: dt: 0.0500, sse=10653120.0, rms=18.537 (2.097%) 020: dt: 0.0500, sse=10252326.0, rms=18.157 (2.047%) positioning took 1.2 minutes mean border=49.2, 147 (84) missing vertices, mean dist 1.3 [0.1 (%0.9)->1.6 (%99.1))] %18 local maxima, %59 large gradients and %18 min vals, 274 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=10362381.0, rms=18.269 021: dt: 0.0500, sse=9976735.0, rms=17.899 (2.027%) 022: dt: 0.0500, sse=9616035.0, rms=17.545 (1.975%) 023: dt: 0.0500, sse=9275761.0, rms=17.205 (1.939%) 024: dt: 0.0500, sse=8958263.0, rms=16.881 (1.881%) 025: dt: 0.0500, sse=8661620.0, rms=16.573 (1.826%) 026: dt: 0.0500, sse=8383918.5, rms=16.279 (1.773%) 027: dt: 0.0500, sse=8120650.0, rms=15.996 (1.743%) 028: dt: 0.0500, sse=7868397.0, rms=15.719 (1.730%) 029: dt: 0.0500, sse=7627112.0, rms=15.449 (1.714%) 030: dt: 0.0500, sse=7396869.0, rms=15.188 (1.693%) positioning took 1.2 minutes mean border=49.1, 154 (67) missing vertices, mean dist 1.1 [0.1 (%9.4)->1.5 (%90.6))] %18 local maxima, %59 large gradients and %17 min vals, 292 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 1.000 averaging target values for 5 iterations... 000: dt: 0.0000, sse=7497709.0, rms=15.304 031: dt: 0.5000, sse=5849973.5, rms=13.303 (13.071%) 032: dt: 0.5000, sse=4730704.5, rms=11.743 (11.733%) 033: dt: 0.5000, sse=3872089.5, rms=10.393 (11.492%) 034: dt: 0.5000, sse=3225385.2, rms=9.234 (11.153%) 035: dt: 0.5000, sse=2733711.0, rms=8.251 (10.647%) 036: dt: 0.5000, sse=2365152.8, rms=7.422 (10.048%) 037: dt: 0.5000, sse=2101692.5, rms=6.773 (8.748%) 038: dt: 0.5000, sse=1921859.0, rms=6.285 (7.195%) 039: dt: 0.5000, sse=1802987.9, rms=5.946 (5.394%) 040: dt: 0.5000, sse=1726625.5, rms=5.709 (3.982%) 041: dt: 0.5000, sse=1671963.0, rms=5.542 (2.927%) 042: dt: 0.5000, sse=1637761.8, rms=5.426 (2.101%) 043: dt: 0.5000, sse=1615258.4, rms=5.356 (1.289%) 044: dt: 0.5000, sse=1599004.9, rms=5.296 (1.117%) rms = 5.25, time step reduction 1 of 3 to 0.250... 045: dt: 0.5000, sse=1584791.0, rms=5.253 (0.818%) 046: dt: 0.2500, sse=1440992.2, rms=4.694 (10.634%) 047: dt: 0.2500, sse=1397626.9, rms=4.530 (3.504%) rms = 4.53, time step reduction 2 of 3 to 0.125... 048: dt: 0.2500, sse=1398715.8, rms=4.529 (0.023%) 049: dt: 0.1250, sse=1373645.8, rms=4.426 (2.264%) rms = 4.41, time step reduction 3 of 3 to 0.062... 050: dt: 0.1250, sse=1369740.2, rms=4.410 (0.364%) positioning took 2.9 minutes mean border=47.4, 1477 (24) missing vertices, mean dist 0.2 [0.2 (%45.0)->0.6 (%55.0))] %34 local maxima, %45 large gradients and %15 min vals, 116 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=8, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1748427.8, rms=5.033 051: dt: 0.5000, sse=1596418.9, rms=4.474 (11.100%) 052: dt: 0.5000, sse=1565832.8, rms=4.400 (1.653%) rms = 4.40, time step reduction 1 of 3 to 0.250... 053: dt: 0.5000, sse=1564473.5, rms=4.396 (0.095%) 054: dt: 0.2500, sse=1378385.5, rms=3.512 (20.106%) 055: dt: 0.2500, sse=1331084.2, rms=3.269 (6.938%) rms = 3.25, time step reduction 2 of 3 to 0.125... 056: dt: 0.2500, sse=1327778.9, rms=3.248 (0.628%) 057: dt: 0.1250, sse=1297050.9, rms=3.069 (5.513%) rms = 3.04, time step reduction 3 of 3 to 0.062... 058: dt: 0.1250, sse=1291634.4, rms=3.039 (0.965%) positioning took 1.2 minutes mean border=46.0, 1723 (14) missing vertices, mean dist 0.1 [0.2 (%46.8)->0.4 (%53.2))] %50 local maxima, %29 large gradients and %14 min vals, 123 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=4, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1420238.2, rms=3.652 rms = 3.97, time step reduction 1 of 3 to 0.250... 059: dt: 0.2500, sse=1346066.9, rms=3.271 (10.443%) 060: dt: 0.2500, sse=1317902.1, rms=3.115 (4.760%) rms = 3.07, time step reduction 2 of 3 to 0.125... 061: dt: 0.2500, sse=1308076.2, rms=3.072 (1.390%) 062: dt: 0.1250, sse=1289926.1, rms=2.960 (3.616%) rms = 2.94, time step reduction 3 of 3 to 0.062... 063: dt: 0.1250, sse=1285593.1, rms=2.938 (0.772%) positioning took 0.9 minutes mean border=45.2, 2736 (12) missing vertices, mean dist 0.1 [0.2 (%48.2)->0.3 (%51.8))] %56 local maxima, %24 large gradients and %14 min vals, 126 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=2, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing pial surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... writing smoothed curvature to rh.curv.pial 000: dt: 0.0000, sse=1322969.5, rms=3.143 rms = 3.62, time step reduction 1 of 3 to 0.250... 064: dt: 0.2500, sse=1290160.4, rms=2.949 (6.169%) 065: dt: 0.2500, sse=1276489.8, rms=2.880 (2.349%) rms = 2.87, time step reduction 2 of 3 to 0.125... 066: dt: 0.2500, sse=1273160.0, rms=2.870 (0.350%) 067: dt: 0.1250, sse=1254870.6, rms=2.754 (4.035%) rms = 2.73, time step reduction 3 of 3 to 0.062... 068: dt: 0.1250, sse=1250425.5, rms=2.730 (0.850%) positioning took 0.9 minutes writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.curv.pial writing smoothed area to rh.area.pial writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.area.pial vertex spacing 1.02 +- 0.45 (0.07-->6.60) (max @ vno 101426 --> 100233) face area 0.41 +- 0.33 (0.00-->6.13) measuring cortical thickness... writing cortical thickness estimate to 'thickness' file. 0 of 152106 vertices processed 25000 of 152106 vertices processed 50000 of 152106 vertices processed 75000 of 152106 vertices processed 100000 of 152106 vertices processed 125000 of 152106 vertices processed 150000 of 152106 vertices processed 0 of 152106 vertices processed 25000 of 152106 vertices processed 50000 of 152106 vertices processed 75000 of 152106 vertices processed 100000 of 152106 vertices processed 125000 of 152106 vertices processed 150000 of 152106 vertices processed thickness calculation complete, 194:503 truncations. 34274 vertices at 0 distance 110020 vertices at 1 distance 95344 vertices at 2 distance 35780 vertices at 3 distance 9477 vertices at 4 distance 2454 vertices at 5 distance 786 vertices at 6 distance 323 vertices at 7 distance 165 vertices at 8 distance 66 vertices at 9 distance 41 vertices at 10 distance 37 vertices at 11 distance 16 vertices at 12 distance 10 vertices at 13 distance 15 vertices at 14 distance 17 vertices at 15 distance 12 vertices at 16 distance 3 vertices at 17 distance 1 vertices at 18 distance 5 vertices at 19 distance 6 vertices at 20 distance writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.thickness positioning took 18.0 minutes @#@FSTIME 2017:01:19:20:32:50 mris_make_surfaces N 11 e 1082.94 S 5.25 U 1076.31 P 99% M 539064 F 0 R 1792092 W 0 c 1787 w 820 I 0 O 39504 L 3.04 3.04 3.02 @#@FSLOADPOST 2017:01:19:20:50:53 mris_make_surfaces N 11 3.05 3.05 3.00 #-------------------------------------------- #@# Surf Volume lh Thu Jan 19 20:50:53 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf mris_calc -o lh.area.mid lh.area add lh.area.pial Saving result to 'lh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_calc -o lh.area.mid lh.area.mid div 2 Saving result to 'lh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_convert --volume 004 lh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.volume masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.cortex.label Total face volume 262929 Total vertex volume 259358 (mask=0) #@# 004 lh 259358 vertexvol Done @#@FSTIME 2017:01:19:20:50:53 vertexvol N 4 e 5.46 S 0.28 U 4.56 P 88% M 397232 F 0 R 56638 W 0 c 70 w 294 I 0 O 3600 L 3.05 3.05 3.00 @#@FSLOADPOST 2017:01:19:20:50:59 vertexvol N 4 3.05 3.05 3.00 #-------------------------------------------- #@# Surf Volume rh Thu Jan 19 20:50:59 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf mris_calc -o rh.area.mid rh.area add rh.area.pial Saving result to 'rh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_calc -o rh.area.mid rh.area.mid div 2 Saving result to 'rh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_convert --volume 004 rh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.volume masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.cortex.label Total face volume 262977 Total vertex volume 258674 (mask=0) #@# 004 rh 258674 vertexvol Done @#@FSTIME 2017:01:19:20:50:59 vertexvol N 4 e 5.34 S 0.26 U 4.53 P 89% M 393920 F 0 R 55804 W 0 c 69 w 273 I 0 O 3576 L 3.05 3.05 3.00 @#@FSLOADPOST 2017:01:19:20:51:04 vertexvol N 4 3.04 3.05 3.00 #-------------------------------------------- #@# Cortical ribbon mask Thu Jan 19 20:51:04 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mris_volmask --aseg_name aseg.presurf --label_left_white 2 --label_left_ribbon 3 --label_right_white 41 --label_right_ribbon 42 --save_ribbon 004 SUBJECTS_DIR is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 loading input data... computing distance to left white surface computing distance to left pial surface computing distance to right white surface computing distance to right pial surface hemi masks overlap voxels = 52 writing volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/ribbon.mgz mris_volmask took 22.80 minutes writing ribbon files @#@FSTIME 2017:01:19:20:51:04 mris_volmask N 12 e 1368.17 S 0.95 U 1366.57 P 99% M 1109404 F 0 R 281840 W 0 c 1497 w 185 I 0 O 976 L 3.04 3.05 3.00 @#@FSLOADPOST 2017:01:19:21:13:53 mris_volmask N 12 3.00 3.01 3.00 #----------------------------------------- #@# Parcellation Stats lh Thu Jan 19 21:13:53 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.stats -b -a ../label/lh.aparc.annot -c ../label/aparc.annot.ctab 004 lh white computing statistics for each annotation in ../label/lh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262929 Total vertex volume 259358 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1549 1071 2450 2.312 0.392 0.117 0.027 15 1.7 bankssts 1313 872 2385 2.418 0.765 0.138 0.034 28 1.6 caudalanteriorcingulate 3199 2130 5942 2.510 0.511 0.123 0.031 36 4.1 caudalmiddlefrontal 2562 1649 3157 1.821 0.381 0.144 0.039 40 3.8 cuneus 563 426 1731 3.091 0.584 0.121 0.034 5 0.7 entorhinal 5047 3596 10285 2.434 0.620 0.133 0.035 70 7.3 fusiform 8042 5545 13455 2.215 0.455 0.132 0.032 110 10.7 inferiorparietal 5102 3673 11404 2.493 0.650 0.144 0.040 94 8.6 inferiortemporal 1907 1224 3105 2.256 0.724 0.119 0.035 25 2.2 isthmuscingulate 9205 6257 14885 2.136 0.472 0.147 0.039 137 14.9 lateraloccipital 4222 2946 8332 2.471 0.591 0.155 0.046 70 7.8 lateralorbitofrontal 5486 3753 8138 1.959 0.510 0.141 0.037 85 8.2 lingual 3093 2128 5805 2.319 0.709 0.112 0.030 36 3.4 medialorbitofrontal 4376 3078 10128 2.614 0.584 0.142 0.039 74 6.7 middletemporal 1032 702 1844 2.259 0.592 0.089 0.018 5 0.7 parahippocampal 2307 1446 3756 2.345 0.569 0.110 0.027 20 2.5 paracentral 2650 1792 5514 2.576 0.543 0.121 0.030 30 3.1 parsopercularis 1057 727 2286 2.532 0.657 0.143 0.038 16 1.6 parsorbitalis 2141 1459 3940 2.356 0.500 0.127 0.032 27 2.7 parstriangularis 2548 1712 2721 1.691 0.391 0.130 0.033 30 3.2 pericalcarine 6544 4316 9705 2.032 0.557 0.119 0.029 75 7.4 postcentral 2226 1523 3741 2.217 0.636 0.136 0.027 34 2.3 posteriorcingulate 8389 5216 14323 2.494 0.559 0.112 0.033 93 10.9 precentral 6696 4580 11104 2.280 0.484 0.135 0.034 91 9.3 precuneus 1561 1039 3180 2.637 0.768 0.139 0.046 32 2.8 rostralanteriorcingulate 9595 6816 18338 2.347 0.549 0.144 0.040 156 15.6 rostralmiddlefrontal 11421 7851 23492 2.576 0.597 0.123 0.031 130 14.4 superiorfrontal 9669 6435 15365 2.145 0.455 0.131 0.031 122 12.2 superiorparietal 6366 4317 12330 2.537 0.584 0.115 0.027 67 7.0 superiortemporal 7067 4902 13057 2.359 0.519 0.137 0.036 105 10.0 supramarginal 377 281 1012 2.596 0.581 0.184 0.062 8 0.9 frontalpole 780 551 2657 3.345 0.722 0.139 0.034 10 1.2 temporalpole 1058 585 1477 2.227 0.369 0.116 0.052 15 2.2 transversetemporal 4540 3011 8276 2.721 0.806 0.126 0.041 53 7.9 insula @#@FSTIME 2017:01:19:21:13:53 mris_anatomical_stats N 14 e 48.02 S 0.48 U 46.72 P 98% M 610704 F 0 R 83972 W 0 c 57 w 322 I 0 O 296 L 3.00 3.01 3.00 @#@FSLOADPOST 2017:01:19:21:14:41 mris_anatomical_stats N 14 3.00 3.01 3.00 mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.pial.stats -b -a ../label/lh.aparc.annot -c ../label/aparc.annot.ctab 004 lh pial computing statistics for each annotation in ../label/lh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262929 Total vertex volume 259358 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1549 1037 2450 2.312 0.392 0.144 0.039 27 2.8 bankssts 1313 1092 2385 2.418 0.765 0.163 0.046 43 2.5 caudalanteriorcingulate 3199 2518 5942 2.510 0.511 0.131 0.031 40 4.5 caudalmiddlefrontal 2562 1937 3157 1.821 0.381 0.141 0.035 37 4.0 cuneus 563 733 1731 3.091 0.584 0.175 0.033 5 0.9 entorhinal 5047 4637 10285 2.434 0.620 0.174 0.046 100 11.6 fusiform 8042 6543 13455 2.215 0.455 0.152 0.033 106 12.0 inferiorparietal 5102 5149 11404 2.493 0.650 0.186 0.045 83 11.0 inferiortemporal 1907 1496 3105 2.256 0.724 0.158 0.045 37 3.8 isthmuscingulate 9205 7681 14885 2.136 0.472 0.159 0.042 145 17.0 lateraloccipital 4222 3757 8332 2.471 0.591 0.185 0.055 116 10.9 lateralorbitofrontal 5486 4607 8138 1.959 0.510 0.156 0.040 84 9.9 lingual 3093 2900 5805 2.319 0.709 0.158 0.038 43 4.9 medialorbitofrontal 4376 4448 10128 2.614 0.584 0.176 0.041 69 8.2 middletemporal 1032 960 1844 2.259 0.592 0.129 0.027 6 1.3 parahippocampal 2307 1733 3756 2.345 0.569 0.114 0.022 18 2.2 paracentral 2650 2399 5514 2.576 0.543 0.152 0.032 31 3.8 parsopercularis 1057 1048 2286 2.532 0.657 0.175 0.039 15 1.9 parsorbitalis 2141 1855 3940 2.356 0.500 0.159 0.033 29 3.3 parstriangularis 2548 1562 2721 1.691 0.391 0.127 0.034 36 3.6 pericalcarine 6544 5265 9705 2.032 0.557 0.129 0.025 62 7.0 postcentral 2226 1795 3741 2.217 0.636 0.156 0.038 58 3.6 posteriorcingulate 8389 5964 14323 2.494 0.559 0.110 0.026 87 8.7 precentral 6696 5161 11104 2.280 0.484 0.151 0.038 119 11.5 precuneus 1561 1472 3180 2.637 0.768 0.197 0.058 33 4.1 rostralanteriorcingulate 9595 8665 18338 2.347 0.549 0.171 0.038 137 17.1 rostralmiddlefrontal 11421 9787 23492 2.576 0.597 0.142 0.032 148 15.6 superiorfrontal 9669 7741 15365 2.145 0.455 0.145 0.031 118 12.9 superiorparietal 6366 5250 12330 2.537 0.584 0.144 0.034 81 9.8 superiortemporal 7067 5876 13057 2.359 0.519 0.146 0.033 87 9.8 supramarginal 377 480 1012 2.596 0.581 0.240 0.041 6 0.7 frontalpole 780 1019 2657 3.345 0.722 0.193 0.038 8 1.4 temporalpole 1058 766 1477 2.227 0.369 0.114 0.032 8 1.4 transversetemporal 4540 2956 8276 2.721 0.806 0.136 0.040 75 7.8 insula @#@FSTIME 2017:01:19:21:14:41 mris_anatomical_stats N 14 e 46.12 S 0.42 U 44.86 P 98% M 610692 F 0 R 82246 W 0 c 50 w 329 I 0 O 296 L 3.00 3.01 3.00 @#@FSLOADPOST 2017:01:19:21:15:27 mris_anatomical_stats N 14 3.00 3.00 3.00 #----------------------------------------- #@# Parcellation Stats rh Thu Jan 19 21:15:27 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.stats -b -a ../label/rh.aparc.annot -c ../label/aparc.annot.ctab 004 rh white computing statistics for each annotation in ../label/rh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262977 Total vertex volume 258674 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1542 1062 2509 2.324 0.460 0.108 0.024 15 1.4 bankssts 1293 851 2599 2.475 0.833 0.137 0.031 22 1.7 caudalanteriorcingulate 3287 2225 6098 2.506 0.427 0.128 0.033 38 4.3 caudalmiddlefrontal 2528 1668 3470 1.953 0.438 0.149 0.040 40 4.1 cuneus 646 473 1796 2.820 0.826 0.125 0.027 6 0.7 entorhinal 4048 2853 7672 2.370 0.609 0.140 0.037 67 5.9 fusiform 9481 6506 16909 2.331 0.488 0.138 0.035 148 13.6 inferiorparietal 5244 3662 11352 2.466 0.709 0.143 0.043 94 9.9 inferiortemporal 1616 1030 2808 2.517 0.797 0.126 0.032 22 1.7 isthmuscingulate 8999 5950 14460 2.170 0.481 0.149 0.044 149 15.2 lateraloccipital 4309 3055 8485 2.524 0.620 0.141 0.042 69 7.7 lateralorbitofrontal 5641 3834 8294 1.957 0.515 0.146 0.039 90 8.9 lingual 3273 2343 6157 2.268 0.617 0.133 0.036 59 4.3 medialorbitofrontal 5782 4054 13144 2.612 0.641 0.134 0.038 89 9.1 middletemporal 1034 718 2383 2.596 0.941 0.111 0.024 10 1.0 parahippocampal 2783 1780 4476 2.339 0.514 0.120 0.034 33 3.8 paracentral 2440 1712 4923 2.507 0.476 0.120 0.031 29 2.9 parsopercularis 1230 876 2694 2.490 0.612 0.143 0.034 19 1.6 parsorbitalis 2752 1960 5398 2.384 0.494 0.140 0.038 41 4.1 parstriangularis 2526 1700 2537 1.648 0.420 0.134 0.035 31 3.7 pericalcarine 6237 3972 8813 2.007 0.544 0.112 0.030 66 7.0 postcentral 2252 1535 4354 2.330 0.729 0.136 0.030 34 2.9 posteriorcingulate 7729 4881 13080 2.448 0.535 0.118 0.034 85 10.9 precentral 6325 4259 10889 2.412 0.574 0.137 0.034 84 8.5 precuneus 964 651 2248 3.061 0.761 0.143 0.035 16 1.2 rostralanteriorcingulate 9656 6751 17788 2.281 0.557 0.143 0.038 162 15.4 rostralmiddlefrontal 11580 7935 23493 2.552 0.572 0.127 0.032 140 14.8 superiorfrontal 9251 6374 15555 2.219 0.456 0.139 0.036 137 12.8 superiorparietal 6252 4089 12430 2.666 0.589 0.107 0.025 58 6.0 superiortemporal 5848 3878 9670 2.334 0.502 0.132 0.035 73 8.5 supramarginal 502 355 1024 2.363 0.575 0.169 0.043 11 1.0 frontalpole 642 493 2350 3.530 0.755 0.135 0.039 9 1.0 temporalpole 651 336 896 2.298 0.414 0.092 0.030 6 0.7 transversetemporal 3954 2633 7889 2.806 0.836 0.128 0.050 54 8.0 insula @#@FSTIME 2017:01:19:21:15:27 mris_anatomical_stats N 14 e 44.72 S 0.43 U 43.47 P 98% M 605692 F 0 R 82200 W 0 c 48 w 320 I 0 O 296 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:16:12 mris_anatomical_stats N 14 3.00 3.00 3.00 mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.pial.stats -b -a ../label/rh.aparc.annot -c ../label/aparc.annot.ctab 004 rh pial computing statistics for each annotation in ../label/rh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262977 Total vertex volume 258674 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1542 1086 2509 2.324 0.460 0.144 0.038 21 2.6 bankssts 1293 1145 2599 2.475 0.833 0.171 0.046 31 2.4 caudalanteriorcingulate 3287 2566 6098 2.506 0.427 0.139 0.032 44 4.4 caudalmiddlefrontal 2528 1967 3470 1.953 0.438 0.143 0.039 40 4.3 cuneus 646 746 1796 2.820 0.826 0.176 0.038 8 1.1 entorhinal 4048 3682 7672 2.370 0.609 0.170 0.044 67 8.2 fusiform 9481 7783 16909 2.331 0.488 0.150 0.034 122 14.1 inferiorparietal 5244 5337 11352 2.466 0.709 0.188 0.048 82 12.0 inferiortemporal 1616 1259 2808 2.517 0.797 0.170 0.051 76 3.2 isthmuscingulate 8999 7251 14460 2.170 0.481 0.153 0.041 136 15.8 lateraloccipital 4309 3747 8485 2.524 0.620 0.169 0.044 79 8.5 lateralorbitofrontal 5641 4679 8294 1.957 0.515 0.155 0.039 94 9.6 lingual 3273 3053 6157 2.268 0.617 0.171 0.041 51 6.0 medialorbitofrontal 5782 5787 13144 2.612 0.641 0.179 0.041 85 11.3 middletemporal 1034 1035 2383 2.596 0.941 0.166 0.036 13 1.8 parahippocampal 2783 2011 4476 2.339 0.514 0.122 0.029 31 3.4 paracentral 2440 2156 4923 2.507 0.476 0.151 0.037 31 3.9 parsopercularis 1230 1264 2694 2.490 0.612 0.173 0.037 17 2.1 parsorbitalis 2752 2533 5398 2.384 0.494 0.169 0.040 37 5.0 parstriangularis 2526 1499 2537 1.648 0.420 0.116 0.033 38 3.2 pericalcarine 6237 4789 8813 2.007 0.544 0.123 0.024 55 6.3 postcentral 2252 2027 4354 2.330 0.729 0.167 0.037 43 3.9 posteriorcingulate 7729 5547 13080 2.448 0.535 0.117 0.025 93 8.3 precentral 6325 4673 10889 2.412 0.574 0.142 0.038 92 10.1 precuneus 964 835 2248 3.061 0.761 0.170 0.050 18 2.2 rostralanteriorcingulate 9656 8655 17788 2.281 0.557 0.170 0.038 170 17.5 rostralmiddlefrontal 11580 9939 23493 2.552 0.572 0.145 0.033 148 16.1 superiorfrontal 9251 7512 15555 2.219 0.456 0.150 0.033 130 13.2 superiorparietal 6252 5186 12430 2.666 0.589 0.138 0.032 74 8.7 superiortemporal 5848 4322 9670 2.334 0.502 0.142 0.035 81 8.8 supramarginal 502 485 1024 2.363 0.575 0.196 0.044 6 1.1 frontalpole 642 829 2350 3.530 0.755 0.203 0.043 7 1.3 temporalpole 651 449 896 2.298 0.414 0.114 0.026 4 0.7 transversetemporal 3954 2800 7889 2.806 0.836 0.158 0.062 139 9.3 insula @#@FSTIME 2017:01:19:21:16:12 mris_anatomical_stats N 14 e 44.45 S 0.31 U 43.34 P 98% M 605692 F 0 R 82408 W 0 c 48 w 318 I 0 O 296 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:16:57 mris_anatomical_stats N 14 3.00 3.00 3.00 #----------------------------------------- #@# Cortical Parc 2 lh Thu Jan 19 21:16:57 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 004 lh ../surf/lh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/lh.aparc.a2009s.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 2.9 using min determinant for regularization = 0.086 0 singular and 762 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 30 labels changed using aseg relabeling using gibbs priors... 000: 10046 changed, 153374 examined... 001: 2372 changed, 39102 examined... 002: 716 changed, 12247 examined... 003: 287 changed, 4115 examined... 004: 119 changed, 1608 examined... 005: 67 changed, 717 examined... 006: 36 changed, 350 examined... 007: 15 changed, 200 examined... 008: 8 changed, 85 examined... 009: 7 changed, 45 examined... 010: 2 changed, 33 examined... 011: 3 changed, 14 examined... 012: 1 changed, 13 examined... 013: 0 changed, 7 examined... 7 labels changed using aseg 000: 300 total segments, 214 labels (2403 vertices) changed 001: 98 total segments, 13 labels (293 vertices) changed 002: 86 total segments, 1 labels (2 vertices) changed 003: 85 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 42 changed) rationalizing unknown annotations with cortex label relabeling Medial_wall label... 1394 vertices marked for relabeling... 1394 labels changed in reclassification. writing output to ../label/lh.aparc.a2009s.annot... classification took 0 minutes and 24 seconds. @#@FSTIME 2017:01:19:21:16:57 mris_ca_label N 11 e 23.94 S 0.38 U 23.37 P 99% M 632672 F 0 R 98940 W 0 c 64 w 93 I 0 O 2408 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:17:21 mris_ca_label N 11 3.00 3.00 3.00 #----------------------------------------- #@# Cortical Parc 2 rh Thu Jan 19 21:17:21 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 004 rh ../surf/rh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/rh.aparc.a2009s.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 1.4 using min determinant for regularization = 0.020 0 singular and 719 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 6 labels changed using aseg relabeling using gibbs priors... 000: 9720 changed, 152106 examined... 001: 2272 changed, 38415 examined... 002: 695 changed, 12175 examined... 003: 293 changed, 3953 examined... 004: 123 changed, 1670 examined... 005: 53 changed, 672 examined... 006: 26 changed, 303 examined... 007: 15 changed, 135 examined... 008: 12 changed, 100 examined... 009: 7 changed, 69 examined... 010: 7 changed, 38 examined... 011: 5 changed, 37 examined... 012: 1 changed, 23 examined... 013: 0 changed, 5 examined... 10 labels changed using aseg 000: 267 total segments, 175 labels (2445 vertices) changed 001: 96 total segments, 4 labels (24 vertices) changed 002: 92 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 46 changed) rationalizing unknown annotations with cortex label relabeling Medial_wall label... 1001 vertices marked for relabeling... 1001 labels changed in reclassification. writing output to ../label/rh.aparc.a2009s.annot... classification took 0 minutes and 24 seconds. @#@FSTIME 2017:01:19:21:17:21 mris_ca_label N 11 e 23.95 S 0.39 U 23.36 P 99% M 616000 F 0 R 93523 W 0 c 64 w 115 I 0 O 2384 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:17:45 mris_ca_label N 11 3.00 3.00 3.00 #----------------------------------------- #@# Parcellation Stats 2 lh Thu Jan 19 21:17:45 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.a2009s.stats -b -a ../label/lh.aparc.a2009s.annot -c ../label/aparc.annot.a2009s.ctab 004 lh white computing statistics for each annotation in ../label/lh.aparc.a2009s.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262929 Total vertex volume 259358 (mask=0) reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Saving annotation colortable ../label/aparc.annot.a2009s.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1517 1086 2932 2.256 0.620 0.153 0.044 24 3.0 G&S_frontomargin 2124 1405 3787 2.278 0.526 0.140 0.034 30 2.9 G&S_occipital_inf 1850 1088 3208 2.409 0.570 0.121 0.036 30 2.5 G&S_paracentral 1557 1052 2967 2.488 0.469 0.139 0.035 25 2.1 G&S_subcentral 847 605 2130 2.620 0.548 0.172 0.057 19 1.8 G&S_transv_frontopol 2638 1831 5138 2.511 0.556 0.126 0.036 34 3.7 G&S_cingul-Ant 1642 1128 2776 2.389 0.567 0.113 0.029 22 1.7 G&S_cingul-Mid-Ant 1507 1043 2672 2.379 0.485 0.132 0.026 18 1.5 G&S_cingul-Mid-Post 878 571 2126 2.636 0.585 0.145 0.044 18 1.5 G_cingul-Post-dorsal 396 266 874 2.661 0.739 0.130 0.043 6 0.5 G_cingul-Post-ventral 2565 1619 3414 1.828 0.430 0.147 0.044 46 4.3 G_cuneus 1607 1075 4071 2.786 0.555 0.134 0.035 23 2.3 G_front_inf-Opercular 377 243 948 2.684 0.364 0.154 0.044 8 0.5 G_front_inf-Orbital 1274 843 2852 2.547 0.432 0.149 0.043 25 2.1 G_front_inf-Triangul 5049 3472 11557 2.565 0.565 0.153 0.046 101 9.0 G_front_middle 7846 5326 17956 2.673 0.616 0.130 0.035 106 11.2 G_front_sup 927 626 1866 2.932 0.828 0.157 0.063 14 2.5 G_Ins_lg&S_cent_ins 963 593 2380 3.081 0.749 0.132 0.047 17 1.6 G_insular_short 2313 1512 4775 2.415 0.407 0.151 0.043 45 4.0 G_occipital_middle 1788 1203 2686 1.990 0.393 0.152 0.040 29 2.7 G_occipital_sup 2446 1701 5612 2.607 0.579 0.141 0.040 43 4.0 G_oc-temp_lat-fusifor 3832 2510 6055 2.012 0.528 0.152 0.043 67 6.7 G_oc-temp_med-Lingual 1318 891 3197 2.747 0.766 0.108 0.029 12 1.3 G_oc-temp_med-Parahip 2654 1857 6384 2.636 0.651 0.163 0.049 54 5.2 G_orbital 2611 1818 5054 2.273 0.503 0.156 0.045 49 5.1 G_pariet_inf-Angular 3710 2606 8229 2.520 0.547 0.144 0.039 66 5.4 G_pariet_inf-Supramar 3340 2220 6210 2.253 0.476 0.137 0.033 52 4.6 G_parietal_sup 2491 1540 4076 2.112 0.530 0.122 0.030 35 3.0 G_postcentral 3167 1805 6561 2.752 0.559 0.123 0.045 52 5.4 G_precentral 3637 2437 7213 2.452 0.464 0.150 0.043 68 6.3 G_precuneus 1122 809 2631 2.373 0.654 0.133 0.045 19 2.0 G_rectus 828 513 1480 2.706 0.936 0.092 0.034 9 0.9 G_subcallosal 805 456 1242 2.218 0.340 0.106 0.038 10 1.0 G_temp_sup-G_T_transv 2201 1488 5513 2.764 0.550 0.147 0.041 39 3.6 G_temp_sup-Lateral 730 532 1891 3.192 0.759 0.099 0.022 4 0.7 G_temp_sup-Plan_polar 1325 888 2445 2.417 0.447 0.107 0.026 13 1.3 G_temp_sup-Plan_tempo 2851 2039 7440 2.626 0.668 0.159 0.051 70 6.5 G_temporal_inf 2416 1660 6660 2.814 0.552 0.154 0.048 58 4.3 G_temporal_middle 398 275 511 1.960 0.405 0.098 0.018 2 0.3 Lat_Fis-ant-Horizont 386 279 593 2.389 0.442 0.091 0.024 1 0.3 Lat_Fis-ant-Vertical 1453 932 1761 2.211 0.466 0.116 0.038 14 2.4 Lat_Fis-post 2717 1897 4586 2.092 0.542 0.167 0.050 50 5.8 Pole_occipital 1643 1197 5200 3.023 0.727 0.153 0.045 30 2.8 Pole_temporal 2968 2105 3379 1.801 0.490 0.130 0.032 34 3.5 S_calcarine 3834 2560 4338 1.900 0.489 0.100 0.023 20 3.8 S_central 1268 870 1732 2.117 0.479 0.094 0.019 6 0.9 S_cingul-Marginalis 653 437 952 2.420 0.405 0.117 0.036 6 0.9 S_circular_insula_ant 1761 1193 2629 2.481 0.659 0.102 0.021 9 1.8 S_circular_insula_inf 1945 1328 2657 2.361 0.470 0.113 0.033 12 3.0 S_circular_insula_sup 994 701 1457 2.265 0.500 0.112 0.019 6 0.8 S_collat_transv_ant 688 469 839 1.893 0.402 0.127 0.030 6 0.8 S_collat_transv_post 2353 1644 3416 2.195 0.412 0.123 0.027 20 2.5 S_front_inf 1835 1337 2859 2.200 0.454 0.129 0.031 21 2.3 S_front_middle 2689 1881 4397 2.367 0.513 0.110 0.024 24 2.7 S_front_sup 557 388 956 2.285 0.523 0.121 0.032 7 0.6 S_interm_prim-Jensen 4063 2736 5748 2.123 0.422 0.121 0.025 42 4.3 S_intrapariet&P_trans 1518 1055 1830 1.928 0.327 0.119 0.028 10 1.9 S_oc_middle&Lunatus 1627 1103 2069 2.072 0.349 0.129 0.029 16 2.0 S_oc_sup&transversal 909 625 1407 2.193 0.340 0.126 0.028 10 1.1 S_occipital_ant 676 506 1099 2.192 0.569 0.116 0.023 4 0.7 S_oc-temp_lat 2236 1690 3095 1.988 0.476 0.116 0.023 17 2.2 S_oc-temp_med&Lingual 337 235 503 2.425 0.411 0.118 0.022 2 0.3 S_orbital_lateral 685 477 800 1.802 0.659 0.118 0.021 5 0.7 S_orbital_med-olfact 1600 1113 2811 2.381 0.552 0.141 0.036 20 2.3 S_orbital-H_Shaped 2164 1454 2722 2.071 0.454 0.124 0.026 21 2.2 S_parieto_occipital 1814 1105 1617 1.922 0.828 0.119 0.023 32 1.4 S_pericallosal 3195 2168 4194 2.060 0.452 0.117 0.025 26 3.2 S_postcentral 1541 1055 2424 2.401 0.360 0.101 0.021 9 1.3 S_precentral-inf-part 1334 924 2017 2.348 0.480 0.103 0.022 7 1.2 S_precentral-sup-part 837 586 1081 2.105 0.431 0.110 0.016 5 0.6 S_suborbital 1314 920 1924 2.129 0.364 0.129 0.029 11 1.6 S_subparietal 1770 1292 2726 2.137 0.494 0.122 0.024 16 1.8 S_temporal_inf 6344 4420 9534 2.216 0.423 0.116 0.024 59 6.4 S_temporal_sup 447 298 486 2.037 0.397 0.101 0.017 2 0.3 S_temporal_transverse @#@FSTIME 2017:01:19:21:17:45 mris_anatomical_stats N 14 e 53.27 S 0.39 U 51.75 P 97% M 610704 F 0 R 82294 W 0 c 61 w 441 I 0 O 632 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:18:38 mris_anatomical_stats N 14 3.00 3.00 3.00 #----------------------------------------- #@# Parcellation Stats 2 rh Thu Jan 19 21:18:38 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.a2009s.stats -b -a ../label/rh.aparc.a2009s.annot -c ../label/aparc.annot.a2009s.ctab 004 rh white computing statistics for each annotation in ../label/rh.aparc.a2009s.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262977 Total vertex volume 258674 (mask=0) reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Saving annotation colortable ../label/aparc.annot.a2009s.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1070 746 1953 2.308 0.560 0.149 0.043 18 2.1 G&S_frontomargin 1689 1135 2909 2.277 0.489 0.155 0.041 32 2.9 G&S_occipital_inf 1819 1156 2889 2.149 0.470 0.134 0.048 29 3.6 G&S_paracentral 1264 853 2476 2.563 0.462 0.139 0.034 17 1.7 G&S_subcentral 1273 921 2800 2.407 0.581 0.167 0.050 31 3.0 G&S_transv_frontopol 3527 2472 6765 2.505 0.645 0.127 0.030 45 4.2 G&S_cingul-Ant 1645 1107 3209 2.570 0.624 0.121 0.027 18 1.8 G&S_cingul-Mid-Ant 1590 1099 2972 2.418 0.564 0.123 0.030 17 1.8 G&S_cingul-Mid-Post 799 519 1988 2.674 0.587 0.154 0.040 16 1.3 G_cingul-Post-dorsal 397 254 956 2.886 0.677 0.140 0.037 6 0.6 G_cingul-Post-ventral 2398 1569 3275 1.880 0.439 0.153 0.045 43 4.3 G_cuneus 1632 1098 3673 2.608 0.483 0.134 0.042 30 2.6 G_front_inf-Opercular 295 193 736 2.833 0.492 0.153 0.039 5 0.4 G_front_inf-Orbital 1424 1016 3102 2.442 0.459 0.162 0.050 28 2.9 G_front_inf-Triangul 4489 3075 10452 2.534 0.554 0.158 0.048 99 8.3 G_front_middle 7676 5157 17769 2.698 0.584 0.138 0.038 125 11.3 G_front_sup 1143 796 2375 2.963 0.851 0.150 0.075 19 4.0 G_Ins_lg&S_cent_ins 743 460 2151 3.022 0.791 0.146 0.051 16 1.3 G_insular_short 2751 1891 6061 2.459 0.517 0.159 0.049 61 5.0 G_occipital_middle 1727 1158 2997 2.139 0.525 0.150 0.037 29 2.4 G_occipital_sup 1546 1044 3696 2.642 0.540 0.142 0.041 34 2.5 G_oc-temp_lat-fusifor 3571 2378 5656 1.984 0.554 0.149 0.040 61 5.4 G_oc-temp_med-Lingual 1460 998 4471 3.086 0.879 0.124 0.033 19 1.8 G_oc-temp_med-Parahip 2815 2027 7123 2.641 0.620 0.148 0.044 58 4.9 G_orbital 3688 2539 8447 2.510 0.496 0.160 0.046 85 6.8 G_pariet_inf-Angular 2684 1711 5222 2.551 0.550 0.139 0.042 43 4.4 G_pariet_inf-Supramar 3003 2052 6114 2.376 0.450 0.155 0.049 67 5.6 G_parietal_sup 2255 1354 3630 2.098 0.456 0.120 0.035 30 2.7 G_postcentral 3113 1881 6719 2.711 0.499 0.122 0.039 47 4.8 G_precentral 2621 1789 5642 2.572 0.481 0.153 0.046 48 4.4 G_precuneus 839 620 2116 2.395 0.651 0.153 0.047 18 1.4 G_rectus 257 173 523 2.643 0.641 0.124 0.058 4 0.8 G_subcallosal 488 241 720 2.303 0.461 0.093 0.036 5 0.6 G_temp_sup-G_T_transv 2184 1422 5704 2.863 0.578 0.135 0.038 36 2.9 G_temp_sup-Lateral 771 536 1800 3.386 0.825 0.088 0.019 4 0.6 G_temp_sup-Plan_polar 983 659 1773 2.465 0.542 0.098 0.020 5 0.8 G_temp_sup-Plan_tempo 2881 1998 7423 2.604 0.732 0.159 0.056 70 7.2 G_temporal_inf 3360 2391 9598 2.817 0.654 0.151 0.050 72 6.8 G_temporal_middle 541 358 837 2.358 0.517 0.102 0.020 3 0.5 Lat_Fis-ant-Horizont 294 222 437 2.265 0.322 0.124 0.030 2 0.4 Lat_Fis-ant-Vertical 1541 1026 2032 2.296 0.435 0.109 0.027 10 1.9 Lat_Fis-post 4064 2604 5847 1.997 0.514 0.149 0.048 69 7.5 Pole_occipital 1659 1243 4716 2.873 0.727 0.158 0.048 36 3.2 Pole_temporal 2922 1972 3315 1.919 0.641 0.144 0.038 39 4.9 S_calcarine 3287 2126 3447 1.858 0.511 0.102 0.025 20 3.5 S_central 1721 1177 2533 2.305 0.432 0.121 0.027 18 2.0 S_cingul-Marginalis 774 530 1173 2.689 0.542 0.116 0.033 5 1.3 S_circular_insula_ant 1462 957 2162 2.557 0.770 0.089 0.023 7 1.4 S_circular_insula_inf 1428 973 2084 2.418 0.449 0.102 0.029 11 1.3 S_circular_insula_sup 1161 826 1537 1.893 0.450 0.100 0.016 6 0.8 S_collat_transv_ant 676 469 808 1.993 0.349 0.144 0.041 7 1.2 S_collat_transv_post 2548 1754 3662 2.166 0.429 0.121 0.026 24 2.7 S_front_inf 2258 1621 3434 2.138 0.503 0.120 0.029 24 2.8 S_front_middle 3212 2248 4842 2.274 0.458 0.108 0.021 22 2.9 S_front_sup 467 332 557 1.990 0.306 0.125 0.022 3 0.6 S_interm_prim-Jensen 4285 2912 5931 2.164 0.405 0.121 0.026 38 4.6 S_intrapariet&P_trans 1113 772 1313 1.969 0.355 0.125 0.030 8 1.4 S_oc_middle&Lunatus 1977 1329 2585 2.155 0.435 0.126 0.028 19 2.2 S_oc_sup&transversal 836 596 1235 2.111 0.397 0.128 0.026 7 0.9 S_occipital_ant 1035 744 1620 2.346 0.519 0.134 0.033 11 1.3 S_oc-temp_lat 1930 1397 2536 2.029 0.461 0.117 0.022 16 1.8 S_oc-temp_med&Lingual 373 281 519 1.867 0.330 0.140 0.028 3 0.5 S_orbital_lateral 760 554 967 1.938 0.542 0.114 0.016 5 0.5 S_orbital_med-olfact 1625 1130 2792 2.419 0.550 0.136 0.035 20 2.3 S_orbital-H_Shaped 2142 1434 2891 2.240 0.544 0.126 0.023 20 2.1 S_parieto_occipital 1702 1062 1615 2.034 0.959 0.126 0.023 26 1.5 S_pericallosal 2928 1975 3728 2.042 0.374 0.118 0.029 25 3.2 S_postcentral 1708 1160 2551 2.354 0.410 0.115 0.024 13 1.7 S_precentral-inf-part 1252 840 1754 2.235 0.469 0.108 0.025 10 1.1 S_precentral-sup-part 328 236 517 2.428 0.641 0.145 0.029 4 0.4 S_suborbital 1444 991 2300 2.230 0.532 0.126 0.027 15 1.5 S_subparietal 1676 1173 2114 2.064 0.358 0.116 0.021 11 1.7 S_temporal_inf 7017 4761 10042 2.279 0.438 0.108 0.021 57 6.2 S_temporal_sup 293 193 358 2.473 0.354 0.118 0.023 2 0.3 S_temporal_transverse @#@FSTIME 2017:01:19:21:18:38 mris_anatomical_stats N 14 e 53.13 S 0.45 U 51.54 P 97% M 605696 F 0 R 82243 W 0 c 59 w 444 I 0 O 632 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:19:31 mris_anatomical_stats N 14 3.00 3.00 3.00 #----------------------------------------- #@# Cortical Parc 3 lh Thu Jan 19 21:19:32 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 004 lh ../surf/lh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/lh.aparc.DKTatlas.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 1.4 using min determinant for regularization = 0.020 0 singular and 383 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1138 labels changed using aseg relabeling using gibbs priors... 000: 2185 changed, 153374 examined... 001: 517 changed, 10029 examined... 002: 150 changed, 2914 examined... 003: 86 changed, 874 examined... 004: 54 changed, 485 examined... 005: 40 changed, 287 examined... 006: 29 changed, 205 examined... 007: 24 changed, 154 examined... 008: 24 changed, 125 examined... 009: 19 changed, 123 examined... 010: 12 changed, 98 examined... 011: 10 changed, 64 examined... 012: 8 changed, 64 examined... 013: 12 changed, 47 examined... 014: 9 changed, 55 examined... 015: 6 changed, 48 examined... 016: 1 changed, 34 examined... 017: 1 changed, 7 examined... 018: 0 changed, 7 examined... 461 labels changed using aseg 000: 62 total segments, 29 labels (232 vertices) changed 001: 33 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 7 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 1021 vertices marked for relabeling... 1021 labels changed in reclassification. writing output to ../label/lh.aparc.DKTatlas.annot... classification took 0 minutes and 19 seconds. @#@FSTIME 2017:01:19:21:19:32 mris_ca_label N 11 e 18.77 S 0.36 U 18.23 P 99% M 543008 F 0 R 81213 W 0 c 59 w 109 I 0 O 2400 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:19:50 mris_ca_label N 11 3.00 3.00 3.00 #----------------------------------------- #@# Cortical Parc 3 rh Thu Jan 19 21:19:50 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 004 rh ../surf/rh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/rh.aparc.DKTatlas.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 0.9 using min determinant for regularization = 0.009 0 singular and 325 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1174 labels changed using aseg relabeling using gibbs priors... 000: 2181 changed, 152106 examined... 001: 510 changed, 10121 examined... 002: 140 changed, 2841 examined... 003: 55 changed, 833 examined... 004: 30 changed, 306 examined... 005: 15 changed, 166 examined... 006: 10 changed, 99 examined... 007: 8 changed, 75 examined... 008: 8 changed, 45 examined... 009: 5 changed, 50 examined... 010: 3 changed, 33 examined... 011: 2 changed, 21 examined... 012: 1 changed, 12 examined... 013: 1 changed, 7 examined... 014: 1 changed, 6 examined... 015: 0 changed, 8 examined... 278 labels changed using aseg 000: 47 total segments, 14 labels (662 vertices) changed 001: 33 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 2 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 574 vertices marked for relabeling... 574 labels changed in reclassification. writing output to ../label/rh.aparc.DKTatlas.annot... classification took 0 minutes and 19 seconds. @#@FSTIME 2017:01:19:21:19:51 mris_ca_label N 11 e 19.09 S 0.36 U 18.56 P 99% M 531540 F 0 R 79477 W 0 c 61 w 104 I 0 O 2384 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:20:10 mris_ca_label N 11 3.00 3.00 3.00 #----------------------------------------- #@# Parcellation Stats 3 lh Thu Jan 19 21:20:10 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.DKTatlas.stats -b -a ../label/lh.aparc.DKTatlas.annot -c ../label/aparc.annot.DKTatlas.ctab 004 lh white computing statistics for each annotation in ../label/lh.aparc.DKTatlas.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262929 Total vertex volume 259358 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.DKTatlas.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 2013 1345 3309 2.342 0.685 0.124 0.028 33 2.1 caudalanteriorcingulate 3499 2328 6525 2.506 0.505 0.124 0.032 40 4.5 caudalmiddlefrontal 3394 2198 4377 1.875 0.404 0.141 0.038 50 4.8 cuneus 517 391 1576 3.059 0.624 0.125 0.035 5 0.6 entorhinal 4679 3341 9272 2.408 0.594 0.131 0.033 59 6.2 fusiform 8250 5712 13816 2.208 0.466 0.132 0.032 112 11.2 inferiorparietal 5110 3662 11660 2.506 0.676 0.145 0.042 97 9.0 inferiortemporal 1931 1245 3167 2.283 0.701 0.120 0.035 25 2.3 isthmuscingulate 9187 6219 14865 2.138 0.474 0.149 0.040 138 15.3 lateraloccipital 4823 3354 9888 2.528 0.688 0.152 0.045 81 9.0 lateralorbitofrontal 5637 3871 8295 1.949 0.509 0.142 0.038 87 8.5 lingual 2544 1758 4792 2.313 0.725 0.113 0.032 30 3.1 medialorbitofrontal 5811 4094 12590 2.545 0.579 0.137 0.036 90 8.4 middletemporal 1105 754 1970 2.249 0.607 0.090 0.020 6 0.8 parahippocampal 2641 1685 4489 2.388 0.574 0.110 0.027 22 2.9 paracentral 2473 1669 5172 2.600 0.548 0.123 0.031 29 3.0 parsopercularis 1029 688 2108 2.617 0.573 0.137 0.037 16 1.3 parsorbitalis 2751 1873 4868 2.352 0.475 0.133 0.036 35 4.2 parstriangularis 2513 1683 2669 1.700 0.394 0.130 0.033 31 3.1 pericalcarine 7434 4915 10959 2.040 0.547 0.121 0.030 85 8.8 postcentral 2464 1680 4179 2.240 0.639 0.135 0.027 37 2.6 posteriorcingulate 8264 5119 14039 2.499 0.557 0.111 0.033 91 10.7 precentral 6564 4473 11164 2.296 0.489 0.137 0.036 95 9.5 precuneus 2078 1387 3887 2.547 0.728 0.133 0.041 36 3.2 rostralanteriorcingulate 6723 4747 12755 2.351 0.531 0.142 0.038 105 10.3 rostralmiddlefrontal 12780 8904 26964 2.546 0.611 0.130 0.035 169 18.1 superiorfrontal 7762 5190 12333 2.156 0.446 0.129 0.029 94 9.3 superiorparietal 8412 5737 17085 2.613 0.657 0.120 0.029 94 9.9 superiortemporal 6648 4587 12461 2.382 0.518 0.137 0.036 100 9.1 supramarginal 1036 572 1442 2.227 0.365 0.116 0.052 15 2.2 transversetemporal 3630 2435 6679 2.616 0.739 0.120 0.038 38 5.6 insula @#@FSTIME 2017:01:19:21:20:10 mris_anatomical_stats N 14 e 51.20 S 0.41 U 50.01 P 98% M 610712 F 0 R 82759 W 0 c 55 w 311 I 0 O 272 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:21:01 mris_anatomical_stats N 14 3.03 3.01 3.00 #----------------------------------------- #@# Parcellation Stats 3 rh Thu Jan 19 21:21:01 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.DKTatlas.stats -b -a ../label/rh.aparc.DKTatlas.annot -c ../label/aparc.annot.DKTatlas.ctab 004 rh white computing statistics for each annotation in ../label/rh.aparc.DKTatlas.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 262977 Total vertex volume 258674 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.DKTatlas.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1410 930 2781 2.466 0.821 0.135 0.031 23 1.7 caudalanteriorcingulate 3484 2355 6468 2.517 0.429 0.129 0.033 40 4.7 caudalmiddlefrontal 3038 1980 4161 1.969 0.450 0.147 0.041 50 5.0 cuneus 613 454 1825 2.939 0.838 0.124 0.024 5 0.6 entorhinal 3750 2612 7127 2.392 0.609 0.135 0.036 60 5.2 fusiform 9351 6431 16768 2.339 0.488 0.139 0.035 147 13.6 inferiorparietal 5649 3984 12190 2.443 0.702 0.145 0.043 103 10.8 inferiortemporal 1588 1009 2740 2.514 0.808 0.126 0.031 21 1.6 isthmuscingulate 9008 5973 14519 2.169 0.493 0.149 0.044 148 15.0 lateraloccipital 4854 3424 9627 2.510 0.675 0.144 0.044 81 9.0 lateralorbitofrontal 5503 3740 8066 1.956 0.512 0.146 0.038 88 8.7 lingual 2455 1772 4883 2.278 0.634 0.137 0.041 47 3.4 medialorbitofrontal 6814 4790 14742 2.554 0.629 0.131 0.036 98 10.1 middletemporal 1065 742 2425 2.581 0.933 0.110 0.026 10 1.1 parahippocampal 2993 1914 4906 2.349 0.516 0.121 0.034 35 4.0 paracentral 2966 2071 5945 2.478 0.478 0.121 0.032 38 3.7 parsopercularis 1029 705 2009 2.510 0.568 0.124 0.034 13 1.5 parsorbitalis 2746 1951 5202 2.319 0.502 0.143 0.038 41 4.2 parstriangularis 2488 1685 2544 1.659 0.423 0.133 0.034 28 3.6 pericalcarine 6889 4419 9725 2.023 0.535 0.115 0.030 73 7.9 postcentral 2333 1585 4467 2.347 0.714 0.136 0.031 35 3.1 posteriorcingulate 7295 4590 12521 2.450 0.529 0.118 0.034 82 10.2 precentral 6422 4354 11348 2.416 0.573 0.139 0.035 89 8.7 precuneus 1342 890 2910 2.959 0.716 0.145 0.036 23 1.9 rostralanteriorcingulate 6846 4778 12636 2.272 0.568 0.142 0.037 111 10.3 rostralmiddlefrontal 14600 10096 28926 2.497 0.577 0.130 0.033 193 19.5 superiorfrontal 7874 5418 13070 2.203 0.439 0.136 0.035 115 10.8 superiorparietal 8302 5502 17212 2.709 0.670 0.112 0.027 88 8.6 superiortemporal 5442 3587 8863 2.332 0.508 0.130 0.035 66 7.8 supramarginal 649 333 906 2.326 0.446 0.092 0.031 6 0.7 transversetemporal 3511 2388 7162 2.776 0.765 0.131 0.048 47 7.2 insula @#@FSTIME 2017:01:19:21:21:01 mris_anatomical_stats N 14 e 46.15 S 0.42 U 44.94 P 98% M 605688 F 0 R 82197 W 0 c 58 w 314 I 0 O 272 L 3.03 3.01 3.00 @#@FSLOADPOST 2017:01:19:21:21:47 mris_anatomical_stats N 14 3.09 3.02 3.01 #----------------------------------------- #@# WM/GM Contrast lh Thu Jan 19 21:21:47 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts pctsurfcon --s 004 --lh-only Log file is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts/pctsurfcon.log Thu Jan 19 21:21:48 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/pctsurfcon $Id: pctsurfcon,v 1.15 2016/02/12 21:43:15 zkaufman Exp $ Linux compute-0-39 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz --hemi lh --noreshape --interp trilinear --projdist -1 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25598/lh.wm.mgh --regheader 004 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = lh ProjDist = -1 reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Done reading source surface Mapping Source Volume onto Source Subject Surface 1 -1 -1 -1 using old Done mapping volume to surface Number of source voxels hit = 82457 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25598/lh.wm.mgh Dim: 153374 1 1 mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz --hemi lh --noreshape --interp trilinear --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25598/lh.gm.mgh --projfrac 0.3 --regheader 004 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = lh ProjFrac = 0.3 thickness = thickness reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Done reading source surface Reading thickness /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.thickness Done Mapping Source Volume onto Source Subject Surface 1 0.3 0.3 0.3 using old Done mapping volume to surface Number of source voxels hit = 102948 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25598/lh.gm.mgh Dim: 153374 1 1 mri_concat /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25598/lh.wm.mgh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25598/lh.gm.mgh --paired-diff-norm --mul 100 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.w-g.pct.mgh ninputs = 2 Checking inputs nframestot = 2 Allocing output Done allocing Combining pairs nframes = 1 Multiplying by 100.000000 Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.w-g.pct.mgh mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.w-g.pct.mgh --annot 004 lh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/stats/lh.w-g.pct.stats --snr $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.w-g.pct.mgh --annot 004 lh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/stats/lh.w-g.pct.stats --snr sysname Linux hostname compute-0-39 machine x86_64 user zkaufman UseRobust 0 Constructing seg from annotation Reading annotation /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Seg base 1000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.w-g.pct.mgh Vertex Area is 0.677179 mm^3 Generating list of segmentation ids Found 36 segmentations Computing statistics for each segmentation Reporting on 35 segmentations Using PrintSegStat mri_segstats done Cleaning up @#@FSTIME 2017:01:19:21:21:47 pctsurfcon N 3 e 9.32 S 0.59 U 7.84 P 90% M 355408 F 0 R 163804 W 0 c 93 w 439 I 0 O 3792 L 3.09 3.02 3.01 @#@FSLOADPOST 2017:01:19:21:21:57 pctsurfcon N 3 3.08 3.02 3.00 #----------------------------------------- #@# WM/GM Contrast rh Thu Jan 19 21:21:57 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts pctsurfcon --s 004 --rh-only Log file is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts/pctsurfcon.log Thu Jan 19 21:21:57 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/scripts /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/pctsurfcon $Id: pctsurfcon,v 1.15 2016/02/12 21:43:15 zkaufman Exp $ Linux compute-0-39 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz --hemi rh --noreshape --interp trilinear --projdist -1 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25689/rh.wm.mgh --regheader 004 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = rh ProjDist = -1 reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Done reading source surface Mapping Source Volume onto Source Subject Surface 1 -1 -1 -1 using old Done mapping volume to surface Number of source voxels hit = 81839 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25689/rh.wm.mgh Dim: 152106 1 1 mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz --hemi rh --noreshape --interp trilinear --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25689/rh.gm.mgh --projfrac 0.3 --regheader 004 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = rh ProjFrac = 0.3 thickness = thickness reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Done reading source surface Reading thickness /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.thickness Done Mapping Source Volume onto Source Subject Surface 1 0.3 0.3 0.3 using old Done mapping volume to surface Number of source voxels hit = 101929 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25689/rh.gm.mgh Dim: 152106 1 1 mri_concat /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25689/rh.wm.mgh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/tmp.pctsurfcon.25689/rh.gm.mgh --paired-diff-norm --mul 100 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.w-g.pct.mgh ninputs = 2 Checking inputs nframestot = 2 Allocing output Done allocing Combining pairs nframes = 1 Multiplying by 100.000000 Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.w-g.pct.mgh mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.w-g.pct.mgh --annot 004 rh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/stats/rh.w-g.pct.stats --snr $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.w-g.pct.mgh --annot 004 rh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/stats/rh.w-g.pct.stats --snr sysname Linux hostname compute-0-39 machine x86_64 user zkaufman UseRobust 0 Constructing seg from annotation Reading annotation /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Seg base 2000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.w-g.pct.mgh Vertex Area is 0.675865 mm^3 Generating list of segmentation ids Found 36 segmentations Computing statistics for each segmentation Reporting on 35 segmentations Using PrintSegStat mri_segstats done Cleaning up @#@FSTIME 2017:01:19:21:21:57 pctsurfcon N 3 e 9.26 S 0.58 U 7.68 P 89% M 353708 F 0 R 163930 W 0 c 91 w 478 I 0 O 3744 L 3.08 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:22:06 pctsurfcon N 3 3.15 3.04 3.01 #----------------------------------------- #@# Relabel Hypointensities Thu Jan 19 21:22:06 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri mri_relabel_hypointensities aseg.presurf.mgz ../surf aseg.presurf.hypos.mgz reading input surface ../surf/lh.white... relabeling lh hypointensities... 2164 voxels changed to hypointensity... reading input surface ../surf/rh.white... relabeling rh hypointensities... 1616 voxels changed to hypointensity... 3736 hypointense voxels neighboring cortex changed @#@FSTIME 2017:01:19:21:22:06 mri_relabel_hypointensities N 3 e 28.06 S 0.69 U 27.23 P 99% M 514896 F 0 R 233169 W 0 c 45 w 60 I 0 O 520 L 3.15 3.04 3.01 @#@FSLOADPOST 2017:01:19:21:22:34 mri_relabel_hypointensities N 3 3.10 3.03 3.01 #----------------------------------------- #@# AParc-to-ASeg aparc Thu Jan 19 21:22:34 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 mri_aparc2aseg --s 004 --volmask --aseg aseg.presurf.hypos --relabel mri/norm.mgz mri/transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca mri/aseg.auto_noCCseg.label_intensities.txt relabeling unlikely voxels interior to white matter surface: norm: mri/norm.mgz XFORM: mri/transforms/talairach.m3z GCA: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca label intensities: mri/aseg.auto_noCCseg.label_intensities.txt SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 004 outvol /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aparc+aseg.mgz useribbon 0 baseoffset 0 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/ribbon.mgz Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aseg.presurf.hypos.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice relabeling unlikely voxels in interior of white matter setting orig areas to linear transform determinant scaled 7.34 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 106 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 7 rescaling Left_Inf_Lat_Vent from 34 --> 26 rescaling Left_Cerebellum_White_Matter from 86 --> 81 rescaling Left_Cerebellum_Cortex from 60 --> 52 rescaling Left_Thalamus from 94 --> 91 rescaling Left_Thalamus_Proper from 84 --> 82 rescaling Left_Caudate from 75 --> 68 rescaling Left_Putamen from 80 --> 67 rescaling Left_Pallidum from 98 --> 95 rescaling Third_Ventricle from 25 --> 11 rescaling Fourth_Ventricle from 22 --> 6 rescaling Brain_Stem from 81 --> 84 rescaling Left_Hippocampus from 57 --> 57 rescaling Left_Amygdala from 56 --> 55 rescaling CSF from 32 --> 16 rescaling Left_Accumbens_area from 62 --> 56 rescaling Left_VentralDC from 87 --> 88 rescaling Right_Cerebral_White_Matter from 105 --> 105 rescaling Right_Cerebral_Cortex from 58 --> 57 rescaling Right_Lateral_Ventricle from 13 --> 7 rescaling Right_Inf_Lat_Vent from 25 --> 22 rescaling Right_Cerebellum_White_Matter from 87 --> 82 rescaling Right_Cerebellum_Cortex from 59 --> 53 rescaling Right_Thalamus_Proper from 85 --> 78 rescaling Right_Caudate from 62 --> 68 rescaling Right_Putamen from 80 --> 68 rescaling Right_Pallidum from 97 --> 89 rescaling Right_Hippocampus from 53 --> 52 rescaling Right_Amygdala from 55 --> 51 rescaling Right_Accumbens_area from 65 --> 66 rescaling Right_VentralDC from 86 --> 92 rescaling Fifth_Ventricle from 40 --> 14 rescaling WM_hypointensities from 78 --> 78 rescaling non_WM_hypointensities from 40 --> 56 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 515677 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 334 changed. pass 2: 22 changed. pass 3: 8 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aparc+aseg.mgz @#@FSTIME 2017:01:19:21:22:35 mri_aparc2aseg N 10 e 300.46 S 2.72 U 297.07 P 99% M 2479640 F 0 R 956331 W 0 c 346 w 281 I 0 O 872 L 3.10 3.03 3.01 @#@FSLOADPOST 2017:01:19:21:27:35 mri_aparc2aseg N 10 3.02 3.04 3.00 #----------------------------------------- #@# AParc-to-ASeg a2009s Thu Jan 19 21:27:35 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 mri_aparc2aseg --s 004 --volmask --aseg aseg.presurf.hypos --relabel mri/norm.mgz mri/transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca mri/aseg.auto_noCCseg.label_intensities.txt --a2009s relabeling unlikely voxels interior to white matter surface: norm: mri/norm.mgz XFORM: mri/transforms/talairach.m3z GCA: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca label intensities: mri/aseg.auto_noCCseg.label_intensities.txt SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 004 outvol /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aparc.a2009s+aseg.mgz useribbon 0 baseoffset 10100 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.aparc.a2009s.annot reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.aparc.a2009s.annot reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/ribbon.mgz Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aseg.presurf.hypos.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice relabeling unlikely voxels in interior of white matter setting orig areas to linear transform determinant scaled 7.34 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 106 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 7 rescaling Left_Inf_Lat_Vent from 34 --> 26 rescaling Left_Cerebellum_White_Matter from 86 --> 81 rescaling Left_Cerebellum_Cortex from 60 --> 52 rescaling Left_Thalamus from 94 --> 91 rescaling Left_Thalamus_Proper from 84 --> 82 rescaling Left_Caudate from 75 --> 68 rescaling Left_Putamen from 80 --> 67 rescaling Left_Pallidum from 98 --> 95 rescaling Third_Ventricle from 25 --> 11 rescaling Fourth_Ventricle from 22 --> 6 rescaling Brain_Stem from 81 --> 84 rescaling Left_Hippocampus from 57 --> 57 rescaling Left_Amygdala from 56 --> 55 rescaling CSF from 32 --> 16 rescaling Left_Accumbens_area from 62 --> 56 rescaling Left_VentralDC from 87 --> 88 rescaling Right_Cerebral_White_Matter from 105 --> 105 rescaling Right_Cerebral_Cortex from 58 --> 57 rescaling Right_Lateral_Ventricle from 13 --> 7 rescaling Right_Inf_Lat_Vent from 25 --> 22 rescaling Right_Cerebellum_White_Matter from 87 --> 82 rescaling Right_Cerebellum_Cortex from 59 --> 53 rescaling Right_Thalamus_Proper from 85 --> 78 rescaling Right_Caudate from 62 --> 68 rescaling Right_Putamen from 80 --> 68 rescaling Right_Pallidum from 97 --> 89 rescaling Right_Hippocampus from 53 --> 52 rescaling Right_Amygdala from 55 --> 51 rescaling Right_Accumbens_area from 65 --> 66 rescaling Right_VentralDC from 86 --> 92 rescaling Fifth_Ventricle from 40 --> 14 rescaling WM_hypointensities from 78 --> 78 rescaling non_WM_hypointensities from 40 --> 56 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 515728 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 334 changed. pass 2: 22 changed. pass 3: 8 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aparc.a2009s+aseg.mgz @#@FSTIME 2017:01:19:21:27:35 mri_aparc2aseg N 11 e 306.45 S 2.81 U 302.97 P 99% M 2479728 F 0 R 957382 W 0 c 355 w 258 I 0 O 952 L 3.02 3.04 3.00 @#@FSLOADPOST 2017:01:19:21:32:42 mri_aparc2aseg N 11 3.00 3.01 3.00 #----------------------------------------- #@# AParc-to-ASeg DKTatlas Thu Jan 19 21:32:42 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 mri_aparc2aseg --s 004 --volmask --aseg aseg.presurf.hypos --relabel mri/norm.mgz mri/transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca mri/aseg.auto_noCCseg.label_intensities.txt --annot aparc.DKTatlas --o mri/aparc.DKTatlas+aseg.mgz relabeling unlikely voxels interior to white matter surface: norm: mri/norm.mgz XFORM: mri/transforms/talairach.m3z GCA: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca label intensities: mri/aseg.auto_noCCseg.label_intensities.txt SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 004 outvol mri/aparc.DKTatlas+aseg.mgz useribbon 0 baseoffset 0 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.aparc.DKTatlas.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.aparc.DKTatlas.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/ribbon.mgz Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aseg.presurf.hypos.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice relabeling unlikely voxels in interior of white matter setting orig areas to linear transform determinant scaled 7.34 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 106 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 7 rescaling Left_Inf_Lat_Vent from 34 --> 26 rescaling Left_Cerebellum_White_Matter from 86 --> 81 rescaling Left_Cerebellum_Cortex from 60 --> 52 rescaling Left_Thalamus from 94 --> 91 rescaling Left_Thalamus_Proper from 84 --> 82 rescaling Left_Caudate from 75 --> 68 rescaling Left_Putamen from 80 --> 67 rescaling Left_Pallidum from 98 --> 95 rescaling Third_Ventricle from 25 --> 11 rescaling Fourth_Ventricle from 22 --> 6 rescaling Brain_Stem from 81 --> 84 rescaling Left_Hippocampus from 57 --> 57 rescaling Left_Amygdala from 56 --> 55 rescaling CSF from 32 --> 16 rescaling Left_Accumbens_area from 62 --> 56 rescaling Left_VentralDC from 87 --> 88 rescaling Right_Cerebral_White_Matter from 105 --> 105 rescaling Right_Cerebral_Cortex from 58 --> 57 rescaling Right_Lateral_Ventricle from 13 --> 7 rescaling Right_Inf_Lat_Vent from 25 --> 22 rescaling Right_Cerebellum_White_Matter from 87 --> 82 rescaling Right_Cerebellum_Cortex from 59 --> 53 rescaling Right_Thalamus_Proper from 85 --> 78 rescaling Right_Caudate from 62 --> 68 rescaling Right_Putamen from 80 --> 68 rescaling Right_Pallidum from 97 --> 89 rescaling Right_Hippocampus from 53 --> 52 rescaling Right_Amygdala from 55 --> 51 rescaling Right_Accumbens_area from 65 --> 66 rescaling Right_VentralDC from 86 --> 92 rescaling Fifth_Ventricle from 40 --> 14 rescaling WM_hypointensities from 78 --> 78 rescaling non_WM_hypointensities from 40 --> 56 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 515728 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 334 changed. pass 2: 22 changed. pass 3: 8 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to mri/aparc.DKTatlas+aseg.mgz @#@FSTIME 2017:01:19:21:32:42 mri_aparc2aseg N 14 e 294.00 S 2.45 U 290.91 P 99% M 2479648 F 0 R 956840 W 0 c 347 w 238 I 0 O 872 L 3.00 3.01 3.00 @#@FSLOADPOST 2017:01:19:21:37:36 mri_aparc2aseg N 14 3.00 3.00 3.00 #----------------------------------------- #@# APas-to-ASeg Thu Jan 19 21:37:36 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri apas2aseg --i aparc+aseg.mgz --o aseg.mgz Thu Jan 19 21:37:36 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/apas2aseg --i aparc+aseg.mgz --o aseg.mgz freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c $Id: apas2aseg,v 1.2 2016/02/12 21:43:14 zkaufman Exp $ Linux compute-0-39 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux mri_binarize --i aparc+aseg.mgz --o aseg.mgz --replace 1000 3 --replace 2000 42 --replace 1001 3 --replace 2001 42 --replace 1002 3 --replace 2002 42 --replace 1003 3 --replace 2003 42 --replace 1004 3 --replace 2004 42 --replace 1005 3 --replace 2005 42 --replace 1006 3 --replace 2006 42 --replace 1007 3 --replace 2007 42 --replace 1008 3 --replace 2008 42 --replace 1009 3 --replace 2009 42 --replace 1010 3 --replace 2010 42 --replace 1011 3 --replace 2011 42 --replace 1012 3 --replace 2012 42 --replace 1013 3 --replace 2013 42 --replace 1014 3 --replace 2014 42 --replace 1015 3 --replace 2015 42 --replace 1016 3 --replace 2016 42 --replace 1017 3 --replace 2017 42 --replace 1018 3 --replace 2018 42 --replace 1019 3 --replace 2019 42 --replace 1020 3 --replace 2020 42 --replace 1021 3 --replace 2021 42 --replace 1022 3 --replace 2022 42 --replace 1023 3 --replace 2023 42 --replace 1024 3 --replace 2024 42 --replace 1025 3 --replace 2025 42 --replace 1026 3 --replace 2026 42 --replace 1027 3 --replace 2027 42 --replace 1028 3 --replace 2028 42 --replace 1029 3 --replace 2029 42 --replace 1030 3 --replace 2030 42 --replace 1031 3 --replace 2031 42 --replace 1032 3 --replace 2032 42 --replace 1033 3 --replace 2033 42 --replace 1034 3 --replace 2034 42 --replace 1035 3 --replace 2035 42 $Id: mri_binarize.c,v 1.43 2016/06/09 20:46:21 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri cmdline mri_binarize.bin --i aparc+aseg.mgz --o aseg.mgz --replace 1000 3 --replace 2000 42 --replace 1001 3 --replace 2001 42 --replace 1002 3 --replace 2002 42 --replace 1003 3 --replace 2003 42 --replace 1004 3 --replace 2004 42 --replace 1005 3 --replace 2005 42 --replace 1006 3 --replace 2006 42 --replace 1007 3 --replace 2007 42 --replace 1008 3 --replace 2008 42 --replace 1009 3 --replace 2009 42 --replace 1010 3 --replace 2010 42 --replace 1011 3 --replace 2011 42 --replace 1012 3 --replace 2012 42 --replace 1013 3 --replace 2013 42 --replace 1014 3 --replace 2014 42 --replace 1015 3 --replace 2015 42 --replace 1016 3 --replace 2016 42 --replace 1017 3 --replace 2017 42 --replace 1018 3 --replace 2018 42 --replace 1019 3 --replace 2019 42 --replace 1020 3 --replace 2020 42 --replace 1021 3 --replace 2021 42 --replace 1022 3 --replace 2022 42 --replace 1023 3 --replace 2023 42 --replace 1024 3 --replace 2024 42 --replace 1025 3 --replace 2025 42 --replace 1026 3 --replace 2026 42 --replace 1027 3 --replace 2027 42 --replace 1028 3 --replace 2028 42 --replace 1029 3 --replace 2029 42 --replace 1030 3 --replace 2030 42 --replace 1031 3 --replace 2031 42 --replace 1032 3 --replace 2032 42 --replace 1033 3 --replace 2033 42 --replace 1034 3 --replace 2034 42 --replace 1035 3 --replace 2035 42 sysname Linux hostname compute-0-39 machine x86_64 user zkaufman input aparc+aseg.mgz frame 0 nErode3d 0 nErode2d 0 output aseg.mgz Binarizing based on threshold min -infinity max +infinity binval 1 binvalnot 0 fstart = 0, fend = 0, nframes = 1 Replacing 72 1: 1000 3 2: 2000 42 3: 1001 3 4: 2001 42 5: 1002 3 6: 2002 42 7: 1003 3 8: 2003 42 9: 1004 3 10: 2004 42 11: 1005 3 12: 2005 42 13: 1006 3 14: 2006 42 15: 1007 3 16: 2007 42 17: 1008 3 18: 2008 42 19: 1009 3 20: 2009 42 21: 1010 3 22: 2010 42 23: 1011 3 24: 2011 42 25: 1012 3 26: 2012 42 27: 1013 3 28: 2013 42 29: 1014 3 30: 2014 42 31: 1015 3 32: 2015 42 33: 1016 3 34: 2016 42 35: 1017 3 36: 2017 42 37: 1018 3 38: 2018 42 39: 1019 3 40: 2019 42 41: 1020 3 42: 2020 42 43: 1021 3 44: 2021 42 45: 1022 3 46: 2022 42 47: 1023 3 48: 2023 42 49: 1024 3 50: 2024 42 51: 1025 3 52: 2025 42 53: 1026 3 54: 2026 42 55: 1027 3 56: 2027 42 57: 1028 3 58: 2028 42 59: 1029 3 60: 2029 42 61: 1030 3 62: 2030 42 63: 1031 3 64: 2031 42 65: 1032 3 66: 2032 42 67: 1033 3 68: 2033 42 69: 1034 3 70: 2034 42 71: 1035 3 72: 2035 42 Found 0 values in range Counting number of voxels in first frame Found 0 voxels in final mask Count: 0 0.000000 16777216 0.000000 mri_binarize done Started at Thu Jan 19 21:37:36 EST 2017 Ended at Thu Jan 19 21:37:45 EST 2017 Apas2aseg-Run-Time-Sec 8 apas2aseg Done @#@FSTIME 2017:01:19:21:37:36 apas2aseg N 4 e 8.47 S 0.13 U 8.15 P 97% M 175756 F 0 R 55837 W 0 c 68 w 210 I 0 O 760 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:37:45 apas2aseg N 4 3.00 3.00 3.00 #-------------------------------------------- #@# ASeg Stats Thu Jan 19 21:37:45 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 mri_segstats --seg mri/aseg.mgz --sum stats/aseg.stats --pv mri/norm.mgz --empty --brainmask mri/brainmask.mgz --brain-vol-from-seg --excludeid 0 --excl-ctxgmwm --supratent --subcortgray --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --etiv --surf-wm-vol --surf-ctx-vol --totalgray --euler --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/ASegStatsLUT.txt --subject 004 $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --seg mri/aseg.mgz --sum stats/aseg.stats --pv mri/norm.mgz --empty --brainmask mri/brainmask.mgz --brain-vol-from-seg --excludeid 0 --excl-ctxgmwm --supratent --subcortgray --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --etiv --surf-wm-vol --surf-ctx-vol --totalgray --euler --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/ASegStatsLUT.txt --subject 004 sysname Linux hostname compute-0-39 machine x86_64 user zkaufman UseRobust 0 atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) Computing euler number orig.nofix lheno = -138, rheno = -116 orig.nofix lhholes = 70, rhholes = 59 Loading mri/aseg.mgz Getting Brain Volume Statistics lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 Loading mri/norm.mgz Loading mri/norm.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 50 segmentations Computing statistics for each segmentation Reporting on 45 segmentations Using PrintSegStat mri_segstats done @#@FSTIME 2017:01:19:21:37:45 mri_segstats N 30 e 237.49 S 1.82 U 235.12 P 99% M 263140 F 0 R 799249 W 0 c 264 w 212 I 0 O 24 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:21:41:42 mri_segstats N 30 3.05 3.03 3.00 #----------------------------------------- #@# WMParc Thu Jan 19 21:41:42 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004 mri_aparc2aseg --s 004 --labelwm --hypo-as-wm --rip-unknown --volmask --o mri/wmparc.mgz --ctxseg aparc+aseg.mgz SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 004 outvol mri/wmparc.mgz useribbon 0 baseoffset 0 labeling wm labeling hypo-intensities as wm dmaxctx 5.000000 RipUnknown 1 CtxSeg /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aparc+aseg.mgz Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/ribbon.mgz Loading filled from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/ribbon.mgz Ripping vertices labeled as unkown Ripped 9684 vertices from left hemi Ripped 9809 vertices from right hemi Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aseg.mgz Loading Ctx Seg File /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/aparc+aseg.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 990450 Used brute-force search on 268 voxels Fixing Parahip LH WM Found 7 clusters 0 k 1.000000 1 k 1.000000 2 k 1208.000000 3 k 3.000000 4 k 1.000000 5 k 1.000000 6 k 8.000000 Fixing Parahip RH WM Found 9 clusters 0 k 2.000000 1 k 2.000000 2 k 1.000000 3 k 1.000000 4 k 1.000000 5 k 1.000000 6 k 1326.000000 7 k 1.000000 8 k 2.000000 Writing output aseg to mri/wmparc.mgz @#@FSTIME 2017:01:19:21:41:42 mri_aparc2aseg N 10 e 194.50 S 0.80 U 193.11 P 99% M 1329764 F 0 R 265922 W 0 c 225 w 223 I 0 O 976 L 3.05 3.03 3.00 @#@FSLOADPOST 2017:01:19:21:44:57 mri_aparc2aseg N 10 3.03 3.04 3.00 mri_segstats --seg mri/wmparc.mgz --sum stats/wmparc.stats --pv mri/norm.mgz --excludeid 0 --brainmask mri/brainmask.mgz --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --subject 004 --surf-wm-vol --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/WMParcStatsLUT.txt --etiv $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --seg mri/wmparc.mgz --sum stats/wmparc.stats --pv mri/norm.mgz --excludeid 0 --brainmask mri/brainmask.mgz --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --subject 004 --surf-wm-vol --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/WMParcStatsLUT.txt --etiv sysname Linux hostname compute-0-39 machine x86_64 user zkaufman UseRobust 0 atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) Loading mri/wmparc.mgz Getting Brain Volume Statistics lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 Loading mri/norm.mgz Loading mri/norm.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 390 segmentations Computing statistics for each segmentation Reporting on 70 segmentations Using PrintSegStat mri_segstats done @#@FSTIME 2017:01:19:21:44:57 mri_segstats N 22 e 623.32 S 2.88 U 619.82 P 99% M 264612 F 0 R 1287269 W 0 c 681 w 212 I 0 O 24 L 3.03 3.04 3.00 @#@FSLOADPOST 2017:01:19:21:55:20 mri_segstats N 22 3.20 3.05 3.01 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label #-------------------------------------------- #@# BA_exvivo Labels lh Thu Jan 19 21:55:21 EST 2017 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.label --trgsubject 004 --trglabel ./lh.BA1_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA1_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4129 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4129 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 309 Checking for and removing duplicates Writing label file ./lh.BA1_exvivo.label 4438 mri_label2label: Done @#@FSTIME 2017:01:19:21:55:21 mri_label2label N 12 e 12.21 S 0.35 U 11.69 P 98% M 589404 F 0 R 74158 W 0 c 20 w 72 I 0 O 280 L 3.20 3.05 3.01 @#@FSLOADPOST 2017:01:19:21:55:33 mri_label2label N 12 3.09 3.03 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.label --trgsubject 004 --trglabel ./lh.BA2_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA2_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 7909 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 7909 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 563 Checking for and removing duplicates Writing label file ./lh.BA2_exvivo.label 8472 mri_label2label: Done @#@FSTIME 2017:01:19:21:55:33 mri_label2label N 12 e 12.46 S 0.32 U 11.99 P 98% M 589680 F 0 R 74737 W 0 c 27 w 64 I 0 O 512 L 3.09 3.03 3.01 @#@FSLOADPOST 2017:01:19:21:55:45 mri_label2label N 12 3.08 3.03 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.label --trgsubject 004 --trglabel ./lh.BA3a_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA3a_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4077 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4077 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 295 Checking for and removing duplicates Writing label file ./lh.BA3a_exvivo.label 4372 mri_label2label: Done @#@FSTIME 2017:01:19:21:55:45 mri_label2label N 12 e 12.05 S 0.33 U 11.56 P 98% M 589400 F 0 R 74156 W 0 c 28 w 60 I 0 O 272 L 3.08 3.03 3.01 @#@FSLOADPOST 2017:01:19:21:55:57 mri_label2label N 12 3.06 3.03 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.label --trgsubject 004 --trglabel ./lh.BA3b_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA3b_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5983 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5983 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 334 Checking for and removing duplicates Writing label file ./lh.BA3b_exvivo.label 6317 mri_label2label: Done @#@FSTIME 2017:01:19:21:55:57 mri_label2label N 12 e 13.40 S 0.36 U 12.88 P 98% M 589536 F 0 R 74191 W 0 c 23 w 62 I 0 O 384 L 3.06 3.03 3.01 @#@FSLOADPOST 2017:01:19:21:56:11 mri_label2label N 12 3.04 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.label --trgsubject 004 --trglabel ./lh.BA4a_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA4a_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5784 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5784 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 797 Checking for and removing duplicates Writing label file ./lh.BA4a_exvivo.label 6581 mri_label2label: Done @#@FSTIME 2017:01:19:21:56:11 mri_label2label N 12 e 13.38 S 0.38 U 12.84 P 98% M 589532 F 0 R 74191 W 0 c 23 w 64 I 0 O 424 L 3.04 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:56:24 mri_label2label N 12 3.04 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.label --trgsubject 004 --trglabel ./lh.BA4p_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA4p_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4070 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4070 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 553 Checking for and removing duplicates Writing label file ./lh.BA4p_exvivo.label 4623 mri_label2label: Done @#@FSTIME 2017:01:19:21:56:24 mri_label2label N 12 e 12.68 S 0.38 U 12.11 P 98% M 589400 F 0 R 74157 W 0 c 20 w 76 I 0 O 312 L 3.04 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:56:37 mri_label2label N 12 3.10 3.04 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.label --trgsubject 004 --trglabel ./lh.BA6_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA6_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 13589 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 13589 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 1434 Checking for and removing duplicates Writing label file ./lh.BA6_exvivo.label 15023 mri_label2label: Done @#@FSTIME 2017:01:19:21:56:37 mri_label2label N 12 e 16.56 S 0.35 U 16.04 P 99% M 590112 F 0 R 74335 W 0 c 34 w 71 I 0 O 944 L 3.10 3.04 3.01 @#@FSLOADPOST 2017:01:19:21:56:54 mri_label2label N 12 3.07 3.03 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.label --trgsubject 004 --trglabel ./lh.BA44_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA44_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4181 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4181 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 394 Checking for and removing duplicates Writing label file ./lh.BA44_exvivo.label 4575 mri_label2label: Done @#@FSTIME 2017:01:19:21:56:54 mri_label2label N 12 e 12.66 S 0.33 U 12.19 P 98% M 589408 F 0 R 74670 W 0 c 21 w 61 I 0 O 296 L 3.07 3.03 3.01 @#@FSLOADPOST 2017:01:19:21:57:07 mri_label2label N 12 3.06 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.label --trgsubject 004 --trglabel ./lh.BA45_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA45_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3422 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3422 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 888 Checking for and removing duplicates Writing label file ./lh.BA45_exvivo.label 4310 mri_label2label: Done @#@FSTIME 2017:01:19:21:57:07 mri_label2label N 12 e 12.35 S 0.35 U 11.85 P 98% M 589364 F 0 R 74147 W 0 c 25 w 61 I 0 O 336 L 3.06 3.03 3.00 @#@FSLOADPOST 2017:01:19:21:57:19 mri_label2label N 12 3.05 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.label --trgsubject 004 --trglabel ./lh.V1_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.V1_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4641 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4641 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 2030 Checking for and removing duplicates Writing label file ./lh.V1_exvivo.label 6671 mri_label2label: Done @#@FSTIME 2017:01:19:21:57:19 mri_label2label N 12 e 13.27 S 0.35 U 12.73 P 98% M 589500 F 0 R 74181 W 0 c 26 w 76 I 0 O 536 L 3.05 3.03 3.00 @#@FSLOADPOST 2017:01:19:21:57:32 mri_label2label N 12 3.04 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.label --trgsubject 004 --trglabel ./lh.V2_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.V2_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 8114 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 8114 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 4265 Checking for and removing duplicates Writing label file ./lh.V2_exvivo.label 12379 mri_label2label: Done @#@FSTIME 2017:01:19:21:57:32 mri_label2label N 12 e 15.12 S 0.36 U 14.56 P 98% M 589820 F 0 R 74261 W 0 c 35 w 87 I 0 O 1008 L 3.04 3.03 3.00 @#@FSLOADPOST 2017:01:19:21:57:48 mri_label2label N 12 3.03 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.label --trgsubject 004 --trglabel ./lh.MT_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.MT_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2018 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2018 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 511 Checking for and removing duplicates Writing label file ./lh.MT_exvivo.label 2529 mri_label2label: Done @#@FSTIME 2017:01:19:21:57:48 mri_label2label N 12 e 11.84 S 0.36 U 11.34 P 98% M 589252 F 0 R 74120 W 0 c 19 w 60 I 0 O 200 L 3.03 3.03 3.00 @#@FSLOADPOST 2017:01:19:21:57:59 mri_label2label N 12 3.02 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.label --trgsubject 004 --trglabel ./lh.entorhinal_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.entorhinal_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1290 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1290 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 47 Checking for and removing duplicates Writing label file ./lh.entorhinal_exvivo.label 1337 mri_label2label: Done @#@FSTIME 2017:01:19:21:57:59 mri_label2label N 12 e 11.45 S 0.38 U 10.93 P 98% M 589192 F 0 R 74615 W 0 c 16 w 58 I 0 O 80 L 3.02 3.03 3.00 @#@FSLOADPOST 2017:01:19:21:58:11 mri_label2label N 12 3.02 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.label --trgsubject 004 --trglabel ./lh.perirhinal_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.perirhinal_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1199 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1199 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 53 Checking for and removing duplicates Writing label file ./lh.perirhinal_exvivo.label 1252 mri_label2label: Done @#@FSTIME 2017:01:19:21:58:11 mri_label2label N 12 e 11.41 S 0.36 U 10.90 P 98% M 589184 F 0 R 74612 W 0 c 20 w 58 I 0 O 80 L 3.02 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:58:22 mri_label2label N 12 3.01 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA1_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA1_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1014 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1014 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 106 Checking for and removing duplicates Writing label file ./lh.BA1_exvivo.thresh.label 1120 mri_label2label: Done @#@FSTIME 2017:01:19:21:58:22 mri_label2label N 12 e 11.38 S 0.39 U 10.82 P 98% M 589172 F 0 R 74099 W 0 c 17 w 69 I 0 O 80 L 3.01 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:58:34 mri_label2label N 12 3.01 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA2_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA2_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2092 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2092 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 169 Checking for and removing duplicates Writing label file ./lh.BA2_exvivo.thresh.label 2261 mri_label2label: Done @#@FSTIME 2017:01:19:21:58:34 mri_label2label N 12 e 11.83 S 0.38 U 11.27 P 98% M 589248 F 0 R 74118 W 0 c 18 w 74 I 0 O 144 L 3.01 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:58:46 mri_label2label N 12 3.01 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA3a_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA3a_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1504 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1504 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 80 Checking for and removing duplicates Writing label file ./lh.BA3a_exvivo.thresh.label 1584 mri_label2label: Done @#@FSTIME 2017:01:19:21:58:46 mri_label2label N 12 e 11.53 S 0.39 U 11.00 P 98% M 589200 F 0 R 74107 W 0 c 22 w 59 I 0 O 96 L 3.01 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:58:57 mri_label2label N 12 3.01 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA3b_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA3b_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1996 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1996 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 130 Checking for and removing duplicates Writing label file ./lh.BA3b_exvivo.thresh.label 2126 mri_label2label: Done @#@FSTIME 2017:01:19:21:58:57 mri_label2label N 12 e 11.74 S 0.38 U 11.21 P 98% M 589236 F 0 R 74627 W 0 c 22 w 59 I 0 O 144 L 3.01 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:59:09 mri_label2label N 12 3.00 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA4a_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA4a_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2319 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2319 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 313 Checking for and removing duplicates Writing label file ./lh.BA4a_exvivo.thresh.label 2632 mri_label2label: Done @#@FSTIME 2017:01:19:21:59:09 mri_label2label N 12 e 11.91 S 0.35 U 11.42 P 98% M 589272 F 0 R 74635 W 0 c 17 w 59 I 0 O 176 L 3.00 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:59:21 mri_label2label N 12 3.00 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA4p_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA4p_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1549 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1549 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 259 Checking for and removing duplicates Writing label file ./lh.BA4p_exvivo.thresh.label 1808 mri_label2label: Done @#@FSTIME 2017:01:19:21:59:21 mri_label2label N 12 e 11.62 S 0.38 U 11.08 P 98% M 589208 F 0 R 74110 W 0 c 18 w 70 I 0 O 136 L 3.00 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:59:33 mri_label2label N 12 3.00 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA6_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA6_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 7035 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 7035 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 712 Checking for and removing duplicates Writing label file ./lh.BA6_exvivo.thresh.label 7747 mri_label2label: Done @#@FSTIME 2017:01:19:21:59:33 mri_label2label N 12 e 13.88 S 0.37 U 13.33 P 98% M 589620 F 0 R 74213 W 0 c 48 w 74 I 0 O 488 L 3.00 3.02 3.00 @#@FSLOADPOST 2017:01:19:21:59:47 mri_label2label N 12 3.00 3.01 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA44_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA44_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1912 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1912 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 225 Checking for and removing duplicates Writing label file ./lh.BA44_exvivo.thresh.label 2137 mri_label2label: Done @#@FSTIME 2017:01:19:21:59:47 mri_label2label N 12 e 11.74 S 0.37 U 11.20 P 98% M 589240 F 0 R 74118 W 0 c 19 w 69 I 0 O 144 L 3.00 3.01 3.00 @#@FSLOADPOST 2017:01:19:21:59:59 mri_label2label N 12 3.00 3.01 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.BA45_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.BA45_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1151 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1151 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 346 Checking for and removing duplicates Writing label file ./lh.BA45_exvivo.thresh.label 1497 mri_label2label: Done @#@FSTIME 2017:01:19:21:59:59 mri_label2label N 12 e 11.41 S 0.37 U 10.90 P 98% M 589180 F 0 R 74101 W 0 c 16 w 58 I 0 O 128 L 3.00 3.01 3.00 @#@FSLOADPOST 2017:01:19:22:00:10 mri_label2label N 12 3.00 3.01 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.V1_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.V1_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3405 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3405 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 1453 Checking for and removing duplicates Writing label file ./lh.V1_exvivo.thresh.label 4858 mri_label2label: Done @#@FSTIME 2017:01:19:22:00:10 mri_label2label N 12 e 12.64 S 0.37 U 12.10 P 98% M 589392 F 0 R 74671 W 0 c 31 w 72 I 0 O 392 L 3.00 3.01 3.00 @#@FSLOADPOST 2017:01:19:22:00:23 mri_label2label N 12 3.00 3.01 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.V2_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.V2_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3334 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3334 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 1939 Checking for and removing duplicates Writing label file ./lh.V2_exvivo.thresh.label 5273 mri_label2label: Done @#@FSTIME 2017:01:19:22:00:23 mri_label2label N 12 e 12.70 S 0.36 U 12.16 P 98% M 589392 F 0 R 74667 W 0 c 27 w 73 I 0 O 432 L 3.00 3.01 3.00 @#@FSLOADPOST 2017:01:19:22:00:36 mri_label2label N 12 3.00 3.01 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.MT_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.MT_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 513 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 513 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 96 Checking for and removing duplicates Writing label file ./lh.MT_exvivo.thresh.label 609 mri_label2label: Done @#@FSTIME 2017:01:19:22:00:36 mri_label2label N 12 e 11.17 S 0.36 U 10.66 P 98% M 589124 F 0 R 74596 W 0 c 15 w 66 I 0 O 48 L 3.08 3.03 3.01 @#@FSLOADPOST 2017:01:19:22:00:47 mri_label2label N 12 3.07 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.entorhinal_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.entorhinal_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 470 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 470 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 14 Checking for and removing duplicates Writing label file ./lh.entorhinal_exvivo.thresh.label 484 mri_label2label: Done @#@FSTIME 2017:01:19:22:00:47 mri_label2label N 12 e 11.15 S 0.39 U 10.59 P 98% M 589120 F 0 R 74081 W 0 c 15 w 71 I 0 O 32 L 3.07 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:00:58 mri_label2label N 12 3.06 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.thresh.label --trgsubject 004 --trglabel ./lh.perirhinal_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./lh.perirhinal_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 450 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 450 nlabel points Performing mapping from target back to the source label 153374 Number of reverse mapping hits = 13 Checking for and removing duplicates Writing label file ./lh.perirhinal_exvivo.thresh.label 463 mri_label2label: Done @#@FSTIME 2017:01:19:22:00:58 mri_label2label N 12 e 11.10 S 0.36 U 10.60 P 98% M 589104 F 0 R 74080 W 0 c 24 w 56 I 0 O 32 L 3.06 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:01:09 mri_label2label N 12 3.05 3.02 3.00 mris_label2annot --s 004 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.label --l lh.BA2_exvivo.label --l lh.BA3a_exvivo.label --l lh.BA3b_exvivo.label --l lh.BA4a_exvivo.label --l lh.BA4p_exvivo.label --l lh.BA6_exvivo.label --l lh.BA44_exvivo.label --l lh.BA45_exvivo.label --l lh.V1_exvivo.label --l lh.V2_exvivo.label --l lh.MT_exvivo.label --l lh.entorhinal_exvivo.label --l lh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label cmdline mris_label2annot --s 004 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.label --l lh.BA2_exvivo.label --l lh.BA3a_exvivo.label --l lh.BA3b_exvivo.label --l lh.BA4a_exvivo.label --l lh.BA4p_exvivo.label --l lh.BA6_exvivo.label --l lh.BA44_exvivo.label --l lh.BA45_exvivo.label --l lh.V1_exvivo.label --l lh.V2_exvivo.label --l lh.MT_exvivo.label --l lh.entorhinal_exvivo.label --l lh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose sysname Linux hostname compute-0-39 machine x86_64 user zkaufman subject 004 hemi lh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 107803 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.BA_exvivo.annot @#@FSTIME 2017:01:19:22:01:09 mris_label2annot N 38 e 2.82 S 0.14 U 2.08 P 78% M 199936 F 0 R 26653 W 0 c 42 w 262 I 0 O 2400 L 3.05 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:01:12 mris_label2annot N 38 3.04 3.02 3.00 mris_label2annot --s 004 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.thresh.label --l lh.BA2_exvivo.thresh.label --l lh.BA3a_exvivo.thresh.label --l lh.BA3b_exvivo.thresh.label --l lh.BA4a_exvivo.thresh.label --l lh.BA4p_exvivo.thresh.label --l lh.BA6_exvivo.thresh.label --l lh.BA44_exvivo.thresh.label --l lh.BA45_exvivo.thresh.label --l lh.V1_exvivo.thresh.label --l lh.V2_exvivo.thresh.label --l lh.MT_exvivo.thresh.label --l lh.entorhinal_exvivo.thresh.label --l lh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label cmdline mris_label2annot --s 004 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.thresh.label --l lh.BA2_exvivo.thresh.label --l lh.BA3a_exvivo.thresh.label --l lh.BA3b_exvivo.thresh.label --l lh.BA4a_exvivo.thresh.label --l lh.BA4p_exvivo.thresh.label --l lh.BA6_exvivo.thresh.label --l lh.BA44_exvivo.thresh.label --l lh.BA45_exvivo.thresh.label --l lh.V1_exvivo.thresh.label --l lh.V2_exvivo.thresh.label --l lh.MT_exvivo.thresh.label --l lh.entorhinal_exvivo.thresh.label --l lh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose sysname Linux hostname compute-0-39 machine x86_64 user zkaufman subject 004 hemi lh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo.thresh nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 125842 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/lh.BA_exvivo.thresh.annot @#@FSTIME 2017:01:19:22:01:12 mris_label2annot N 38 e 2.76 S 0.14 U 2.03 P 78% M 199408 F 0 R 26405 W 0 c 40 w 262 I 0 O 2400 L 3.04 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:01:15 mris_label2annot N 38 3.04 3.02 3.00 mris_anatomical_stats -th3 -mgz -f ../stats/lh.BA_exvivo.stats -b -a ./lh.BA_exvivo.annot -c ./BA_exvivo.ctab 004 lh white computing statistics for each annotation in ./lh.BA_exvivo.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 262929 Total vertex volume 259358 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 1206 700 2053 2.191 0.508 0.136 0.037 22 1.6 BA1_exvivo 4098 2762 6237 2.160 0.496 0.116 0.026 37 4.4 BA2_exvivo 1171 821 1109 1.668 0.302 0.130 0.034 9 1.5 BA3a_exvivo 2481 1682 3481 1.827 0.540 0.115 0.026 25 2.7 BA3b_exvivo 1943 1086 3357 2.612 0.538 0.104 0.034 25 2.6 BA4a_exvivo 1763 1063 2499 2.365 0.423 0.088 0.023 9 1.6 BA4p_exvivo 9558 6303 19875 2.639 0.581 0.122 0.035 115 13.1 BA6_exvivo 2433 1649 5182 2.619 0.549 0.127 0.032 29 3.1 BA44_exvivo 3344 2292 6233 2.399 0.444 0.133 0.034 43 4.2 BA45_exvivo 4245 2995 5646 1.784 0.449 0.146 0.040 65 7.1 V1_exvivo 10045 6691 14584 1.982 0.497 0.151 0.043 159 17.1 V2_exvivo 2171 1484 4004 2.283 0.419 0.128 0.030 29 2.5 MT_exvivo 515 379 1570 3.052 0.499 0.102 0.029 4 0.4 perirhinal_exvivo 598 429 1341 2.646 0.806 0.109 0.029 5 0.7 entorhinal_exvivo @#@FSTIME 2017:01:19:22:01:15 mris_anatomical_stats N 12 e 38.16 S 0.43 U 37.05 P 98% M 605648 F 0 R 81979 W 0 c 45 w 268 I 0 O 136 L 3.04 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:01:53 mris_anatomical_stats N 12 3.07 3.03 3.00 mris_anatomical_stats -th3 -mgz -f ../stats/lh.BA_exvivo.thresh.stats -b -a ./lh.BA_exvivo.thresh.annot -c ./BA_exvivo.thresh.ctab 004 lh white computing statistics for each annotation in ./lh.BA_exvivo.thresh.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 262929 Total vertex volume 259358 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.thresh.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 805 437 1373 2.259 0.497 0.134 0.038 14 1.1 BA1_exvivo 1602 1076 2432 2.125 0.478 0.111 0.026 14 1.6 BA2_exvivo 1025 715 932 1.648 0.291 0.132 0.035 8 1.5 BA3a_exvivo 1599 1081 1742 1.564 0.306 0.095 0.021 11 1.4 BA3b_exvivo 1873 1076 3296 2.615 0.503 0.098 0.030 21 2.3 BA4a_exvivo 1467 872 2021 2.358 0.461 0.087 0.025 8 1.3 BA4p_exvivo 5505 3490 11219 2.668 0.605 0.121 0.038 72 8.1 BA6_exvivo 1618 1092 3713 2.699 0.566 0.128 0.032 21 2.1 BA44_exvivo 1369 947 2859 2.441 0.444 0.143 0.037 19 2.1 BA45_exvivo 4521 3190 6202 1.818 0.466 0.147 0.042 71 7.7 V1_exvivo 5031 3328 6998 1.922 0.511 0.157 0.045 84 9.0 V2_exvivo 545 378 829 2.167 0.292 0.133 0.031 8 0.8 MT_exvivo 262 194 846 3.177 0.454 0.081 0.012 1 0.2 perirhinal_exvivo 310 218 645 2.620 0.631 0.096 0.021 2 0.3 entorhinal_exvivo @#@FSTIME 2017:01:19:22:01:53 mris_anatomical_stats N 12 e 34.20 S 0.30 U 33.25 P 98% M 605652 F 0 R 82170 W 0 c 47 w 259 I 0 O 136 L 3.07 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:02:28 mris_anatomical_stats N 12 3.04 3.03 3.00 #-------------------------------------------- #@# BA_exvivo Labels rh Thu Jan 19 22:02:28 EST 2017 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.label --trgsubject 004 --trglabel ./rh.BA1_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA1_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3962 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3962 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 327 Checking for and removing duplicates Writing label file ./rh.BA1_exvivo.label 4289 mri_label2label: Done @#@FSTIME 2017:01:19:22:02:28 mri_label2label N 12 e 12.57 S 0.36 U 12.00 P 98% M 586116 F 0 R 73848 W 0 c 20 w 87 I 0 O 256 L 3.04 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:02:40 mri_label2label N 12 3.03 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.label --trgsubject 004 --trglabel ./rh.BA2_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA2_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 6687 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 6687 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 463 Checking for and removing duplicates Writing label file ./rh.BA2_exvivo.label 7150 mri_label2label: Done @#@FSTIME 2017:01:19:22:02:40 mri_label2label N 12 e 13.64 S 0.36 U 13.11 P 98% M 586308 F 0 R 73895 W 0 c 32 w 73 I 0 O 424 L 3.03 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:02:54 mri_label2label N 12 3.02 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.label --trgsubject 004 --trglabel ./rh.BA3a_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA3a_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3980 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3980 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 208 Checking for and removing duplicates Writing label file ./rh.BA3a_exvivo.label 4188 mri_label2label: Done @#@FSTIME 2017:01:19:22:02:54 mri_label2label N 12 e 12.53 S 0.38 U 11.99 P 98% M 586104 F 0 R 73844 W 0 c 20 w 65 I 0 O 232 L 3.02 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:03:07 mri_label2label N 12 3.02 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.label --trgsubject 004 --trglabel ./rh.BA3b_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA3b_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4522 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4522 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 323 Checking for and removing duplicates Writing label file ./rh.BA3b_exvivo.label 4845 mri_label2label: Done @#@FSTIME 2017:01:19:22:03:07 mri_label2label N 12 e 12.74 S 0.38 U 12.21 P 98% M 586152 F 0 R 73859 W 0 c 21 w 61 I 0 O 280 L 3.02 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:03:19 mri_label2label N 12 3.01 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.label --trgsubject 004 --trglabel ./rh.BA4a_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA4a_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5747 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5747 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 637 Checking for and removing duplicates Writing label file ./rh.BA4a_exvivo.label 6384 mri_label2label: Done @#@FSTIME 2017:01:19:22:03:20 mri_label2label N 12 e 13.25 S 0.38 U 12.71 P 98% M 586252 F 0 R 73882 W 0 c 26 w 65 I 0 O 392 L 3.01 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:03:33 mri_label2label N 12 3.01 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.label --trgsubject 004 --trglabel ./rh.BA4p_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA4p_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4473 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4473 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 439 Checking for and removing duplicates Writing label file ./rh.BA4p_exvivo.label 4912 mri_label2label: Done @#@FSTIME 2017:01:19:22:03:33 mri_label2label N 12 e 12.77 S 0.38 U 12.22 P 98% M 586160 F 0 R 73857 W 0 c 27 w 71 I 0 O 288 L 3.01 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:03:46 mri_label2label N 12 3.01 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.label --trgsubject 004 --trglabel ./rh.BA6_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA6_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 12256 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 12256 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 1278 Checking for and removing duplicates Writing label file ./rh.BA6_exvivo.label 13534 mri_label2label: Done @#@FSTIME 2017:01:19:22:03:46 mri_label2label N 12 e 15.89 S 0.39 U 15.34 P 99% M 586732 F 0 R 74000 W 0 c 31 w 70 I 0 O 832 L 3.09 3.04 3.01 @#@FSLOADPOST 2017:01:19:22:04:02 mri_label2label N 12 3.07 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.label --trgsubject 004 --trglabel ./rh.BA44_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA44_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 6912 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 6912 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 1359 Checking for and removing duplicates Writing label file ./rh.BA44_exvivo.label 8271 mri_label2label: Done @#@FSTIME 2017:01:19:22:04:02 mri_label2label N 12 e 13.73 S 0.36 U 13.20 P 98% M 586360 F 0 R 73907 W 0 c 26 w 70 I 0 O 576 L 3.07 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:04:15 mri_label2label N 12 3.06 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.label --trgsubject 004 --trglabel ./rh.BA45_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA45_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5355 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5355 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 1637 Checking for and removing duplicates Writing label file ./rh.BA45_exvivo.label 6992 mri_label2label: Done @#@FSTIME 2017:01:19:22:04:16 mri_label2label N 12 e 13.10 S 0.35 U 12.59 P 98% M 586260 F 0 R 73884 W 0 c 25 w 65 I 0 O 544 L 3.06 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:04:29 mri_label2label N 12 3.19 3.06 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.label --trgsubject 004 --trglabel ./rh.V1_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.V1_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4727 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4727 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 2199 Checking for and removing duplicates Writing label file ./rh.V1_exvivo.label 6926 mri_label2label: Done @#@FSTIME 2017:01:19:22:04:29 mri_label2label N 12 e 13.27 S 0.34 U 12.74 P 98% M 586228 F 0 R 73874 W 0 c 25 w 75 I 0 O 544 L 3.19 3.06 3.01 @#@FSLOADPOST 2017:01:19:22:04:42 mri_label2label N 12 3.15 3.06 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.label --trgsubject 004 --trglabel ./rh.V2_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.V2_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 8016 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 8016 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 4015 Checking for and removing duplicates Writing label file ./rh.V2_exvivo.label 12031 mri_label2label: Done @#@FSTIME 2017:01:19:22:04:42 mri_label2label N 12 e 14.94 S 0.38 U 14.37 P 98% M 586528 F 0 R 73951 W 0 c 33 w 81 I 0 O 952 L 3.15 3.06 3.01 @#@FSLOADPOST 2017:01:19:22:04:57 mri_label2label N 12 3.11 3.05 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.label --trgsubject 004 --trglabel ./rh.MT_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.MT_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1932 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1932 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 872 Checking for and removing duplicates Writing label file ./rh.MT_exvivo.label 2804 mri_label2label: Done @#@FSTIME 2017:01:19:22:04:57 mri_label2label N 12 e 11.83 S 0.37 U 11.30 P 98% M 585972 F 0 R 73811 W 0 c 19 w 61 I 0 O 232 L 3.11 3.05 3.01 @#@FSLOADPOST 2017:01:19:22:05:09 mri_label2label N 12 3.10 3.05 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.label --trgsubject 004 --trglabel ./rh.entorhinal_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.entorhinal_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1038 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1038 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 115 Checking for and removing duplicates Writing label file ./rh.entorhinal_exvivo.label 1153 mri_label2label: Done @#@FSTIME 2017:01:19:22:05:09 mri_label2label N 12 e 11.31 S 0.37 U 10.79 P 98% M 585888 F 0 R 73790 W 0 c 18 w 63 I 0 O 80 L 3.10 3.05 3.01 @#@FSLOADPOST 2017:01:19:22:05:20 mri_label2label N 12 3.08 3.05 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.label --trgsubject 004 --trglabel ./rh.perirhinal_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.perirhinal_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 752 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 752 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 95 Checking for and removing duplicates Writing label file ./rh.perirhinal_exvivo.label 847 mri_label2label: Done @#@FSTIME 2017:01:19:22:05:20 mri_label2label N 12 e 11.17 S 0.34 U 10.70 P 98% M 585864 F 0 R 73784 W 0 c 15 w 56 I 0 O 64 L 3.08 3.05 3.01 @#@FSLOADPOST 2017:01:19:22:05:32 mri_label2label N 12 3.06 3.05 3.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA1_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA1_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 876 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 876 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 103 Checking for and removing duplicates Writing label file ./rh.BA1_exvivo.thresh.label 979 mri_label2label: Done @#@FSTIME 2017:01:19:22:05:32 mri_label2label N 12 e 11.27 S 0.38 U 10.72 P 98% M 585888 F 0 R 73791 W 0 c 16 w 66 I 0 O 64 L 3.06 3.05 3.01 @#@FSLOADPOST 2017:01:19:22:05:43 mri_label2label N 12 3.05 3.05 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA2_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA2_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2688 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2688 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 129 Checking for and removing duplicates Writing label file ./rh.BA2_exvivo.thresh.label 2817 mri_label2label: Done @#@FSTIME 2017:01:19:22:05:43 mri_label2label N 12 e 12.00 S 0.36 U 11.47 P 98% M 585992 F 0 R 73817 W 0 c 18 w 69 I 0 O 160 L 3.05 3.05 3.00 @#@FSLOADPOST 2017:01:19:22:05:55 mri_label2label N 12 3.04 3.04 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA3a_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA3a_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1698 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1698 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 70 Checking for and removing duplicates Writing label file ./rh.BA3a_exvivo.thresh.label 1768 mri_label2label: Done @#@FSTIME 2017:01:19:22:05:55 mri_label2label N 12 e 11.58 S 0.35 U 11.09 P 98% M 585944 F 0 R 73803 W 0 c 17 w 58 I 0 O 104 L 3.04 3.04 3.00 @#@FSLOADPOST 2017:01:19:22:06:07 mri_label2label N 12 3.03 3.04 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA3b_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA3b_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2183 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2183 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 162 Checking for and removing duplicates Writing label file ./rh.BA3b_exvivo.thresh.label 2345 mri_label2label: Done @#@FSTIME 2017:01:19:22:06:07 mri_label2label N 12 e 11.78 S 0.37 U 11.27 P 98% M 585988 F 0 R 73814 W 0 c 20 w 61 I 0 O 144 L 3.03 3.04 3.00 @#@FSLOADPOST 2017:01:19:22:06:19 mri_label2label N 12 3.03 3.04 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA4a_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA4a_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1388 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1388 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 165 Checking for and removing duplicates Writing label file ./rh.BA4a_exvivo.thresh.label 1553 mri_label2label: Done @#@FSTIME 2017:01:19:22:06:19 mri_label2label N 12 e 11.47 S 0.35 U 10.96 P 98% M 585928 F 0 R 73800 W 0 c 16 w 62 I 0 O 96 L 3.03 3.04 3.00 @#@FSLOADPOST 2017:01:19:22:06:30 mri_label2label N 12 3.02 3.04 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA4p_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA4p_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1489 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1489 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 178 Checking for and removing duplicates Writing label file ./rh.BA4p_exvivo.thresh.label 1667 mri_label2label: Done @#@FSTIME 2017:01:19:22:06:30 mri_label2label N 12 e 11.05 S 0.32 U 10.57 P 98% M 585916 F 0 R 73798 W 0 c 17 w 68 I 0 O 104 L 3.02 3.04 3.00 @#@FSLOADPOST 2017:01:19:22:06:41 mri_label2label N 12 3.02 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA6_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA6_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 6959 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 6959 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 632 Checking for and removing duplicates Writing label file ./rh.BA6_exvivo.thresh.label 7591 mri_label2label: Done @#@FSTIME 2017:01:19:22:06:41 mri_label2label N 12 e 13.75 S 0.36 U 13.21 P 98% M 586340 F 0 R 73901 W 0 c 26 w 69 I 0 O 464 L 3.02 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:06:55 mri_label2label N 12 3.01 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA44_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA44_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1012 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1012 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 308 Checking for and removing duplicates Writing label file ./rh.BA44_exvivo.thresh.label 1320 mri_label2label: Done @#@FSTIME 2017:01:19:22:06:55 mri_label2label N 12 e 11.31 S 0.38 U 10.78 P 98% M 585900 F 0 R 73793 W 0 c 18 w 62 I 0 O 112 L 3.01 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:07:06 mri_label2label N 12 3.01 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.BA45_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.BA45_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1178 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1178 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 417 Checking for and removing duplicates Writing label file ./rh.BA45_exvivo.thresh.label 1595 mri_label2label: Done @#@FSTIME 2017:01:19:22:07:06 mri_label2label N 12 e 11.38 S 0.36 U 10.87 P 98% M 585912 F 0 R 73796 W 0 c 18 w 59 I 0 O 128 L 3.01 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:07:18 mri_label2label N 12 3.01 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.V1_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.V1_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3232 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3232 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 1500 Checking for and removing duplicates Writing label file ./rh.V1_exvivo.thresh.label 4732 mri_label2label: Done @#@FSTIME 2017:01:19:22:07:18 mri_label2label N 12 e 12.50 S 0.36 U 11.97 P 98% M 586092 F 0 R 73845 W 0 c 22 w 65 I 0 O 368 L 3.01 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:07:30 mri_label2label N 12 3.01 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.V2_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.V2_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3437 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3437 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 1893 Checking for and removing duplicates Writing label file ./rh.V2_exvivo.thresh.label 5330 mri_label2label: Done @#@FSTIME 2017:01:19:22:07:30 mri_label2label N 12 e 12.68 S 0.38 U 12.12 P 98% M 586112 F 0 R 73848 W 0 c 22 w 75 I 0 O 432 L 3.01 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:07:43 mri_label2label N 12 3.00 3.03 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.MT_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.MT_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 268 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 268 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 101 Checking for and removing duplicates Writing label file ./rh.MT_exvivo.thresh.label 369 mri_label2label: Done @#@FSTIME 2017:01:19:22:07:43 mri_label2label N 12 e 11.01 S 0.40 U 10.46 P 98% M 585836 F 0 R 73769 W 0 c 16 w 62 I 0 O 32 L 3.00 3.03 3.00 @#@FSLOADPOST 2017:01:19:22:07:54 mri_label2label N 12 3.00 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.entorhinal_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.entorhinal_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 694 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 694 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 77 Checking for and removing duplicates Writing label file ./rh.entorhinal_exvivo.thresh.label 771 mri_label2label: Done @#@FSTIME 2017:01:19:22:07:54 mri_label2label N 12 e 11.15 S 0.36 U 10.66 P 98% M 585860 F 0 R 73781 W 0 c 15 w 56 I 0 O 56 L 3.00 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:08:05 mri_label2label N 12 3.00 3.02 3.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.thresh.label --trgsubject 004 --trglabel ./rh.perirhinal_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 004 trglabel = ./rh.perirhinal_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 291 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 291 nlabel points Performing mapping from target back to the source label 152106 Number of reverse mapping hits = 46 Checking for and removing duplicates Writing label file ./rh.perirhinal_exvivo.thresh.label 337 mri_label2label: Done @#@FSTIME 2017:01:19:22:08:06 mri_label2label N 12 e 10.99 S 0.38 U 10.47 P 98% M 585836 F 0 R 73769 W 0 c 15 w 60 I 0 O 32 L 3.00 3.02 3.00 @#@FSLOADPOST 2017:01:19:22:08:17 mri_label2label N 12 3.07 3.04 3.00 mris_label2annot --s 004 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.label --l rh.BA2_exvivo.label --l rh.BA3a_exvivo.label --l rh.BA3b_exvivo.label --l rh.BA4a_exvivo.label --l rh.BA4p_exvivo.label --l rh.BA6_exvivo.label --l rh.BA44_exvivo.label --l rh.BA45_exvivo.label --l rh.V1_exvivo.label --l rh.V2_exvivo.label --l rh.MT_exvivo.label --l rh.entorhinal_exvivo.label --l rh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label cmdline mris_label2annot --s 004 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.label --l rh.BA2_exvivo.label --l rh.BA3a_exvivo.label --l rh.BA3b_exvivo.label --l rh.BA4a_exvivo.label --l rh.BA4p_exvivo.label --l rh.BA6_exvivo.label --l rh.BA44_exvivo.label --l rh.BA45_exvivo.label --l rh.V1_exvivo.label --l rh.V2_exvivo.label --l rh.MT_exvivo.label --l rh.entorhinal_exvivo.label --l rh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose sysname Linux hostname compute-0-39 machine x86_64 user zkaufman subject 004 hemi rh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 105645 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.BA_exvivo.annot @#@FSTIME 2017:01:19:22:08:17 mris_label2annot N 38 e 2.80 S 0.13 U 2.08 P 78% M 198420 F 0 R 26257 W 0 c 40 w 263 I 0 O 2384 L 3.07 3.04 3.00 @#@FSLOADPOST 2017:01:19:22:08:19 mris_label2annot N 38 3.07 3.04 3.00 mris_label2annot --s 004 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.thresh.label --l rh.BA2_exvivo.thresh.label --l rh.BA3a_exvivo.thresh.label --l rh.BA3b_exvivo.thresh.label --l rh.BA4a_exvivo.thresh.label --l rh.BA4p_exvivo.thresh.label --l rh.BA6_exvivo.thresh.label --l rh.BA44_exvivo.thresh.label --l rh.BA45_exvivo.thresh.label --l rh.V1_exvivo.thresh.label --l rh.V2_exvivo.thresh.label --l rh.MT_exvivo.thresh.label --l rh.entorhinal_exvivo.thresh.label --l rh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label cmdline mris_label2annot --s 004 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.thresh.label --l rh.BA2_exvivo.thresh.label --l rh.BA3a_exvivo.thresh.label --l rh.BA3b_exvivo.thresh.label --l rh.BA4a_exvivo.thresh.label --l rh.BA4p_exvivo.thresh.label --l rh.BA6_exvivo.thresh.label --l rh.BA44_exvivo.thresh.label --l rh.BA45_exvivo.thresh.label --l rh.V1_exvivo.thresh.label --l rh.V2_exvivo.thresh.label --l rh.MT_exvivo.thresh.label --l rh.entorhinal_exvivo.thresh.label --l rh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose sysname Linux hostname compute-0-39 machine x86_64 user zkaufman subject 004 hemi rh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo.thresh nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 126069 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/label/rh.BA_exvivo.thresh.annot @#@FSTIME 2017:01:19:22:08:19 mris_label2annot N 38 e 2.75 S 0.14 U 2.01 P 78% M 197788 F 0 R 26513 W 0 c 41 w 262 I 0 O 2384 L 3.07 3.04 3.00 @#@FSLOADPOST 2017:01:19:22:08:22 mris_label2annot N 38 3.06 3.04 3.00 mris_anatomical_stats -th3 -mgz -f ../stats/rh.BA_exvivo.stats -b -a ./rh.BA_exvivo.annot -c ./BA_exvivo.ctab 004 rh white computing statistics for each annotation in ./rh.BA_exvivo.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 262977 Total vertex volume 258674 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 974 553 1678 2.222 0.434 0.133 0.045 16 1.4 BA1_exvivo 3424 2253 4682 2.061 0.381 0.112 0.028 31 3.6 BA2_exvivo 1170 776 1056 1.713 0.386 0.120 0.031 9 1.6 BA3a_exvivo 2062 1334 2507 1.697 0.474 0.105 0.029 21 2.2 BA3b_exvivo 1751 1062 3288 2.550 0.503 0.116 0.044 27 3.4 BA4a_exvivo 1429 891 1927 2.284 0.417 0.112 0.031 11 1.8 BA4p_exvivo 8591 5669 17729 2.618 0.576 0.124 0.034 103 11.5 BA6_exvivo 4027 2707 7527 2.498 0.463 0.122 0.030 48 5.0 BA44_exvivo 5113 3577 9620 2.338 0.516 0.140 0.038 76 7.9 BA45_exvivo 4587 3067 5800 1.777 0.479 0.148 0.046 78 8.7 V1_exvivo 9636 6298 13920 2.019 0.512 0.150 0.042 155 15.6 V2_exvivo 2656 1838 4406 2.228 0.425 0.135 0.032 34 3.5 MT_exvivo 623 447 2012 3.228 0.761 0.108 0.023 5 0.5 perirhinal_exvivo 418 302 981 2.684 0.937 0.129 0.032 7 0.5 entorhinal_exvivo @#@FSTIME 2017:01:19:22:08:22 mris_anatomical_stats N 12 e 38.56 S 0.43 U 37.46 P 98% M 600680 F 0 R 81637 W 0 c 47 w 265 I 0 O 136 L 3.06 3.04 3.00 @#@FSLOADPOST 2017:01:19:22:09:01 mris_anatomical_stats N 12 3.08 3.05 3.01 mris_anatomical_stats -th3 -mgz -f ../stats/rh.BA_exvivo.thresh.stats -b -a ./rh.BA_exvivo.thresh.annot -c ./BA_exvivo.thresh.ctab 004 rh white computing statistics for each annotation in ./rh.BA_exvivo.thresh.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/004/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 262977 Total vertex volume 258674 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.thresh.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1798722 mm^3 (det: 1.083050 ) lhCtxGM: 259221.573 259061.000 diff= 160.6 pctdiff= 0.062 rhCtxGM: 258713.044 258423.000 diff= 290.0 pctdiff= 0.112 lhCtxWM: 239218.899 239320.000 diff= -101.1 pctdiff=-0.042 rhCtxWM: 236617.189 237104.000 diff= -486.8 pctdiff=-0.206 SubCortGMVol 66911.000 SupraTentVol 1131346.706 (1129894.000) diff=1452.706 pctdiff=0.128 SupraTentVolNotVent 1062303.706 (1060851.000) diff=1452.706 pctdiff=0.137 BrainSegVol 1262276.000 (1258567.000) diff=3709.000 pctdiff=0.294 BrainSegVolNotVent 1187271.000 (1186951.706) diff=319.294 pctdiff=0.027 BrainSegVolNotVent 1187271.000 CerebellumVol 126238.000 VentChorVol 69043.000 3rd4th5thCSF 5962.000 CSFVol 2253.000, OptChiasmVol 182.000 MaskVol 1740098.000 693 374 1074 2.063 0.456 0.118 0.038 10 0.8 BA1_exvivo 1816 1176 2493 2.022 0.378 0.105 0.026 16 1.8 BA2_exvivo 1044 695 897 1.707 0.370 0.119 0.032 7 1.4 BA3a_exvivo 1642 1076 1733 1.565 0.365 0.095 0.023 12 1.5 BA3b_exvivo 1065 647 2095 2.541 0.584 0.125 0.051 14 2.1 BA4a_exvivo 1193 750 1579 2.312 0.406 0.114 0.036 18 2.1 BA4p_exvivo 5455 3573 11087 2.608 0.582 0.123 0.034 64 7.1 BA6_exvivo 1221 848 2840 2.656 0.472 0.130 0.036 18 1.8 BA44_exvivo 1462 1040 2834 2.359 0.451 0.145 0.043 24 2.6 BA45_exvivo 4356 2894 5362 1.762 0.475 0.144 0.045 69 8.1 V1_exvivo 5089 3360 6701 1.881 0.465 0.158 0.045 92 9.3 V2_exvivo 332 249 800 2.512 0.500 0.162 0.053 6 0.6 MT_exvivo 386 267 1286 3.370 0.708 0.101 0.019 3 0.3 perirhinal_exvivo 283 215 666 2.711 0.999 0.143 0.027 5 0.3 entorhinal_exvivo @#@FSTIME 2017:01:19:22:09:01 mris_anatomical_stats N 12 e 38.87 S 0.55 U 37.67 P 98% M 600684 F 0 R 81429 W 0 c 42 w 258 I 0 O 136 L 3.08 3.05 3.01 @#@FSLOADPOST 2017:01:19:22:09:40 mris_anatomical_stats N 12 3.04 3.04 3.00 Started at Thu Jan 19 03:19:13 EST 2017 Ended at Thu Jan 19 22:09:40 EST 2017 #@#%# recon-all-run-time-hours 18.841 recon-all -s 004 finished without error at Thu Jan 19 22:09:40 EST 2017 New invocation of recon-all Mon Feb 27 22:45:32 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004 /usr/local/freesurfer/stable6_0_0/bin/recon-all -s 004 -qcache subjid 004 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial FREESURFER_HOME /usr/local/freesurfer/stable6_0_0 Actual FREESURFER_HOME /autofs/cluster/freesurfer/centos6_x86_64/stable6_0_0 build-stamp.txt: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux cputime unlimited filesize unlimited datasize unlimited stacksize 10240 kbytes coredumpsize 0 kbytes memoryuse unlimited vmemoryuse 7340032 kbytes descriptors 32768 memorylocked unlimited maxproc 128314 total used free shared buffers cached Mem: 32877136 3271416 29605720 168 163908 2482812 -/+ buffers/cache: 624696 32252440 Swap: 67108860 22180 67086680 pbsjob 13634226.launchpad.nmr.mgh.harvard.edu ######################################## program versions used $Id: recon-all,v 1.580.2.16 2017/01/18 14:11:24 zkaufman Exp $ $Id: mri_motion_correct.fsl,v 1.15 2016/02/16 17:17:20 zkaufman Exp $ mri_convert.bin -all-info ProgramName: mri_convert.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:33-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 FLIRT version 5.5 $Id: talairach_avi,v 1.13 2015/12/23 04:25:17 greve Exp $ mri_convert.bin --version stable6 ProgramName: tkregister2_cmdl ProgramArguments: --all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:33-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: tkregister2.c,v 1.132.2.1 2016/08/02 21:17:29 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 ProgramName: mri_make_uchar ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:37-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_make_uchar.c,v 1.4 2011/03/02 00:04:14 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize.c,v 1.88.2.3 2016/12/27 16:47:13 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_watershed.cpp,v 1.103 2016/06/17 18:00:49 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_gcut ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_gcut.cpp,v 1.14 2011/03/02 00:04:16 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segment.c,v 1.43.2.1 2016/10/27 22:24:52 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_label2label.bin ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_label2label.c,v 1.48.2.2 2016/12/12 14:15:26 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_em_register.c,v 1.105.2.1 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_normalize.c,v 1.67.2.2 2016/10/27 22:25:09 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_register.c,v 1.96.2.3 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_label.c,v 1.113.2.2 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_pretess ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:38-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_pretess.c,v 1.22 2013/08/30 18:12:25 mreuter Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fill.c,v 1.119 2011/10/25 14:09:58 fischl Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_concatenate_lta.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_concatenate_lta.c,v 1.16 2015/11/21 00:06:20 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize_tp2 ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize_tp2.c,v 1.8 2011/03/02 00:04:23 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_smooth.c,v 1.30 2014/01/21 18:48:21 fischl Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_inflate.c,v 1.45 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature.c,v 1.31 2011/03/02 00:04:30 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_topo_fixer ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:39-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_topo_fixer.cpp,v 1.29 2011/03/02 00:04:34 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_euler_number.c,v 1.10 2013/01/14 22:39:14 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_volmask ProgramArguments: --all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_volmask.cpp,v 1.26.2.2 2016/11/18 20:05:18 zkaufman Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_anatomical_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_anatomical_stats.c,v 1.79 2016/03/14 15:15:34 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mrisp_paint.c,v 1.12 2016/03/22 14:47:57 fischl Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature_stats.c,v 1.65 2015/06/04 20:50:51 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_calc ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_calc.c,v 1.54.2.1 2016/09/27 18:51:28 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ ProgramName: mri_robust_register.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:40-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ ProgramName: mri_robust_template ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:41-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_and ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:41-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_and.c,v 1.4 2011/03/02 00:04:13 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_or ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:41-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_or.c,v 1.5 2013/03/20 15:03:29 lzollei Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fuse_segmentations ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:41-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fuse_segmentations.c,v 1.8 2011/03/02 00:04:15 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segstats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:41-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_relabel_hypointensities ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:45:41-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_relabel_hypointensities.c,v 1.13 2015/05/15 18:44:10 nicks Exp $ User: zkaufman Machine: compute-0-122 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ####################################### GCADIR /usr/local/freesurfer/stable6_0_0/average GCA RB_all_2016-05-10.vc700.gca GCASkull RB_all_withskull_2016-05-10.vc700.gca AvgCurvTif folding.atlas.acfb40.noaparc.i12.2016-08-02.tif GCSDIR /usr/local/freesurfer/stable6_0_0/average GCS DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ####################################### INFO: fsaverage subject does not exist in SUBJECTS_DIR INFO: Creating symlink to fsaverage subject... cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial; ln -s /usr/local/freesurfer/stable6_0_0/subjects/fsaverage; cd - #-------------------------------------------- #@# Qdec Cache preproc lh thickness fsaverage Mon Feb 27 22:45:42 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas thickness --target fsaverage --out lh.thickness.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.18237 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.thickness.fsaverage.mris_preproc.log Mon Feb 27 22:45:42 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas thickness --target fsaverage --out lh.thickness.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.18237 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:45:42 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.18237/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.thickness --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.18237/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.thickness --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.thickness srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.18237/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.thickness Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (153374) Reverse Loop had 30852 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.18237/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.18237/004.1.mgh --o lh.thickness.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.thickness.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.18237 Mon Feb 27 22:45:51 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh area fsaverage Mon Feb 27 22:45:51 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas area --target fsaverage --out lh.area.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.18618 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.area.fsaverage.mris_preproc.log Mon Feb 27 22:45:51 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas area --target fsaverage --out lh.area.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.18618 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:45:51 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.18618/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.18618/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.18618/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (153374) Reverse Loop had 30852 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.18618/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.18618/004.1.mgh --o lh.area.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.area.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.18618 Mon Feb 27 22:46:02 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh area.pial fsaverage Mon Feb 27 22:46:02 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas area.pial --target fsaverage --out lh.area.pial.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.19372 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.area.pial.fsaverage.mris_preproc.log Mon Feb 27 22:46:03 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas area.pial --target fsaverage --out lh.area.pial.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.19372 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:46:03 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.19372/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area.pial --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.19372/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area.pial --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area.pial srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.19372/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.area.pial Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (153374) Reverse Loop had 30852 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.19372/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.19372/004.1.mgh --o lh.area.pial.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.area.pial.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.19372 Mon Feb 27 22:46:14 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh volume fsaverage Mon Feb 27 22:46:14 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas volume --target fsaverage --out lh.volume.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.20027 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.volume.fsaverage.mris_preproc.log Mon Feb 27 22:46:14 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas volume --target fsaverage --out lh.volume.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.20027 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:46:15 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.20027/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.volume --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.20027/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.volume --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.volume srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.20027/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.volume Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (153374) Reverse Loop had 30852 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.20027/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.20027/004.1.mgh --o lh.volume.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.volume.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.20027 Mon Feb 27 22:46:27 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh curv fsaverage Mon Feb 27 22:46:27 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas curv --target fsaverage --out lh.curv.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.20646 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.curv.fsaverage.mris_preproc.log Mon Feb 27 22:46:27 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas curv --target fsaverage --out lh.curv.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.20646 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:46:28 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.20646/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.curv --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.20646/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.curv --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.curv srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.20646/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.curv Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (153374) Reverse Loop had 30852 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.20646/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.20646/004.1.mgh --o lh.curv.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.curv.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.20646 Mon Feb 27 22:46:38 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh sulc fsaverage Mon Feb 27 22:46:38 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas sulc --target fsaverage --out lh.sulc.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.21085 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.sulc.fsaverage.mris_preproc.log Mon Feb 27 22:46:38 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas sulc --target fsaverage --out lh.sulc.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.21085 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:46:38 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.21085/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sulc --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.21085/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sulc --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sulc srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.21085/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sulc Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (153374) Reverse Loop had 30852 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.21085/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.21085/004.1.mgh --o lh.sulc.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.sulc.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.21085 Mon Feb 27 22:46:48 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh white.K fsaverage Mon Feb 27 22:46:48 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas white.K --target fsaverage --out lh.white.K.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.21671 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.white.K.fsaverage.mris_preproc.log Mon Feb 27 22:46:49 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas white.K --target fsaverage --out lh.white.K.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.21671 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:46:49 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.21671/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.K --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.21671/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.K --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.K srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.21671/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.K Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (153374) Reverse Loop had 30852 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.21671/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.21671/004.1.mgh --o lh.white.K.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.white.K.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.21671 Mon Feb 27 22:46:58 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh white.H fsaverage Mon Feb 27 22:46:58 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas white.H --target fsaverage --out lh.white.H.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.22215 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.white.H.fsaverage.mris_preproc.log Mon Feb 27 22:46:59 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas white.H --target fsaverage --out lh.white.H.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.22215 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:46:59 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.22215/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.H --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.22215/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.H --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.H srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.22215/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.white.H Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (153374) Reverse Loop had 30852 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.22215/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.22215/004.1.mgh --o lh.white.H.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.white.H.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.22215 Mon Feb 27 22:47:09 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh jacobian_white fsaverage Mon Feb 27 22:47:09 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas jacobian_white --target fsaverage --out lh.jacobian_white.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.22785 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.jacobian_white.fsaverage.mris_preproc.log Mon Feb 27 22:47:09 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas jacobian_white --target fsaverage --out lh.jacobian_white.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.22785 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:47:09 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.22785/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.jacobian_white --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.22785/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.jacobian_white --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.jacobian_white srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.22785/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.jacobian_white Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (153374) Reverse Loop had 30852 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.22785/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.22785/004.1.mgh --o lh.jacobian_white.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.jacobian_white.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.22785 Mon Feb 27 22:47:18 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh w-g.pct.mgh fsaverage Mon Feb 27 22:47:18 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi lh --meas w-g.pct.mgh --target fsaverage --out lh.w-g.pct.mgh.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.23352 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is lh.w-g.pct.mgh.fsaverage.mris_preproc.log Mon Feb 27 22:47:18 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi lh --meas w-g.pct.mgh --target fsaverage --out lh.w-g.pct.mgh.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.23352 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:47:18 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.23352/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.w-g.pct.mgh --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.23352/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.w-g.pct.mgh --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.w-g.pct.mgh srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.23352/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/lh.w-g.pct.mgh Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (153374) Reverse Loop had 30852 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 140534, nTrgMulti = 23308, MnTrgMultiHits = 2.32367 nSrc121 = 119489, nSrcLost = 0, nSrcMulti = 33885, MnSrcMultiHits = 2.21942 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.23352/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.23352/004.1.mgh --o lh.w-g.pct.mgh.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.w-g.pct.mgh.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.23352 Mon Feb 27 22:47:28 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh thickness fsaverage Mon Feb 27 22:47:28 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas thickness --target fsaverage --out rh.thickness.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.23933 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.thickness.fsaverage.mris_preproc.log Mon Feb 27 22:47:28 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas thickness --target fsaverage --out rh.thickness.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.23933 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:47:28 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.23933/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.thickness --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.23933/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.thickness --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.thickness srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.23933/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.thickness Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (152106) Reverse Loop had 30005 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.23933/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.23933/004.1.mgh --o rh.thickness.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.thickness.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.23933 Mon Feb 27 22:47:38 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh area fsaverage Mon Feb 27 22:47:38 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas area --target fsaverage --out rh.area.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.24581 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.area.fsaverage.mris_preproc.log Mon Feb 27 22:47:38 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas area --target fsaverage --out rh.area.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.24581 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:47:38 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.24581/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.24581/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.24581/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (152106) Reverse Loop had 30005 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.24581/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.24581/004.1.mgh --o rh.area.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.area.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.24581 Mon Feb 27 22:47:51 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh area.pial fsaverage Mon Feb 27 22:47:51 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas area.pial --target fsaverage --out rh.area.pial.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.25145 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.area.pial.fsaverage.mris_preproc.log Mon Feb 27 22:47:51 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas area.pial --target fsaverage --out rh.area.pial.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.25145 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:47:51 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.25145/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area.pial --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.25145/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area.pial --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area.pial srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.25145/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.area.pial Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (152106) Reverse Loop had 30005 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.25145/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.25145/004.1.mgh --o rh.area.pial.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.area.pial.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.25145 Mon Feb 27 22:48:03 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh volume fsaverage Mon Feb 27 22:48:03 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas volume --target fsaverage --out rh.volume.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.25841 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.volume.fsaverage.mris_preproc.log Mon Feb 27 22:48:04 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas volume --target fsaverage --out rh.volume.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.25841 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:48:04 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.25841/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.volume --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.25841/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.volume --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.volume srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.25841/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.volume Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (152106) Reverse Loop had 30005 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.25841/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.25841/004.1.mgh --o rh.volume.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.volume.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.25841 Mon Feb 27 22:48:17 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh curv fsaverage Mon Feb 27 22:48:17 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas curv --target fsaverage --out rh.curv.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.26623 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.curv.fsaverage.mris_preproc.log Mon Feb 27 22:48:17 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas curv --target fsaverage --out rh.curv.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.26623 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:48:17 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.26623/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.curv --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.26623/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.curv --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.curv srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.26623/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.curv Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (152106) Reverse Loop had 30005 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.26623/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.26623/004.1.mgh --o rh.curv.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.curv.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.26623 Mon Feb 27 22:48:27 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh sulc fsaverage Mon Feb 27 22:48:27 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas sulc --target fsaverage --out rh.sulc.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.27074 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.sulc.fsaverage.mris_preproc.log Mon Feb 27 22:48:27 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas sulc --target fsaverage --out rh.sulc.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.27074 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:48:27 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.27074/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sulc --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.27074/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sulc --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sulc srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.27074/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sulc Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (152106) Reverse Loop had 30005 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.27074/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.27074/004.1.mgh --o rh.sulc.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.sulc.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.27074 Mon Feb 27 22:48:36 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh white.K fsaverage Mon Feb 27 22:48:36 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas white.K --target fsaverage --out rh.white.K.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.27639 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.white.K.fsaverage.mris_preproc.log Mon Feb 27 22:48:37 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas white.K --target fsaverage --out rh.white.K.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.27639 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:48:37 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.27639/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.K --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.27639/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.K --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.K srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.27639/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.K Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (152106) Reverse Loop had 30005 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.27639/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.27639/004.1.mgh --o rh.white.K.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.white.K.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.27639 Mon Feb 27 22:48:47 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh white.H fsaverage Mon Feb 27 22:48:47 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas white.H --target fsaverage --out rh.white.H.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.28101 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.white.H.fsaverage.mris_preproc.log Mon Feb 27 22:48:47 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas white.H --target fsaverage --out rh.white.H.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.28101 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:48:47 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.28101/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.H --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.28101/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.H --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.H srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.28101/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.white.H Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (152106) Reverse Loop had 30005 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.28101/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.28101/004.1.mgh --o rh.white.H.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.white.H.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.28101 Mon Feb 27 22:48:57 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh jacobian_white fsaverage Mon Feb 27 22:48:57 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas jacobian_white --target fsaverage --out rh.jacobian_white.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.28611 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.jacobian_white.fsaverage.mris_preproc.log Mon Feb 27 22:48:57 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas jacobian_white --target fsaverage --out rh.jacobian_white.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.28611 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:48:57 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.28611/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.jacobian_white --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.28611/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.jacobian_white --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.jacobian_white srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.28611/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.jacobian_white Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (152106) Reverse Loop had 30005 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.28611/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.28611/004.1.mgh --o rh.jacobian_white.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.jacobian_white.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.28611 Mon Feb 27 22:49:07 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh w-g.pct.mgh fsaverage Mon Feb 27 22:49:07 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mris_preproc --s 004 --hemi rh --meas w-g.pct.mgh --target fsaverage --out rh.w-g.pct.mgh.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.29083 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf Log file is rh.w-g.pct.mgh.fsaverage.mris_preproc.log Mon Feb 27 22:49:07 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 004 --hemi rh --meas w-g.pct.mgh --target fsaverage --out rh.w-g.pct.mgh.fsaverage.mgh Linux compute-0-122 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.29083 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 004 Mon Feb 27 22:49:07 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.29083/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.w-g.pct.mgh --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --srcsubject 004 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.29083/004.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.w-g.pct.mgh --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = 004 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.w-g.pct.mgh srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.29083/004.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf/rh.w-g.pct.mgh Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (152106) Reverse Loop had 30005 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 141134, nTrgMulti = 22708, MnTrgMultiHits = 2.32134 nSrc121 = 118211, nSrcLost = 0, nSrcMulti = 33895, MnSrcMultiHits = 2.23148 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.29083/004.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.29083/004.1.mgh --o rh.w-g.pct.mgh.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.w-g.pct.mgh.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.29083 Mon Feb 27 22:49:17 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm0 fsaverage Mon Feb 27 22:49:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.thickness.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm5 fsaverage Mon Feb 27 22:49:21 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.thickness.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm10 fsaverage Mon Feb 27 22:49:29 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.thickness.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm15 fsaverage Mon Feb 27 22:49:38 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.thickness.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm20 fsaverage Mon Feb 27 22:49:47 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.thickness.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm25 fsaverage Mon Feb 27 22:49:57 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.thickness.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm0 fsaverage Mon Feb 27 22:50:08 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.area.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm5 fsaverage Mon Feb 27 22:50:12 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.area.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm10 fsaverage Mon Feb 27 22:50:22 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.area.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm15 fsaverage Mon Feb 27 22:50:32 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.area.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm20 fsaverage Mon Feb 27 22:50:42 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.area.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm25 fsaverage Mon Feb 27 22:50:52 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.area.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm0 fsaverage Mon Feb 27 22:51:03 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.area.pial.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm5 fsaverage Mon Feb 27 22:51:07 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.area.pial.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm10 fsaverage Mon Feb 27 22:51:15 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.area.pial.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm15 fsaverage Mon Feb 27 22:51:24 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.area.pial.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm20 fsaverage Mon Feb 27 22:51:36 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.area.pial.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm25 fsaverage Mon Feb 27 22:51:46 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.area.pial.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm0 fsaverage Mon Feb 27 22:51:58 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.volume.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm5 fsaverage Mon Feb 27 22:52:02 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.volume.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm10 fsaverage Mon Feb 27 22:52:12 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.volume.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm15 fsaverage Mon Feb 27 22:52:21 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.volume.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm20 fsaverage Mon Feb 27 22:52:32 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.volume.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm25 fsaverage Mon Feb 27 22:52:44 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.volume.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm0 fsaverage Mon Feb 27 22:52:57 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.curv.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm5 fsaverage Mon Feb 27 22:53:01 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.curv.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm10 fsaverage Mon Feb 27 22:53:10 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.curv.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm15 fsaverage Mon Feb 27 22:53:20 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.curv.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm20 fsaverage Mon Feb 27 22:53:29 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.curv.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm25 fsaverage Mon Feb 27 22:53:40 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.curv.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm0 fsaverage Mon Feb 27 22:53:53 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.sulc.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm5 fsaverage Mon Feb 27 22:53:56 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.sulc.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm10 fsaverage Mon Feb 27 22:54:06 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.sulc.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm15 fsaverage Mon Feb 27 22:54:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.sulc.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm20 fsaverage Mon Feb 27 22:54:28 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.sulc.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm25 fsaverage Mon Feb 27 22:54:39 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.sulc.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm0 fsaverage Mon Feb 27 22:54:50 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.white.K.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm5 fsaverage Mon Feb 27 22:54:54 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.white.K.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm10 fsaverage Mon Feb 27 22:55:03 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.white.K.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm15 fsaverage Mon Feb 27 22:55:12 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.white.K.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm20 fsaverage Mon Feb 27 22:55:23 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.white.K.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm25 fsaverage Mon Feb 27 22:55:34 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.white.K.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm0 fsaverage Mon Feb 27 22:55:45 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.white.H.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm5 fsaverage Mon Feb 27 22:55:50 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.white.H.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm10 fsaverage Mon Feb 27 22:56:00 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.white.H.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm15 fsaverage Mon Feb 27 22:56:09 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.white.H.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm20 fsaverage Mon Feb 27 22:56:19 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.white.H.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm25 fsaverage Mon Feb 27 22:56:30 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.white.H.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm0 fsaverage Mon Feb 27 22:56:41 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.jacobian_white.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm5 fsaverage Mon Feb 27 22:56:46 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.jacobian_white.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm10 fsaverage Mon Feb 27 22:56:54 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.jacobian_white.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm15 fsaverage Mon Feb 27 22:57:04 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.jacobian_white.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm20 fsaverage Mon Feb 27 22:57:14 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.jacobian_white.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm25 fsaverage Mon Feb 27 22:57:26 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.jacobian_white.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm0 fsaverage Mon Feb 27 22:57:36 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.w-g.pct.mgh.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm5 fsaverage Mon Feb 27 22:57:41 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.w-g.pct.mgh.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm10 fsaverage Mon Feb 27 22:57:50 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.w-g.pct.mgh.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm15 fsaverage Mon Feb 27 22:58:00 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.w-g.pct.mgh.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm20 fsaverage Mon Feb 27 22:58:11 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.w-g.pct.mgh.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm25 fsaverage Mon Feb 27 22:58:22 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.w-g.pct.mgh.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm0 fsaverage Mon Feb 27 22:58:33 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.thickness.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm5 fsaverage Mon Feb 27 22:58:38 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.thickness.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm10 fsaverage Mon Feb 27 22:58:46 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.thickness.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm15 fsaverage Mon Feb 27 22:58:55 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.thickness.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm20 fsaverage Mon Feb 27 22:59:05 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.thickness.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm25 fsaverage Mon Feb 27 22:59:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.thickness.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm0 fsaverage Mon Feb 27 22:59:30 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.area.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm5 fsaverage Mon Feb 27 22:59:34 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.area.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm10 fsaverage Mon Feb 27 22:59:45 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.area.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm15 fsaverage Mon Feb 27 22:59:56 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.area.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm20 fsaverage Mon Feb 27 23:00:08 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.area.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm25 fsaverage Mon Feb 27 23:00:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.area.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm0 fsaverage Mon Feb 27 23:00:29 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.area.pial.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm5 fsaverage Mon Feb 27 23:00:33 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.area.pial.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm10 fsaverage Mon Feb 27 23:00:42 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.area.pial.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm15 fsaverage Mon Feb 27 23:00:51 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.area.pial.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm20 fsaverage Mon Feb 27 23:01:01 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.area.pial.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm25 fsaverage Mon Feb 27 23:01:13 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.area.pial.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm0 fsaverage Mon Feb 27 23:01:26 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.volume.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm5 fsaverage Mon Feb 27 23:01:31 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.volume.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm10 fsaverage Mon Feb 27 23:01:41 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.volume.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm15 fsaverage Mon Feb 27 23:01:51 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.volume.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm20 fsaverage Mon Feb 27 23:02:02 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.volume.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm25 fsaverage Mon Feb 27 23:02:14 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.volume.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm0 fsaverage Mon Feb 27 23:02:26 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.curv.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm5 fsaverage Mon Feb 27 23:02:30 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.curv.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm10 fsaverage Mon Feb 27 23:02:38 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.curv.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm15 fsaverage Mon Feb 27 23:02:48 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.curv.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm20 fsaverage Mon Feb 27 23:02:57 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.curv.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm25 fsaverage Mon Feb 27 23:03:08 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.curv.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm0 fsaverage Mon Feb 27 23:03:21 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.sulc.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm5 fsaverage Mon Feb 27 23:03:25 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.sulc.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm10 fsaverage Mon Feb 27 23:03:35 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.sulc.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm15 fsaverage Mon Feb 27 23:03:46 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.sulc.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm20 fsaverage Mon Feb 27 23:03:58 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.sulc.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm25 fsaverage Mon Feb 27 23:04:09 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.sulc.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm0 fsaverage Mon Feb 27 23:04:21 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.white.K.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm5 fsaverage Mon Feb 27 23:04:25 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.white.K.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm10 fsaverage Mon Feb 27 23:04:34 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.white.K.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm15 fsaverage Mon Feb 27 23:04:43 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.white.K.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm20 fsaverage Mon Feb 27 23:04:53 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.white.K.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm25 fsaverage Mon Feb 27 23:05:03 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.white.K.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm0 fsaverage Mon Feb 27 23:05:15 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.white.H.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm5 fsaverage Mon Feb 27 23:05:20 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.white.H.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm10 fsaverage Mon Feb 27 23:05:28 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.white.H.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm15 fsaverage Mon Feb 27 23:05:38 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.white.H.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm20 fsaverage Mon Feb 27 23:05:49 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.white.H.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm25 fsaverage Mon Feb 27 23:06:01 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.white.H.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm0 fsaverage Mon Feb 27 23:06:14 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.jacobian_white.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm5 fsaverage Mon Feb 27 23:06:19 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.jacobian_white.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm10 fsaverage Mon Feb 27 23:06:29 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.jacobian_white.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm15 fsaverage Mon Feb 27 23:06:39 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.jacobian_white.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm20 fsaverage Mon Feb 27 23:06:49 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.jacobian_white.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm25 fsaverage Mon Feb 27 23:07:00 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.jacobian_white.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm0 fsaverage Mon Feb 27 23:07:11 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.w-g.pct.mgh.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm5 fsaverage Mon Feb 27 23:07:16 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.w-g.pct.mgh.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm10 fsaverage Mon Feb 27 23:07:25 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.w-g.pct.mgh.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm15 fsaverage Mon Feb 27 23:07:35 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.w-g.pct.mgh.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm20 fsaverage Mon Feb 27 23:07:45 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.w-g.pct.mgh.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm25 fsaverage Mon Feb 27 23:07:55 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/004/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-122 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.w-g.pct.mgh.fwhm25.fsaverage.mgh Started at Mon Feb 27 22:45:32 EST 2017 Ended at Mon Feb 27 23:08:09 EST 2017 #@#%# recon-all-run-time-hours 0.377 recon-all -s 004 finished without error at Mon Feb 27 23:08:09 EST 2017