Name

func2sph-sess - resamples functional data from native space to spherical space

Synopsis

func2sph-sess -analysis (analysisname) -s (subjecname) or -sf (subjectfilename) -d (subjects_dir)

Arguments

Positional Arguments

none

Required Flagged Arguments

-analysis analysisname	session-level functional analysis name
-sf sessidfile ...
-df srchdirfile ...

Optional Flagged Arguments

-hemi hemilist	lh, rh, or <lh rh>
-surf surfacename	resample onto surfacename <white>
-surfreg surfacename	use surfacename for registration <sphere.reg>
-trgsubject subjectname	resample onto subject instead of ico
-icoorder order	icosahedron order 0-7 <7>
-mapmethod method	<nnfr> or nnf
-float2int method	tkreg, floor, round
-projfrac fraction	resample fraction of thickness into gray
-spacedir	save data to spacedir (sph)
-umask umask	set unix file permission mask
-version	print version and exit
-fwhm fwhm	smooth the volume before resampling (good with -synth)
-synth	synthesize volume with white gaussian noise

Outputs

volume1	description
volume2	description

Description

Spatial normalization is the process through which two or more subjects' brains are aligned or registered based on anatomical information. This is so that when the subjects' functional data are averaged together on a voxel-by-voxel basis, the voxels represent the same anatomical location in each subject.

Examples

Example 1

command foo -i f -o out

description

Example 2

command foo -i f -o out -f fvalue

description

Bugs

None

Links

FreeSurfer, FsFast

Methods Description

References

["References/Lastname###"]

Reporting Bugs

Report bugs to <analysis-bugs@nmr.mgh.harvard.edu>

Author/s

Doug Greve, PhD

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description	Spatial normalization is the process through which two or more subjects' brains are aligned or registered based on anatomical information. This is so that when the subjects' functional data are averaged together on a voxel-by-voxel basis, the voxels represent the same anatomical location in each subject.