Differences between revisions 2 and 7 (spanning 5 versions)
Revision 2 as of 2005-09-06 22:20:52
Size: 2324
Editor: anonymous
Comment: missing edit-log entry for this revision
Revision 7 as of 2006-02-09 19:00:39
Size: 1652
Editor: JenniPacheco
Comment:
Deletions are marked like this. Additions are marked like this.
Line 3: Line 3:
== Run mris_glm to compute contrast == == Group Analysis command lines ==
Line 18: Line 18:
Upon successful completion of the estimation step (computed in a prior exercise), mris_glm may be configured on command line with proper options to perform contrast computation: Upon successful completion of the make_average_subject command you should have an average subject in your SUBJECTS_DIR. After successfully completing [wiki:Self:FsTutorial/CreateFsgdFile Exercise A.] and [wiki:Self:FsTutorial/CreateContrastVectors Exercise B.] you should have an FSGD file called my_gender_age.txt and a contrast file called age.mat, both in your SUBJECTS_DIR/stats directory . The following are sample commands, that can be used with the data, to complete a group analysis:
Line 22: Line 22:
mris_glm --hemi lh \
         --trgsubj average \
         --fsgd ./my_gender_age_fsgd.txt doss \
         --beta_in ./beta_doss-thickness-100lh.mgz \
         --var_in ./var_doss-thickness-100lh.mgz \
         --gcv 0 0 1 \
         --ces ./ces_Age_doss-thickness-100lh.mgz \
         --t ./t_Age_doss-thickness-100lh.mgz \
         --sigt ./sigt_Age_doss-thickness-100lh.mgz

mris_preproc --fsgd my_gender_age.txt --target average --hemi lh -- meas thickness --out lh.my_gender_age.thickness.mgh
Line 33: Line 26:

Once this completes, you can do the smoothing step:
Line 34: Line 30:
# For the right hemisphere
mris_glm --hemi rh \
         --trgsubj average \
         --fsgd ./my_gender_age_fsgd.txt doss \
         --beta_in ./beta_doss-thickness-100rh.mgz \
         --var_in ./var_doss-thickness-100rh.mgz \
         --gcv 0 0 1 \
         --ces ./ces_Age_doss-thickness-100rh.mgz \
         --t ./t_Age_doss-thickness-100rh.mgz \
         --sigt ./sigt_Age_doss-thickness-100rh.mgz
mri_surf2surf --hemi lh --s average --sval lh.my_gender_age.thickness.mgh --fwhm 10 --tval lh.my_gender_age.thickness.10.mgh
Line 45: Line 32:
With the above configuration, mris_glm tests the given subjects for straight correlation between thickness and age. The command will read in the regression coefficients (--beta_in) and noise variance (--var_in) that were generated from the estimation process, and save the contrast effect size (ces), t-ratio of the contrast, and the significance of the t-ratio (i.e., t-test) in the same directory, all in paint format.
Line 47: Line 33:
Upon completion, make sure that the following files are available in the directory from which mris_glm was run by typing: Once this is complete, you can move on to test your contrast vector:
Line 49: Line 36:
ls -l ces_Age_doss-thickness-100lh.mgz
ls -l t_Age_doss-thickness-100lh.mgz
ls -l sigt_Age_doss-thickness-100lh.mgz
mri_glmfit --y lh.my_gender_age.thickness.10.mgh --fsgd my_gender_age.txt --glmdir lh.my_gender_age.glmdir --pca --surf --average lh --C age.mat
}}}
Line 53: Line 39:
ls -l ces_Age_doss-thickness-100rh.mgz
ls -l t_Age_doss-thickness-100rh.mgz
ls -l sigt_Age_doss-thickness-100rh.mgz
}}}
in that directory.
Line 59: Line 40:
The commands are the same for the right hemisphere, replacing every '''lh''' with an '''rh'''.

[wiki:FsTutorial top] | [wiki:FsTutorial/GroupAnalysis previous]

Group Analysis command lines

In order to compute the contrats you will first need to change to the tutorial data directory and setup SUBJECTS_DIR:

cd $FREESURFER_HOME/subjects/buckner_data/tutorial_subjs/group_analysis_tutorial
setenv SUBJECTS_DIR ${PWD}

Change into the directory you ran the estimation step in, most likely called 'stats':

cd stats

Upon successful completion of the make_average_subject command you should have an average subject in your SUBJECTS_DIR. After successfully completing [wiki:FsTutorial/CreateFsgdFile Exercise A.] and [wiki:FsTutorial/CreateContrastVectors Exercise B.] you should have an FSGD file called my_gender_age.txt and a contrast file called age.mat, both in your SUBJECTS_DIR/stats directory . The following are sample commands, that can be used with the data, to complete a group analysis:

# For the left hemisphere

mris_preproc --fsgd my_gender_age.txt --target average --hemi lh -- meas thickness --out lh.my_gender_age.thickness.mgh

Once this completes, you can do the smoothing step:

mri_surf2surf --hemi lh --s average --sval lh.my_gender_age.thickness.mgh --fwhm 10 --tval lh.my_gender_age.thickness.10.mgh

Once this is complete, you can move on to test your contrast vector:

mri_glmfit --y lh.my_gender_age.thickness.10.mgh --fsgd my_gender_age.txt --glmdir lh.my_gender_age.glmdir --pca --surf --average lh --C age.mat

The commands are the same for the right hemisphere, replacing every lh with an rh.

FsTutorial/ComputeContrast (last edited 2021-09-22 11:38:51 by DevaniCordero)