Freesurfer et al.,

I'd like to try out some simple cortical thickness regression analysis in mri_glmfit. These would be analyses of one continuous score (e.g., Temperament) and several continuous nuisance variables (e.g., Age, IQ, Site, etc). However, before getting started I wanted to run my fsgd and contrast files by the mailing list to make sure I am entering things correctly. If any freesurfer pros have a free moment I've love to hear if I am on the right track.

My fsgd file looks like the following:

GroupDescriptorFile 1
Title
Temp
MeasurementName thickness
Class Main 
Variables            Temperament Age Scanner Console IQ
Input
Subj1
 Main -2.65 22 3.00 4.00 103.0
Input Subj
2
 Main -2.24 24 3.00 3.00 109.0
Input Subj
3
 Main -1.82 20 1.00 4.00 121.0
Input Subj
4
 Main -1.79 19 3.00 3.00 113.5
Input Subj
5
 Main -1.77 19 1.00 3.00 101.
6
....

My contrast1.mat file is:

0 1 0 0 0 0 

It is my hope that when I call:

mri_glmfit --fsgd GLMFIT/fsgd.txt --y GLMFIT/lh.TEMP.mgh --C GLMFIT/c.txt --surf fsaverage lh --cortex --glmdir GLMFIT/lh.TEMP.output

I am prepping to run a regression looking at the relationship between Temperament and cortical thickness, partialing out age, scanner, console, and IQ. 

Thanks in advance for any help you can offer,
Avram

--
Avram Holmes PhD
Instructor in Psychiatry, Harvard Medical School
Assistant in Research, Massachusetts General Hospital