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