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
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