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Dear Freesurfer team,
I am running the glm analysis on CBF maps. I have two class and I want to see the group difference regressing out the cortex thickness. I know that I can add the average cortical thickness as one covariable in FSDG file. However, I think it might worth trying to do this with GLM by using a per vertex regressor (thickness).
My fsgd file is like below:
Class Patient Class CTL INPUT subj1 Patient INPUT subj2 CTL ....
My command is below: mri_glmfit --y lh.fsaverage.cbf.sm10.mgz --fsgd fsgd.txt --C contrast.mtx --glmdir lh.output.glmdir --surf fsaverage lh --pvr lh.thickness.sm10.mgz
My contrast matrix is -1 1 0.
I am wondering if what I do is correct or not. Does it make sense or I should use the mean thickness as regressor?
Thank you for your time!
Best regards, Vicky