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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
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