Hi Freesurferes,
Sorry for my simple and rookie question, I'm a new user and couldn't find my answer after a bit googling.
I have a group of subjects and want to compare their thickness with a baseline (average of my subjects).
I thought to use the mri_avarage to make the baseline (Average of all of my subjects), but don't know how to compare them with the baseline after making the baseline.
Any help would be highly appreciated
Thanks,
Aman
Ps. I have looked into GLM and longitudinal processing tutorials; GLM doesn't work for me as I don't have any variable to regress against; longitudinal processing is also for comparing different time shots of the same subject (my case are 40 different subjects).
Use the GLM approach (cross-sectional, not longitudinal). You don't need a variable to regress against, just set up two groups, with one group being your single subject. Though I'm not sure what you want to gain out of this.
On 07/15/2016 04:08 PM, Aman Montazeri wrote:
Hi Freesurferes,
Sorry for my simple and rookie question, I'm a new user and couldn't find my answer after a bit googling.
I have a group of subjects and want to compare their thickness with a baseline (average of my subjects).
I thought to use the mri_avarage to make the baseline (Average of all of my subjects), but don't know how to compare them with the baseline after making the baseline.
Any help would be highly appreciated
Thanks,
Aman
Ps. I have looked into GLM and longitudinal processing tutorials; GLM doesn't work for me as I don't have any variable to regress against; longitudinal processing is also for comparing different time shots of the same subject (my case are 40 different subjects).
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