If you used mri_glmfit, then you can use mri_glmfit-sim to create significant clusters. It will create an annotation of the significant clusters, and you can pass that to mri_segstats along with the stack of thickness images to extract the mean thickness in each cluster.
On 05/12/2016 04:23 AM, Liu Y wrote:
Hi Freesurfers,
I am using the degree of cortical atrophy between two groups. The atrophy rate had no significant difference between two groups, but the average thickness of the baseline and followup showed significant clusters in two regions between the two groups. My question is how to create the ROIs covering the clusters, and then extract the thicknesses on baseline and followup MRIs?
Thanks, Yawu
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