First, run mris_preproc and mri_surf2surf commands as before to create a
stack of P2 and P3. If you ran mri_glmfit-sim on P1, then you will have
an "ocn" output file. You can run
mri_segstats --i P2P3.stack.mgh --seg ocn.mgh --id N --avgwf
P2P3.means-in-clusterN.dat
where N is the number of your cluster
P2P3.means-in-clusterN.dat will have a row for each subject in the
stack, the value will be the mean in cluster N
On 8/13/18 11:48 PM, Martin Juneja wrote:
External Email - Use Caution
For instance, if there is any way to extract spatial location of
cluster X1 and use this location to extract thickness values of all
the subjects from P2 and P3, that way I can perform two-sample t-test.
I am not sure if that's feasible and if so, then how can we do that?
On Mon, Aug 13, 2018 at 7:04 PM, Martin Juneja <mj70...@gmail.com
<mailto:mj70...@gmail.com>> wrote:
Hi experts,
I found a cluster X1, which showed significant difference in
cortical thickness between two groups C1 and P1, determined
using mris_preproc, mri_surf2surf and mri_glmfit commands.
I am interested in determining if the same cluster X1 has
significantly different cortical thickness group between two other
groups P2 and P3.
I would really appreciate if you could please give me the
step-by-step guidance how this can be done.
Thanks.
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