If you have a binary mask or cluster mask, you can use mri_segstats, like mri_segstats --seg binary-or-clustermask.mgz --excludeid 0 --i volumestack.mgz --accumulate --sum volumesum.dat where volumestack.mgz is a stack of the subjects volume (eg, created by mris_preproc)
On 9/29/2020 1:32 PM, Martin Juneja wrote:
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Dear Doug and FreeSurfer team,
Any help with this on an urgent basis would be really appreciated. Sorry for being a little impatient :(. Thank you so much !
---------- Forwarded message --------- From: *Martin Juneja* <mj70481@gmail.com mailto:mj70481@gmail.com> Date: Mon, Sep 28, 2020 at 5:42 PM Subject: Extraction of subject-wise values after permutation test ! To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu mailto:freesurfer@nmr.mgh.harvard.edu>
Hello everyone,
I have significant group differences in volume (controls > patients) for one of the clusters (say C1) - calculated after permutation test using PALM, which gives me following outputs:
*_clustere_tstat_fwep.mgz (this is significant at p < 0.05, number of voxels = 1105) *_clustere_tstat.mgz *_dpv_tstat_fwep.mgz *_dpv_tstat_uncp.mgz *_dpv_tstat.mgz
I was wondering if there is a way to calculate volume values of C1 for each subject (i.e., controls and patients).
Thanks.
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