Is the mc-zabs annot based on thickness differences? If so, you can run 
mri_segstats on the stack from each time point, eg,

mri_segstats ---annot fsaverage lh /path/to/mc-zabs.the13sig.ocn.annot 
--i timepoint1.lh.stack.mgh --avgwf timepoint1.lh.stack.dat --excludeid 0

this will create the .dat file with a row for each input in the stack 
and a column for each cluster


On 05/16/2016 09:43 AM, Liu Y wrote:
> Dear Martin and Douglas,
>
> I created the cluster ROIs (mc-zabs.the13sig.ocn.annot) for the two 
> groups. What is the detailed command line to calculate the baseline 
> and followup cortical thicknesses from the *.long.* directories?
>
> Thanks,
> Yawu
>
> On Thu, May 12, 2016 at 9:07 PM, Martin Reuter 
> <mreu...@nmr.mgh.harvard.edu <mailto:mreu...@nmr.mgh.harvard.edu>> wrote:
>
>     Hi Yawu,
>
>     and both baseline and follow-up surfaces (from the *.long.*
>     directories)
>     are in vertex correspondence, so you can use the ROI on each time
>     point
>     directly.
>
>     Best, Martin
>
>     On 05/12/2016 02:00 PM, Douglas N Greve wrote:
>     > 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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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
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