ok, still pretty easy
mri_segstats --seg ocn.mgh --exclude 0 --i timepoint1.mgh --avgwf
timepoint1.table.dat
where
ocn.mgh is something like cache.th13.abs.sig.ocn.mgh
timepoint1.mgh is the stack of timepoint 1 for all subjects
The output will be a table with subjects on the rows and clusters on the
columns
On 6/16/2020 12:28 PM, miracle ozzoude wrote:
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Thanks Doug.
I ran multiple comparisons to get the clusters. However, I want to
extract the clusters values for the individual timepoints. The paired
t-test does a paired-difference (timepoint1 - timepoint2) and I
presume the significant clusters come from the difference image used
in mri_glmfit. My goal is to extract the clusters values for each of
the timepoints not paired-difference. This is a surface-based analysis.
Best,
Paul
On Tue, Jun 16, 2020 at 11:35 AM Douglas N. Greve
<dgr...@mgh.harvard.edu <mailto:dgr...@mgh.harvard.edu>> wrote:
did you run the correction for multiple comparisons to get your
clusters? If so, then there should be a table with a row for each
subject and a column for each cluster.
On 6/16/2020 11:03 AM, miracle ozzoude wrote:
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Hello,
I ran a pet longitudinal paired t-test analysis with 2 timepoints
using mri_glmfit and I found significant clusters. I want to
extract the values of these significant clusters for each
timepoints. How do I go about doing this?
Thank you.
Best,
Paul.
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