(1) probably using mri_segstats with "--annot fsaverage lh aparc" and
specifying the --y input to mri_glmfit as the "--i invol" and specify
a "--avgwf" output to get all the subjects.
(2) Yes, you would expected it. I'm not sure what it means if you
don't see it. Maybe a bug somewhere.
(3) You can smooth it with mri_surf2surf or mris_fwhm and specify a
label to smooth in. This will be similar to the full-brain
smoothing except at the edges.
doug
On Fri, 12 Jun 2009, Bruce Fischl wrote:
I'll leave 1-3 for Doug and Nick. As for 4, this is a QA step to make sure
nothing failed in the spherical registration, or the segmentation/surface
reconstruction in that region.
cheers
Bruce
On Thu, 11 Jun 2009 nmal...@mclean.harvard.edu wrote:
Dear all,
1-Is there a way to use mris_anatomical_stats
to calculate mean ROI values on the re-sampled and smoothed individual
subject data that is produced in the pre-processing step, rather than
mapping the ROI back to each subjects’ space? If so what is the
command?
2-If you define a ROI where there is
statistically significant difference (between 2 groups) at the group level
on your average subject and then map the ROI back to each subject’s
space and measure the mean value of say thickness in that ROI, should you
expect to find the same significant difference between the groups that you
are comparing? What does it mean if you don’t for some ROIs?
3- Is there a way to smooth the vertices in a ROI similar to
what is done at the preprocessing level?
4- There is a comment
on wiki (qdec, ROI analysis) that indicates the usefulness of mapping
the ROI back to each ubject's space to 'check the integirty
of your reults'. Could you please elaborate more on this?
Thank you,
Nasim
--
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422
In order to help us help you, please follow the steps in:
surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
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