I am using ICA on what would be input to mri_glmfit but since ICA is
multivariate I need to exclude regions that don't have interpretable
thickness or distortion measures. It seems like unknown and corpus
callosum are the two to exclude. Are there any others I should exclude?
I would like to convert the ?h.aparc.annot files to .mgz if that gets me
surface files integer coded with the regions. That way I can binarize
and exclude those regions with avwtools as I will need to convert to
nifti to do the ICA analysis anyway. What would you suggest for this?
Cheers,
-Morgan
Bruce Fischl wrote:
which parcellation are you using?
On Fri, 6 Apr 2007, Morgan Hough wrote:
Thanks Bruce,
Are there any other parcellation units that should be excluded? That
seems to be the only white matter PU.
Cheers,
-Morgan
Bruce Fischl wrote:
Hi Morgan,
no thickness should not be used in the cc.
Bruce
On Fri, 6 Apr 2007, Morgan Hough wrote:
I would like to make a mask for group analysis that excludes the
unknown parcellation area. Since I would like to apply the same
mask to all subjects (I have already brought them into alignment
with mri_preproc), I was wondering how I can convert the average
template label/?h.aparc.annot to a .mgz files that I could then
convert into a mask. Is there an alternative way to produce such a
mask?
As a follow-up question, I was wondering if parcellation areas such
as the corpus callosum should also be excluded from analysis? Are
the thickness estimates made in the corpus callosum parcellation
area interpretable?
Thanks in advance for your time.
Cheers,
-Morgan
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