Hard to tell from just that view. Was there a lot of brain change with
that time point? Or was there an MRI artifact? If no to both, then you
can upload all the cross, the base, and that one long. Follow
instructions below (you can make one tarball for all subjects)
From the linux command line,
Create the file you want to upload, eg,
cd $SUBJECTS_DIR
tar cvfz subjects.tar.gz ./subject1 ./subject2
Now log into our anonymous FTP site:
ftp surfer.nmr.mgh.harvard.edu
It will ask you for a user name: use "anonymous" (no quotes)
It will ask you for a password: use "anonymous" (no quotes)
cd transfer/incoming
binary
put subjects.tar.gz
Send an email that the file has been and the name of the file.
On 6/9/2020 6:32 PM, Danielian, Laura (NIH/NINDS) [E] wrote:
External Email - Use Caution
Hi, I’ve finished processing a data set that included longitudinal
data and I’m having a problem with a small percentage of the
longitudinal timepoints. To review what I’ve done, I edited all of
the individual (cross-sectional) timepoints until the wm and pial
surfaces were correct, then created the base and edited that until it
looked good, and then created the longitudinal files for each
cross-sectional timepoint. Most of these did not need editing and
some needed slight edits to either wm or brainmask which corrected the
longitudinal surfaces.
However, in a small handful of cases, the wm/pial surfaces were so
distorted that editing would not fix the problem. In these cases,
longitudinal surfaces were very different from both the original
cross-section and base. I’ve tried to attach a file that shows an
example – it might only affect a small portion of the brain but in
these cases I don’t think I could edit it to improve the surfaces. In
the example I attached, red/blue are from the long file and pink/lt
blue are from the base.
Do you have any suggestions for why this might be happening and how to
fix it? I’m running v6.0.
Thanks!
Laura Danielian
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