Thanks Matt and Tim for your answers. The -cifti-parcellate command seems to be
just what I needed and working fine with the aparc file. I'll have a look at
this new parcellation though, that looks interesting!
Best,
JF
De : Glasser, Matthew [mailto:glass...@wustl.edu]
Envoyé : 12 octobre 2016
We do need to get an MSM binary out with a revised MSMSulc config file. This
will hopefully happen soon, we are just waiting for the author of a software
library to e-mail us back about some licensing stuff.
Peace,
Matt.
From:
Sounds like it made a temporary file for some reason, but the temporary
file was corrupt somehow (found a similar error on the freesurfer list).
You should probably ask the freesurfer list what the problem might be.
Tim
On Wed, Oct 12, 2016 at 12:27 PM, Francesco Sammartino <
Thanks Michael, Donna, and Matt,
RE: Michael, definitely aware this is an inferior approach to true
subject-specific parcellation but given that we don’t have the requisite data
to run the classifier this seems like an appropriate approach to use the
parcellation.
RE: Donna and Matt, thanks
Hi
We are aiming to integrate the new high resolution cortical parcellation
and the 137 resting state networks into our probabilistic tractography (FSL
based) pipeline.
Could you please tell me how should I convert to nifti labelmaps the
content of the file
Hi
We are aiming to integrate the new high resolution cortical parcellation
and the 137 resting state networks into our probabilistic tractography (FSL
based) pipeline.
Could you please tell me how should I convert to nifti labelmaps the
content of the file
If you can’t do MSMAll, then consider using just sulc, rather than sulc+curv.
See figure 4, row B, in Emma Robinson’s paper:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190319/figure/F4/
I have heard David describe curvature as capturing more local folding, sulc
global folding.
In my
