Thank you a lot.
I found a problem in the last step. When I convert files from gii to annot
using mris_convert : I run mris_convert --annot left.fsaverage164.label.gii
and I get a lot of errors like 'Invalid argument
freadFloat: fread failed
face.v = 0, but face 1 not in vertex 0 face list
Segmentation fault (core dumped)' in the shell.
*Francesco Sammartino MD*
On Wed, Oct 12, 2016 at 11:18 AM, Elam, Jennifer <e...@wustl.edu> wrote:
> Hi Francesco,
> This has been discussed quite a bit on the list. Please see
> and other messages on the thread, especially the discussion of the price
> you pay in terms of spatial fidelity when you convert from surface to
> Also see this article “The Human Connectome Project’s neuroimaging
> approach” <http://www.nature.com/neuro/journal/v19/n9/full/nn.4361.html>
> published in Nature Neuroscience in late August 2016 that discusses this
> Note that FSL is currently working on getting CIFTI compatibility in their
> next release, which should be coming out soon.
> Jennifer Elam, Ph.D.
> Scientific Outreach, Human Connectome Project
> Washington University School of Medicine
> Department of Neuroscience, Box 8108
> 660 South Euclid Avenue
> St. Louis, MO 63110
> *From:* hcp-users-boun...@humanconnectome.org <hcp-users-bounces@
> humanconnectome.org> on behalf of Francesco Sammartino <
> *Sent:* Wednesday, October 12, 2016 8:59:54 AM
> *To:* email@example.com
> *Subject:* [HCP-Users] Extract 137 RSN networks - Glasser et al. - Nature
> 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 Q1-Q6_RelatedParcellation210.
> or direct me to a tutorial/howto on how to project those parcellation
> information to a nifti volume?
> We are heavily based on FSL and it would be great to convert all the files
> in its format.
> Thanks and sorry for the newbie question.
> Francesco Sammartino
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