The -cifti-convert command is not the correct command to map volume-based
data onto surfaces, its purpose is to take existing cifti data and convert
it to formats that can be used to a limited extent in utilities that don't
read cifti files (for instance, making what we have referred to as "fake
Hi Amal,
Good to hear from somebody from the SIMEXP lab! I think the functions in
ciftify might work well for your use case. I presented to your lab a little
about this last year.
Let me know if there is anything I can do to help.
Thanks,
Erin
On Wed, Mar 28, 2018 at 4:56 PM, Glasser, Matthew
This is a little tricky, as v1.2.3's wb_command -metric-to-volume-mapping
does not reduce the mapped values by their partial voxel volumes. The
dev_latest build available here should do this reduction by default (with
an option for the old behavior):
http://brainvis.wustl.edu/workbench/
With
I think you might need to contact the Petersen lab for support for their code.
If you have T1w, T2w, field map and fMRI you could use the HCP Pipelines to get
CIFTI timeseries. If you don’t, you might be able to use CIFTIFY, a beta tool
for mapping legacy fMRI data to CIFTI by Erin Dickie:
Hello,
I am trying to convert a nifti 4D volume to cifti format but this command does
not provide a useful image: ./wb_command -cifti-convert -to-nifti
path_to_cifti path_to_nifti
Is it possible to have a CIFTI version inclusing cortical and subcortical areas
? Any insights related to that
I would need to know more about your study to best assist you.
Peace,
Matt.
From:
>
on behalf of Boukhdhir Amal
>
Reply-To: Boukhdhir Amal
Dear all,
I am writing to ask about the “novel partial volume weighted ribbon constrained
volume to surface mapping algorithm” mentioned in the Glasser 2013 paper (p120,
fMRISurface section).
I am currently working on a similar tool to estimate partial volumes within the
voxels of the