The cifti-matlab tools, as currently constituted, load the medial wall,
whereas the python implementation does not.  That is why the two yield a
differing number of grayordinates.

The cifti-matlab tools are a bit of a work in progress.  If you simply
want to load the grayordinates, excluding the medial wall, into matlab you
can alternatively use the 'ciftiopen.m' function available here:
https://wiki.humanconnectome.org/display/PublicData/HCP+Users+FAQ#HCPUsersF
AQ-2.HowdoyougetCIFTIfilesintoMATLAB?

cheers,
-MH

--
Michael Harms, Ph.D.

-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave.           Tel: 314-747-6173
St. Louis, MO  63110                    Email: [email protected]




On 6/2/15 9:53 AM, "Donna Dierker" <[email protected]> wrote:

Hi Philip,

I don't know the python/matlab implementation specifics, but the CIFTI
page may be helpful:

http://www.nitrc.org/projects/cifti/

The format specification
(http://www.nitrc.org/forum/attachment.php?attachid=341&group_id=454&forum_
id=1955) may help.

Donna


On May 29, 2015, at 10:33 AM, "Glasser, Matthew" <[email protected]>
wrote:

> Here is a page that should be helpful to getting started:
>
> https://wiki.humanconnectome.org/display/PublicData/HCP+Users+FAQ
>
> Peace,
>
> Matt.
>
> From: Philip Henningsen <[email protected]>
> Date: Friday, May 29, 2015 at 7:29 AM
> To: "[email protected] Users" <[email protected]>
> Subject: [HCP-Users] Help understanding *_Atlas.dtseries.nii
>
> HI HCP experts
>
> I'm trying to understand how the *_Atlas.dtseries.nii files are
>structured exactly. As I understand it, they are the fMRI images mapped
>to coordinates in the brain, but I'm having trouble understanding exactly
>how to use them. I haven't been successful in finding more detailed
>information about it on the HCP website, but I might simply not know the
>correct place to look. If anyone can point me in the correct direction,
>it would be much appreciated.
>
> Some context:
> I'm attempting to classify the actions done in the MOTOR task using
>various forms of neural networks. So far, I've tried using the sequences
>of fMRI data (the 284x91x109x91 .nii files), but have not achieved better
>than random classification accuracy. A colleague told me that the
>*_Atlas.dtseries.nii files contained the fMRI data mapped to a 2D atlas,
>which would enable me to do 2D convolution without losing information (as
>I would by e.g. collapsing the 3D images to 2D by taking the mean of a
>direction).
>
> Thank you for the attention.
>
> Best regards
>
> Philip
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