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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