I don't know, but this might be helpful until Matt/Tim can answer:

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


On Sep 10, 2014, at 1:59 AM, K. Wagstyl <kw...@cam.ac.uk> wrote:

> Thanks Matt - the matlab scripts are working great.
> Can I check the structure for grayordinate data?
> 
> Is it the first 32492 vertices are left hemisphere surface,
> then left subcortical,
> then the next 32492 are right hemisphere surface,
> then right subcortical?
> 
> Cheers,
> Konrad
> 
> On 2014-09-09 20:48, Glasser, Matthew wrote:
>> I¹d recommend option ii.
>> 
>> You can use the surfaces and label data in the
>> ${StudyFolder}/${SubjectID}/MNINonLinear/fsaverage_LR32k folder 
>> together
>> with the dense timeseries data.  To load the data into matlab, you can 
>> use
>> these attached matlab functions together with wb_command and the matlab
>> GIFTI toolbox:
>> 
>> cii = ciftiopen(Œpath/to/file¹,¹path/to/wb_command¹);
>> 
>> CIFTIdata = cii.cdata;
>> 
>> 
>> Some lines of analysis code
>> 
>> newcii = cii;
>> 
>> newcii.cdata = AnalysisOutput;
>> 
>> ciftisave(newcii,¹path/to/newfile¹,¹path/to/wb_command¹);
>> 
>> Or if the data matrix is a different size from what you started with
>> 
>> ciftisavereset(newcii,¹path/to/newfile¹,¹path/to/wb_command¹);
>> 
>> And then you can view your result in Connectome Workbench¹s wb_view on 
>> the
>> 32k standard surfaces.
>> 
>> Peace,
>> 
>> Matt.
>> 
>> On 9/9/14, 10:22 AM, "K. Wagstyl" <kw...@cam.ac.uk> wrote:
>> 
>>> Hi,
>>> 
>>> I'm trying to carry out some analysis on the preprocessed 
>>> resting-state
>>> fMRI but running into some problems with the *.dtseries.nii files.
>>> The first part of the analysis was carried out on structural data in
>>> freesurfer and matlab (using labels etc)
>>> Is there any way of converting the resting-state data into a format 
>>> for
>>> similar analysis?
>>> 
>>> In other words, either
>>> i) mapping the time series to individuals' freesurfer-space vertices
>>> or
>>> ii) importing the grayordinate data into matlab?
>>> 
>>> Thanks,
>>> Konrad
>>> _______________________________________________
>>> HCP-Users mailing list
>>> HCP-Users@humanconnectome.org
>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>> 
>> 
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