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I am using the fmriprep output which has the dimension of [325325, 238]. E.g. as in the example given using the atlas = datasets.fetch_atlas_surf_destrieux() only has 20484 regions.
What do you suggest to fit the timeseries fmriprep output to an surface atlas?
Best,
The text was updated successfully, but these errors were encountered:
I think there are several options you could try, including resampling the fmriprep output to the atlas of your choice or the other way around. The basic idea would be to use the fmriprep preproc.nii.gzfiles in combination with thedestrieuxatlas`? Maybe the neuromaps package could be helpful to obtain the respective files (e.g. example here)?
HTH, cheers, Peer
P.S.: there's also neurostars for all questions related to neuroimaging, etc.. It's a great community providing a lot of support. Questions like yours are definitely more than welcome there!
Dear all,
I am using the fmriprep output which has the dimension of [325325, 238]. E.g. as in the example given using the atlas = datasets.fetch_atlas_surf_destrieux() only has 20484 regions.
What do you suggest to fit the timeseries fmriprep output to an surface atlas?
Best,
The text was updated successfully, but these errors were encountered: