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Why wouldn’t you do this in CIFTI space?
Peace,
Matt.
From: Aaron R <[email protected]>
Date: Thursday, December 11, 2014 at 3:12 PM To: "[email protected]" <[email protected]> Subject: [HCP-Users] tfMRI masking, lateralization Dear HCP users,
I'd like to investigate lateralization of activation in task data in some subcortical and surface Brodmann areas. Generally, as far as I know, this is usually done by comparing % of voxels activated at some threshold in a region. Is there any straightforward
way to do this in workbench? I could transform freesurfer masks and use it as a pre-threshold mask in Feat, but isn't there a more "direct" way to get the mask from cifti BA/aseg files? (extract the mask, covert to nifti) Is there anyway to apply a mask to
the region, threshold and get a voxel count, like I would in fslmaths? Also with the surface regions, there aren't "voxels" with which to calculate activation/total. How would I go about converting surface labels to nifti volumes for pre-threshold masking
in Feat? Or is there a better way?
Much thanks.
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- [HCP-Users] tfMRI masking, lateralization Aaron R
- Re: [HCP-Users] tfMRI masking, lateralization Glasser, Matthew
- Re: [HCP-Users] tfMRI masking, lateralization Timothy Coalson
