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?
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