You can do this on the surface for the cortex, you will probably want to use -cifti-separate to get the left/right pieces as separate files, then you can use -metric-math for difference/thresholding/masking/etc, and then -metric-vertex-sum with an -integrate option to get an answer in terms of surface area. You might need to be careful near the medial wall, I don't know that our left and right medial wall masks match in our grayordinate space. You can get these medial wall masks from -cifti-separate also, by using the -roi options.
The subcortical gray matter and cerebellum voxels can be extracted by -cifti-separate also, and you can deal with them in the way you are used to. I don't know that there is a good way to combine the surface and volume results. Tim On Thu, Dec 11, 2014 at 3:12 PM, Aaron R <aaro...@gmail.com> wrote: > 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. > > _______________________________________________ > HCP-Users mailing list > HCP-Users@humanconnectome.org > http://lists.humanconnectome.org/mailman/listinfo/hcp-users > _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
