Hi everyone, Does HCP have a specific ROI parcellation that is commonly used/recommended? I would prefer to begin with anatomically (rather than functionally defined) ROIs.
My goal is to parcellate the voxel-wise time series into larger ROIs. I've previously used the Desikan-Killiany atlas, but ideally would be interested in using something with a finer parcellation. The only HCP parcellation I was able to find was the parcellation from the ICA decomposition (resulting in one timeseries per ICA component), with 25, 50, 100, 200, 300 components. However, I don't think this is something I am interested in, as a single node (ie component) may comprise voxels that are scattered across the brain. Is there anything like an anatomical ROI parcellation that's typically used by HCP people? Thanks, Joelle _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
