NINET lab, Department of Psychiatry, UBC GNU General Public License v3 Yes University of British Columbia (UBC) NITRC hippocampus subregional masks based on gray matter volume covariance The masks were generated by parcellating the human hippocampus with two independent datasets, each of which consisted of 198 T1-weighted structural magnetic resonance imaging images of healthy young subjects. The method was based on gray matter volume (GMV) covariance, which was quantified by a bivariate voxel-to-voxel linear correlation approach, as well as a multivariate masked independent component analysis approach. 2019-3-25 GMVC_hippo_v1.1 2019-1-28 GMVC_hippo_v1.0 hippocampus subregional masks based on gray matter volume covariance GNU General Public License v3, MR http://www.nitrc.org/projects/hippo_gmvc/