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.

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