Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces

Mario Severino, Manuela Moretto, Robert A. McCutcheon +1

Correlation matrices are fundamental summaries of functional brain networks, yet standard analyses often treat entries independently, ignoring the curved geometry of correlation sp…