K. R. Radhika

A Riemannian Hypergraph Spectral-Temporal Network with Directed Effective Connectivity for Parkinson’s Disease Recognition from Resting-State EEG

The electrophysiological changes that accompany Parkinson’s disease are expressed not only in the power of individual rhythms but also in the direction and geometry of the coupling between cortical regions, information that undirected and Euclidean descriptors only partially retain. This work introduces a Riemannian Hy...