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K. R. Radhika

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Aug 2026

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

This work introduces a Riemannian Hypergraph Spectral-Temporal Network, termed RHST-Net, that combines three complementary views of resting-state electroencephalography and confirms that directed beta-band coupling over sensorimotor cortex drives the decision.

K. R. Radhika · 0 citations

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