Dissecting Spectral Granger Causality through Partial Information Decomposition
This paper introduces Partial Decomposition of Granger Causality (PDGC), a novel framework leveraging Partial Information Decomposition to dissect multivariate spectral Granger causality into unique, redundant, and synergistic components, which was successfully applied to physiological networks to reveal distinct patterns of autonomic dysfunction in patients prone to neurally-mediated syncope.
Luca Faes, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Yuri AntonacciTue, 10 Ma🔬 physics