Large‑scale Granger causality analysis of cannabis‑related network changes in the resting state with informed priors
Medical Imaging April 1, 2026 A. Wismüller, A. Vosoughi, Akhil Kasturi
Functional magnetic resonance imaging (fMRI) in the resting state often involves analyzing thousands of potential connections with only a few hundred time points, presenting a significant challenge in causal modeling and topology inference of brain networks. This study evaluates whether large-scale Granger Causality (lsGC)—which uses principal component analysis and autoregressive modeling—can...