Tahereh S. Zarghami

This paper introduces a multiscale parcellation method for dynamic causal models of the brain, showing scale invariance in empirical causal networks.

This paper introduces a causal centrality measure for dynamic causal models and applies it to the extended default mode network, finding subcortical structures more causally central than cortical regions.

This study uses dynamic causal modeling to analyze effective connectivity in schizophrenia patients, finding significant dysconnection in key networks and correlations with cognitive impairments.