Daniele Marinazzo

This study evaluates the reliability of effective connectivity in the default mode network using longitudinal fMRI data and finds that hemispheric asymmetry and Bayesian model reduction improve consistency.

The paper uses The Virtual Brain to model brain dynamics in brain tumor patients and controls, finding that individualized model parameters improve functional connectivity prediction and correlate with structural network topology and cognitive performance.

This study investigates how traumatic brain injury (TBI) reorganizes brain networks, finding increased functional and structural connectivity in prefrontal regions linked to behavioral deficits.

This paper applies visibility graphs to fMRI data to analyze collective dynamics across resting state networks.

This study maps TMS-induced EEG changes onto information flow and structural connectivity using multimodal data to show how stimulation site and brain rhythms influence functional-structural relationships.