Gianluca Susi

This study examines dynamic alpha power fluctuations, their relationship with functional connectivity, and the ability of a neural mass model to replicate these patterns using MRI and MEG data.

This paper introduces MDC3, a novel estimator for coupling in neurophysiological signals, showing it outperforms Pearson correlation in accuracy for both simulated and real data.

This paper develops a multiscale closed-loop model of Alzheimer's disease that links proteinopathy to electrophysiological changes, revealing causal relationships between Aβ and hp-tau depositions and neural activity alterations.

This study investigates the role of the thalamus in resting-state functional connectivity using computational models, finding that its noisy inputs, not structural connectivity, drive cortical activity and enhance synchrony.

This study uses MEG data to show that aberrant brain criticality, measured by long-range temporal correlations, characterizes early stages of Alzheimer's disease and can classify individuals with subjective cognitive decline and mild cognitive impairment.