Renzo Comolatti

This study evaluates how neural complexity metrics relate to network architecture by simulating neural dynamics across diverse network structures and analyzing both observational and perturbational measures.

This paper compares the electrophysiological effects of transcranial magnetic stimulation (TMS) and intracranial electrical stimulation (IES) using scalp EEG recordings in different brain states.

This study measures cortical response complexity to electrical stimulation in rats under different anaesthetics, finding reduced complexity and altered connectivity during anaesthesia.

This study investigates the role of the posteromedial cortex in consciousness in rats by measuring EEG responses to stimulation and anaesthesia, finding that high-dose ketamine reduces HF/LF ratio in this region, correlating with reduced consciousness.

The paper introduces PCIST, a fast method to estimate perturbational complexity of brain signals, validated on TMS/hd-EEG and SEEG data, showing comparable accuracy to the original PCI with improved speed and applicability.