Marcello Massimini

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 study links scalp EEG N140/SAN to intracranial insulo-opercular activity, showing they are manifestations of the same neural response to somatosensory stimuli.

This study shows that blindness changes occipital cortex dynamics to resemble frontal cortex, enhancing top-down connectivity and linking faster dynamics to stronger frontal influence.

This study shows that structural disconnection after stroke leads to electrophysiological changes in both perilesional and structurally disconnected cortical regions, correlating with neurological severity.

This paper introduces a non-invasive framework linking consciousness measures to non-equilibrium thermodynamics by analyzing FDT violations in humans and rodents across different states of consciousness.

The paper analyzes TMS-evoked potentials (TEPs) from different cortical regions to characterize their temporal features and relates them to network properties.

The paper shows that resting-state EEG criticality features predict perturbational complexity index (PCI) in disorders of consciousness, but only in specific patient subgroups.

This paper models post-lesional slow waves in brain networks, identifying mechanisms for their generation and propagation.

This study uses a BiLSTM machine learning model to distinguish TMS-evoked EEG responses from sham stimulations across multiple datasets, achieving high accuracy with few trials.

This paper introduces gTRCA, a method to extract reproducible TEP components across trials and subjects, showing it reliably identifies key features of motor TEPs in TMS-EEG data.

The paper quantifies consciousness using spatiotemporal brain complexity metrics from resting-state and stimulation data, showing agreement with perturbational complexity in a more accessible paradigm.

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 shows that TMS-evoked potentials (TEPs) can have distinct spatiotemporal patterns lasting up to 300 ms when targeting specific cortical areas, challenging the view that later components are due to sensory inputs.

The paper investigates how cortical stimulation engages subcortical circuits in mice and humans, showing similar evoked potentials and thalamic contributions across species.

This study examines the electrophysiological state of the isolated cortex after hemispherotomy in awake humans, finding sleep-like activity without spindles.

The paper uses computational models to explain how cortical reactivity changes with adaptation, linking findings from human studies to theoretical frameworks.

This paper compares cortico-cortical evoked potentials (CCEPs) recorded via invasive SEEG and non-invasive hd-EEG during SPES, showing hd-EEG's sensitivity to stimulation parameters and its ability to capture whole-brain dynamics.

This study uses the Spectral Exponent (SE) to assess stroke recovery by comparing EEG metrics in patients and healthy controls over time.

TAAC generates customized masking noises to reduce auditory confounds in TMS-EEG studies, achieving effective masking at lower sound pressure levels than standard methods.

The paper introduces rt-TEP, a real-time visualization tool for TMS-evoked potentials that improves signal quality and parameter optimization.

This study examines how dexmedetomidine sedation depth affects cortical excitability, finding non-linear changes and region-specific effects.

This study shows that focal brain injuries lead to local sleep-like dynamics in the surrounding cortex, disrupting signal complexity while coexisting with wakefulness patterns.

This paper provides an open dataset of EEG recordings from precisely known brain locations to evaluate source localization methods.

The paper assesses the reliability of the Perturbational Complexity Index (PCI) across three brain regions using TMS-EEG in healthy adults, finding high reliability for parietal and motor sites.

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.

This study links pathological bistability in UWS patients to reduced brain complexity using TMS/EEG and PCI measurements.

This study shows propofol reduces evoked power and impairs feedforward connectivity in the cortical hierarchy during TMS.

This paper reviews clinical and neuroimaging evidence to debate whether consciousness is linked to the frontal or posterior cortex.

This study investigates how the spectral features of TEPs from M1 TMS depend on MEP amplitude, finding a late ERD linked to MEP strength.

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.