Charlotte Martial

This study uses computational models to simulate psychedelic treatments for disorders of consciousness, finding they shift brains closer to criticality, with varying effects based on patient state.

This study uses dynamic causal modelling of EEG to differentiate and predict consciousness states in traumatic disorders of consciousness, showing left frontoparietal connectivity differences between UWS and MCS+ patients.

The paper maps brain states of reduced consciousness into a low-dimensional space using whole-brain modeling and deep learning, revealing an orderly trajectory from wakefulness to brain injury.

This study examines how brain dynamics change during low-level states of consciousness, finding reduced stability in brain hubs and decreased heterogeneity in synchronization patterns.

The paper develops a framework to distinguish brain states by their stability and reversibility, using whole-brain models to analyze consciousness levels and their response to perturbations.

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

The paper investigates how spontaneous hemodynamic response changes with different levels of consciousness using resting state fMRI, finding common dysfunction in precuneus and posterior cingulate across conditions.

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.