Benoît M. Dawant

This paper analyzes peri-ictal network dynamics in drug-resistant epilepsy patients to show that NIZs increase inhibitory signaling to SOZs during seizures, but this suppression is insufficient to prevent seizure onset.

This study identifies reward circuitry activity predictive of risk-taking in humans using local field potential recordings during a gambling task.

The paper examines how motor control affects mesolimbic local field potentials using electrophysiological recordings during a stop-signal task.

This paper introduces BrainState, a self-supervised method to model complex brain states from EEG data, applied to epilepsy patients to capture pre-seizure states and neuromodulation effects.

The paper analyzes LFP activity in the human brain during visual working memory tasks to identify task-related oscillatory patterns across different brain regions.

This paper develops a deep learning model to accurately segment the nucleus basalis of Meynert on 3T MRI, showing improved performance over standard atlases in both healthy subjects and TLE patients.