Marc Vérin

This study evaluates how electrode density impacts EEG analysis across multiple levels, finding that lower densities affect regional and source-level analyses more than global measures.

The paper maps lifespan EEG trajectories across age groups, revealing nonlinear patterns and spatial variations in brain activity.

This study uses EEG and normative modeling to identify deviations in neurophysiological features in Parkinson's and Alzheimer's patients, showing significant heterogeneity and correlations with clinical scores.

This study identifies electrophysiological signatures of anxiety in Parkinson's disease using resting-state EEG, showing altered power and connectivity patterns associated with clinical anxiety scores.

This study uses HD-EEG and machine learning to identify resting-state brain networks predictive of real-life creativity, finding significant correlations in both internal and external validation.

This study investigates dynamic functional brain networks during cognitive action control in Parkinson's disease patients and healthy controls using HD-EEG, finding differences in network composition and temporal organization.

The paper examines STN neural oscillations during explicit and implicit emotional processing tasks in PD patients, finding no effect of emotional valence or task demands on oscillatory power or phase consistency.

This study compares the effects of unilateral and bilateral subthalamic nucleus deep brain stimulation on apathy, depression, and anxiety in Parkinson's disease using pre-clinical and clinical approaches.

This study examines how promised reward affects subthalamic nucleus activity during conflict resolution in Parkinson’s disease patients using local field potential recordings.