Véronique Paban

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 examines how methodological choices in EEG source connectivity analysis affect results consistency and similarity across subjects.

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 examines dynamic brain modularity at rest using EEG/MEG, revealing spatiotemporal patterns and sub-networks within RSNs, and links dynamics to mental imagery.

This study uses dynamic functional connectivity measures from EEG and MEG data to show that personality traits like neuroticism, extraversion, and openness correlate with brain network dynamics.

The paper examines the relationship between psychological resilience and brain network flexibility using resting-state EEG data from healthy subjects.