Joseph Paillard

This study shows that brain-age gaps from EEG spectral power in neurological populations do not reflect accelerated aging, challenging the use of EEG as a biomarker for neurodegeneration.

GREEN is a lightweight neural network that combines wavelet transforms and Riemannian geometry for EEG biomarker analysis, outperforming non-deep models and large DL models with fewer parameters.

This study uses machine learning to analyze EEG data and shows that both brain and peripheral signals contribute to predicting age and sex, but brain signals are more effective for CNS-specific biomarkers.