Lukas A. W. Gemein

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.

This paper benchmarks machine learning approaches for brain age prediction using M/EEG signals across four international cohorts, finding that spatially aware models achieve the highest performance.