Enriched resting-state EEG prediction of cognitive decline in prodromal Alzheimer’s disease: a machine-learning approach

These findings suggest that rsEEG biomarkers in ADMCI patients may not only reveal underlying pathophysiological mechanisms affecting cortical arousal and vigilance but also hold predictive value for cognitive outcomes.