Sleep EEG Signal Criticality as a Non-Invasive Predictor of Cognitive Decline in Dementia
Researchers have found that sleep EEG signal criticality, measured using Multifractal Detrended Fluctuation Analysis (MFDFA), can predict future cognitive decline in dementia. Analysis of longitudinal data showed that cognitively healthy individuals exhibited sleep dynamics closer to an optimally critical state compared to those who later developed dementia. These findings suggest that MFDFA measures could be integrated into automated sleep-based screening tools for earlier intervention. AI
IMPACT Highlights potential for AI-driven tools to enable earlier diagnosis and intervention for neurodegenerative diseases.