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Sleep EEG ‘Brain Age’ Tied to Higher Dementia Risk, UCSF-Led Study Finds

Researchers report that fine-scale sleep brain-wave patterns offer an early-detection window beyond traditional sleep metrics.

Overview

  • Published in JAMA Network Open, the pooled analysis examined 7,105 U.S. adults who were dementia-free at baseline and followed for 3.5 to 17 years, during which about 1,000 developed dementia.
  • For each 10-year increase in the sleep-derived brain age index over chronological age, future dementia risk rose by roughly 39%, even after adjusting for demographics, health factors, and APOE genetic risk.
  • The machine-learning model integrated 13 microstructural EEG features, such as delta activity reflecting sleep depth and memory-linked sleep spindles, to estimate brain age.
  • Because overnight EEG can be collected noninvasively at home, the authors highlight potential for risk screening with wearables, while cautioning that replication and causal studies are needed before clinical use.
  • One EEG characteristic—higher kurtosis, reflecting occasional large signal spikes—was linked to lower dementia risk, and researchers note that treating sleep disorders may modify brain-wave patterns without proving causality.