Machine Learning-Based Sleep Electroencephalographic Brain Age Index and Dementia Risk: An Individual Participant Data Meta-Analysis - PubMed
3 hours ago
- #dementia risk
- #sleep EEG
- #machine learning
- Machine learning-based EEG brain age index (BAI) measures deviation between sleep EEG-based brain age and chronological age.
- Study aims to determine the association between sleep BAI and incident dementia in community-dwelling populations.
- Data pooled from 5 community-based longitudinal cohorts: MESA, ARIC, FHS-OS, MrOS, and SOF.
- 7105 participants included, with varying demographics and follow-up times across cohorts.
- Each 10-year increase in BAI associated with a 39% higher risk of incident dementia (HR, 1.39).
- Associations remained significant after adjusting for comorbidities, apnea-hypopnea index, and apolipoprotein E ε4.
- Findings consistent across sex and age groups.
- Highlights potential of BAI as a noninvasive digital marker for early dementia detection.