Researchsleep eegbrain agedementiainterpretable ml
Sleep EEG Predicts Brain Aging And Dementia Risk
9.3
Relevance Score
Researchers report an interpretable machine-learning brain age derived from sleep EEG in an individual participant data meta-analysis pooling five community cohorts (n=7,105). Across cohorts, each 10-year increase in the brain age index (BAI) associated with 39% higher incident dementia risk (HR 1.39) after multivariable adjustment, remaining significant after accounting for comorbidities, apnea-hypopnea index, and APOE ε4. The biomarker could aid prognostication and risk stratification.
Scoring Rationale
High multi-cohort evidence and interpretable ML drives score, limited by observational design and need for clinical validation.
Sources
- Read OriginalAn Aging Clock Built from Sleep Electroencephalography Datafightaging.org
