ArticleNeurobiology of aging2019
Brain age from the electroencephalogram of sleep.
Article in Neurobiology of aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 1 of them a synthesis that pooled it.
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Who cites it
79 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning-Based Sleep Electroencephalographic Brain Age Index and Dementia Risk: An Individual Participant Data Meta-Analysis.JAMA network open · 2026Pooled it
- Augmenting blood oxygen saturation via the sleep environment: a crossover trial of non-invasive indoor oxygen diffusion.Sleep & breathing = Schlaf & Atmung · 2026Trial
- Sleep EEG foundation models reveal within-stage microstructure that improves health screening beyond traditional stages.Research square · 2026Article
- Article
- Brain Health from Sleep EEG: A Multicohort, Deep Learning Biomarker for Cognition, Disease, and Mortality.NEJM AI · 2026Article
- Article
- Sleep electroencephalography-derived brain health and long-term cognitive decline in community-dwelling adults.Sleep advances : a journal of the Sleep Research Society · 2026Article
- High-salt intake alters autonomic maturation trajectories assessed by an HRV-based ANS Age Index in rats.Frontiers in physiology · 2026Article
- Decoding brain age predictions from sleep electroencephalography across infancy to adolescence.Scientific reports · 2025Article
- Phase precession of spindle-slow oscillation coupling across the human brain.bioRxiv : the preprint server for biology · 2025Article
- A wearable-based aging clock associates with disease and behavior.Nature communications · 2025Observational
- Using a wearable EEG device to examine age trends in sleep macro- and micro-architecture across adolescence.bioRxiv : the preprint server for biology · 2025Article
- Dementia Risk and Machine Learning-Derived Brain Age Index from Sleep Electroencephalography: A Pooled Cohort Analysis of Over 7,000 Individuals Across Five Community Cohorts.medRxiv : the preprint server for health sciences · 2025Article
- [Research progress in electroencephalogram-based brain age prediction].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Review
- Article
- Sleep as a window into brain health: clinical implications of sleeping brain wave-structure associations.Sleep · 2025Article
- Toward a Universal Map of EEG: A Semantic, Low-Dimensional Manifold for EEG Classification, Clustering, and Prognostication.Annals of neurology · 2025Article
- EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.Schizophrenia bulletin · 2025Article
- Artificial Intelligence Can Drive Sleep Medicine.Sleep medicine clinics · 2025Review
- Estimating Chronological Age From the Electrical Activity of the Brain: How EEG-Age Can Be Used as a Marker of General Brain Functioning.Psychophysiology · 2025Article
19 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
Funding
Abstract
The human electroencephalogram (EEG) of sleep undergoes profound changes with age. These changes can be conceptualized as "brain age (BA)," which can be compared to chronological age to reflect the degree of deviation from normal aging. Here, we develop an interpretable machine learning model to predict BA based on 2 large sleep EEG data sets: the Massachusetts General Hospital (MGH) sleep lab data set (N = 2532; ages 18-80); and the Sleep Heart Health Study (SHHS, N = 1974; ages 40-80). The model obtains a mean absolute deviation of 7.6 years between BA and chronological age (CA) in healthy participants in the MGH data set. As validation, a subset of SHHS containing longitudinal EEGs 5.2 years apart shows an average of 5.4 years increase in BA. Participants with significant neurological or psychiatric disease exhibit a mean excess BA, or "brain age index" (BAI = BA-CA) of 4 years relative to healthy controls. Participants with hypertension and diabetes have a mean excess BA of 3.5 years. The findings raise the prospect of using the sleep EEG as a potential biomarker for healthy brain aging.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.