Sleep EEG-Derived Brain Health and Long-Term Cognitive Decline in Community-Dwelling Adults

Clicks: 1
ID: 324256
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #35 of 39 articles by views in SLEEP Advances

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Study Objectives Sleep electroencephalography (EEG) is linked with cognitive function and dementia risk. Integrated EEG-derived scores, such as the Brain Health Score (BHS), trained to jointly reflect cognitive function and disease risk, and the Brain Age Index (BAI), which estimates brain aging, also correlate with neuropsychological (NP) performance. Yet, it remains unclear whether these sleep scores are associated with the rate of future cognitive decline. Methods This study included 639 Framingham Heart Study Generation 2 and Omni 1 participants with sleep EEG in mid-to-late life and ≥2 NP tests over an average of 14.3 years. Linear mixed effects models estimated associations between BHS and annual changes in memory, executive function, or language. We also evaluated associations between BAI and cognitive decline among 509 Generation 2 participants with BAI values. Results Participants were on average 58.4 years at sleep assessment, 54% female, and 86% non-Hispanic White. Each 1-SD higher BHS was associated with 0.015 SD/year slower memory decline (95% CI: 0.009-0.021), 0.009 SD/year slower executive function decline (95% CI: 0.005-0.014), and 0.011 SD/year slower language decline (95% CI: 0.005-0.017). In contrast, BAI was not associated with changes in any cognitive domain. Conclusions Higher sleep EEG–derived brain health in mid-to-late life was associated with slower decline in multiple cognitive domains over more than a decade of follow-up, whereas an EEG-based measure of brain aging was not. These findings suggest that sleep EEG-derived, data-driven brain health metrics may have value as novel biomarkers for risk of cognitive decline.
Reference Key
openalex_W7196962467 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Francesca Marino, Wolfgang Ganglberger, Haoqi Sun, Yulin Liu, Huitong Ding, Robert J. Thomas, Rhoda Au, M. Brandon Westover
Journal SLEEP Advances
Year 2026
DOI
10.1093/sleepadvances/zpag089
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.