1013 Novel Quantitative EEG Exposures and Risk of Incident MCI and Dementia in Older Women. (27th April 2018)

• Record Type: Journal Article
• Authors: Stone, K L; Peters, K E; Redline, S; Yaffe, K; Purcell, S M; Mariani, S; Djonlagic, I; Younes, M
• Is Part Of: Sleep. Volume 41(2018)Supplement 1
• Page Start: A376
• Page End: A376
• Publication Date: 2018-04-27
• Subjects: Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsy061.1012
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Introduction: We and others have reported that quantitative EEG indices may serve as biomarkers for predicting onset of dementia or cognitive decline. We tested whether newly derived EEG indices predict onset of mild cognitive impairment (MCI), dementia, or clinically significant cognitive decline in older women. Methods: 294 older women (82.3 ± 3.2 years) without cognitive impairment completed overnight polysomnography in 2002–2004, and returned for cognitive testing 5 years later. Women were classified at follow-up as normal, MCI or dementia based on neuropsychological evaluation. Baseline EEG was analyzed for alpha-intrusion (%NREM sleep with alpha power>30μV 2 ), normalized overall power (average of ratios [patient/group average] of power in different frequency bands) and Odds-Ratio-Product (ORP; an index of sleep depth) in different stages. Logistic regression was used to determine the association of EEG exposures and risk of incident MCI or dementia, and clinically significant cognitive decline based on 3MS scores (>= 5 points decline), adjusting for race, age, and education levels. Results: At follow-up, 188 women were classified as cognitively normal, 60 as MCI, and 46 as dementia. 78 of 284 women experienced cognitive decline based on the 3MS. Older women with higher alpha intrusion were more likely to experience cognitive decline (OR=1.37; 95% CI 1.07–1.75 per 1 standard deviation increase), or develop MCI or dementia (OR=1.29; 1.01 - 1.64) during follow-up. Those with higher normalized overall power experienced increased risk of both cognitive decline (OR=1.34; 1.02 - 1.75) and MCI/dementia (OR=1.45; 1.11 - 1.88). Higher average ORP, both overall and during REM sleep, suggested a protective effect for development of dementia (p < .10 for both). Conclusion: Quantitative EEG parameters may help identify older adults at risk of future development of MCI/dementia and significant cognitive decline. Further studies are needed to confirm these findings. Support (If Any): The Study of Osteoporotic Fractures (SOF) is supported by National Institutes of Health funding. The National Institute on Aging (NIA) provides support under the following grant numbers: R01 AG005407, R01 AR35582, R01 AR35583, R01 AR35584, R01 AG005394, R01 AG027574, R01 AG027576, and R01 AG026720.