Cyclic alternating pattern in sleep electroencephalography as a novel predictor of dementia: A prospective study
INTRODUCTION: Cyclic alternating pattern (CAP) is a sleep physiological rhythm observed during non-rapid eye movement (NREM) stage. However, the potential role of CAP for risk of dementia remains unknown. METHODS: We studied 2,557 participants enrolled in the prospective Osteoporotic Fractures in Men (MrOS) Sleep Study. CAP features were calculated from electroencephalogram (EEG). The primary outcomes are probable dementia determined by physician diagnosis, Alzheimer's medication use, or a significant cognitive decline. RESULTS: Participants in the lowest tertile of A2 index exhibited an increased risk of dementia compared to those in the highest tertile (hazard ratio [HR] = 2.00, 95% confidence interval [CI]: 1.38-2.90). Further, a lower combined A2+A3 index and shorter CAP sequence duration were associated with a higher risk of dementia. The Shapley Additive Explanations method indicates that CAP features were more predictive of dementia risk than conventional sleep parameters. DISCUSSION: These findings suggest that specific CAP features may serve as useful predictors to identify those older men at risk of dementia.
Authors
- Haizhen Chen
- Xiao Tan
- Ying Zheng
- Katie Stone
- Kristine Yaffe
- Fan Li
- Xinyue Wu
- Yue Leng
Institutions
- University of California, San Francisco (US)
- Dalian University of Technology (CN)
- California Pacific Medical Center (US)
- Sir Run Run Shaw Hospital (CN)
- Karolinska Institutet (SE)
- Dalian University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1002/alz.71331
- Primary Topic
- Sleep and Wakefulness Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Institutes of Health
- National Institute on Aging
- National Heart, Lung, and Blood Institute
- National Institute of Arthritis and Musculoskeletal and Skin Diseases
- National Center for Advancing Translational Sciences