Variability of longitudinal sleep monitoring in amyloid‐negative and amyloid‐positive cognitively unimpaired and mildly impaired older adults
Low variability in electroencephalography (EEG) spectral power metrics, including delta, theta, and alpha power. Greater variability in self-report sleep metrics, including self-reported time to fall asleep and EEG-derived metrics such as sleep duration and N2 sleep. Understanding the variability in sleep measures over time will offer important guidance for designing future longitudinal studies targeting sleep and neurodegeneration.
Authors
- Rachael T. Richardson (ORCID: https://orcid.org/0000-0002-2412-8354)
- Brendan P. Lucey (ORCID: https://orcid.org/0000-0001-5400-825X)
- Carling G. Robinson (ORCID: https://orcid.org/0000-0002-6398-0726)
- Arthur Hess
- Cristina D. Toedebusch
- Christopher M. Morris (ORCID: https://orcid.org/0000-0002-3749-0993)
- Ruijin Lu (ORCID: https://orcid.org/0000-0001-9356-6545)
- Taylor Pedersen
- Anita Quigley (ORCID: https://orcid.org/0000-0002-4060-2079)
- Brian A. Gordon (ORCID: https://orcid.org/0000-0003-2109-2955)
- Chengjie Xiong
- David M. Holtzman
Institutions
- Washington University in St. Louis (US)
- University of Missouri–St. Louis (US)
- St. Louis University High School (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1002/alz.70761
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute on Aging