Association between slow-wave activity from multi-night at-home wireless EEG records and cognitive performance in older adults
Wearable EEG can reliably collect at-home, multi-night sleep data in older adults. SWA but not N3 duration showed high night-to-night stability within each participant and was the only measure significantly and robustly associated with cognitive function.
Authors
- Woon‐Puay Koh (ORCID: https://orcid.org/0000-0002-5674-6341)
- Shuo Qin (ORCID: https://orcid.org/0000-0003-0743-9254)
- Tian Liang (ORCID: https://orcid.org/0000-0001-8884-7246)
- Juan Helen Zhou (ORCID: https://orcid.org/0000-0002-0180-8648)
- Kwun Kei Ng (ORCID: https://orcid.org/0000-0002-0584-7679)
- Ju Lynn Ong (ORCID: https://orcid.org/0000-0001-5115-4112)
- Michael W.L. Chee (ORCID: https://orcid.org/0000-0002-6087-0548)
- Kian Foong Wong
Institutions
- Agency for Science, Technology and Research (SG)
- National University of Singapore (SG)
- Institute of Materials Research and Engineering (SG)
- National University Health System (SG)
Publication Details
- Journal
- SLEEP
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1093/sleep/zsaf329
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43