Association between slow-wave activity from multi-night at-home wireless EEG records and cognitive performance in older adults.
Overview
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Institute for Human Development and Potential (IHDP), Agency for Science Technology and Research (A*STAR), Singapore
Abstract
Study Objectives: Evidence for the association between slow-wave sleep and cognitive function in older adults has been inconsistent. We measured the variability in-home electroencephalography (EEG) recordings over multiple nights to determine its impact on the association between sleep slow wave measures and cognition.
Methods: Participants were 49 (26 females) community-dwelling older adults (median age 75.3 years) who were functionally independent and without cognitive impairment or self-reported sleep disorders. Each contributed eight nights of at-home EEG headband sleep recordings (Dreem Headband, Beacon Biosignals, Boston, USA). Night-to-night variability in sleep stage percentage and spectral power in SWA (0.8–4.5 Hz), Theta (4.5–7.5 Hz), Alpha (8–12 Hz), and Sigma (11–15 Hz) was determined using the coefficient of variation (CV). CV of <20% was considered stable. Correlation between stable sleep metrics and multi-domain cognitive performance was assessed.
Results: Most older adults independently operated the Dreem band with good acceptability. Night-to-night variability in the current sample (n = 49; 302 nights) was high for N3% (CV = 47%), moderate for rapid eye movement (REM)% (CV = 22%), and low for N2% and relative power from all frequency bands (CV = 3%–17%). Only relative slow-wave activity (SWA) (0.8–4.5 Hz) was significantly associated with global cognition, when considering both averaged (r = 0.55, p < .001) and single-night (r = 0.2–0.5) assessments.
Conclusions: 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.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Code
The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.
The paper's code and data availability statement is in the Data section.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.
Data
No dataset and no data link were found in the paper.
Data availability
The analytic methods and codes for analyses are available upon request. Data collected for the current study can be made available upon request.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 7 keywords, 10 MeSH terms, 5 funders, 47 references.
Cite
This paper
Qin, S., Ong, J. L., Wong, K. F., Liang, T., Ng, E. K. K., Koh, W.-P., Zhou, J. H., & Chee, M. W. L. (2026). Association between slow-wave activity from multi-night at-home wireless EEG records and cognitive performance in older adults. Sleep, 49(3), zsaf329. https://
BibTeX
@article{qin2026associat
author = {Qin, Shuo and Ong, Ju Lynn and Wong, Kian Foong and Liang, Tian and Ng, Eric Kwun Kai and Koh, Woon-Puay and Zhou, Juan Helen and Chee, Michael W L},
title = {{Association between slow-wave activity from multi-night at-home wireless EEG records and cognitive performance in older adults}},
journal = {Sleep},
year = {2026},
month = mar,
volume = {49},
number = {3},
pages = {zsaf329},
publisher = {Oxford University Press},
issn = {0161-8105},
doi = {10.1093/
url = {https://
pmid = {41123541},
pmcid = {PMC13016729}
}
RIS
TY - JOUR
AU - Qin, Shuo
AU - Ong, Ju Lynn
AU - Wong, Kian Foong
AU - Liang, Tian
AU - Ng, Eric Kwun Kai
AU - Koh, Woon-Puay
AU - Zhou, Juan Helen
AU - Chee, Michael W L
TI - Association between slow-wave activity from multi-night at-home wireless EEG records and cognitive performance in older adults
T2 - Sleep
J2 - Sleep
PY - 2026
DA - 2026/
VL - 49
IS - 3
SP - zsaf329
SN - 0161-8105
PB - Oxford University Press
DO - 10.1093/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1093/
"type": "article-journal",
"title": "Association between slow-wave activity from multi-night at-home wireless EEG records and cognitive performance in older adults",
"container-title": "Sleep",
"author": [
{
"family": "Qin",
"given": "Shuo"
},
{
"family": "Ong",
"given": "Ju Lynn"
},
{
"family": "Wong",
"given": "Kian Foong"
},
{
"family": "Liang",
"given": "Tian"
},
{
"family": "Ng",
"given": "Eric Kwun Kai"
},
{
"family": "Koh",
"given": "Woon-Puay"
},
{
"family": "Zhou",
"given": "Juan Helen"
},
{
"family": "Chee",
"given": "Michael W L"
}
],
"container-title-short":
"volume": "49",
"issue": "3",
"page": "zsaf329",
"DOI": "10.1093/
"PMID": "41123541",
"PMCID": "PMC13016729",
"ISSN": "0161-8105",
"publisher": "Oxford University Press",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
3,
1
]
]
}
}
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1093/braincomms/fcag204 [code]
- Altered rhythmic and arrhythmic electroencephalographic activity during non-rapid eye movement sleep in amnestic mild cognitive impairment.Journal: Brain communicationsIn common: EEG, cognitive, 12 references
- [2] doi:10.3389/fnagi.2026.1714063
- Nightly variations in sleep quality and next-day cognitive performance: an in-home study in healthy older adults.Journal: Frontiers in aging neuroscienceIn common: EEG, cognitive, 5 references
- [3] doi:10.2196/80286 [code]
- At-Home Sleep Electroencephalography Assessment in Young and Older Adults Using a Novel Wireless Soft Electronics Sleep Monitoring System: Experimental Study.Journal: JMIR formative researchIn common: EEG, 4 references
- [4] doi:10.1093/braincomms/fcag303 [code]
- Sleep spindles are linked to white matter connectivity differentially in older adults with and without cognitive impairment.Journal: Brain communicationsIn common: EEG, 4 references
- [5] doi:10.1162/imag.a.1308 [code]
- Functional connectome signature of general psychopathology in middle-aged and older adults: Evidence from multi-cohort, multi-ethnic analyses.Journal: Imaging neuroscience (Cambridge, Mass.)In common: 1 reference, author Juan Helen Zhou
- [6] doi:10.1371/journal.pbio.3003738 [code]
- Altered salience network structure-function integration underlies the decline in cognitive flexibility during aging.Journal: PLoS biologyIn common: cognitive, author Juan Helen Zhou
- [7] doi:10.1162/imag.a.1278 [code]
- Young and old adult brains experience opposite effects of acute sleep restriction on the functional connectivity network.Journal: Imaging neuroscience (Cambridge, Mass.)In common: 3 references
- [8] doi:10.1038/s41593-026-02359-0 [code]
- The cross-site reproducibility of MRI morphometric phenotypes in psychiatric disorders.Journal: Nature neuroscienceIn common: author Juan Helen Zhou
- [9] doi:10.1093/pnasnexus/pgag108
- Aging disrupts the temporal organization of slow oscillations beyond density reduction.Journal: PNAS nexusIn common: 3 references
- [10] doi:10.1073/pnas.2528246123
- Protecting episodic memory after sleep loss: Similar benefits of exercise and naps via distinct neural contributions.Journal: Proceedings of the National Academy of Sciences of the United States of AmericaIn common: EEG, cognitive, 2 references
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.