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Sleep homeostasis impairment across obstructive sleep apnea severity: findings from a population-based cohort study.

Overview

Authors: Rama Maganti1, Jun Wang1, Scott Hetzel2
ORCID iDs: Rama Maganti
  1. Department of Neurology, University of Wisconsin School of Medicine and Public Health, 1685 Highland Ave, Madison, WI 53706 USA
  2. Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, WARF Office Building, Room 207G, 610 Walnut Street, Madison, WI 53726 USA
Institutions: University of Wisconsin–Madison (United States)
Dates: received 31 March 2026; accepted 8 June 2026; published online 4 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1007/s44470-026-00131-6 · PMID 42552458 · PMCID PMC13438536 · OpenAlex W7172436549
Open access: hybrid, a free copy (OpenAlex)
Status: code on request
Categories: EEG (modality), human (organism), sleep disorders (population), clinical / translational (subfield)
Methods: Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions, Machine learning
Keywords: Obstructive sleep apnea, Slow wave activity, Slope of slow wave, Sleep homeostasis
MeSH: Homeostasis*, Sleep Apnea, Obstructive*, Adult, Cohort Studies, Electroencephalography, Female, Humans, Male, Middle Aged, Polysomnography, Severity of Illness Index, Sleep, Slow-Wave (* major topic)
Topic: Obstructive Sleep Apnea Research (Physiology, Medicine), according to OpenAlex
Citations: not cited yet (Europe PMC); 45 references in the paper

Abstract

Purpose: Obstructive sleep apnea (OSA) is a sleep disorder that causes recurrent airway obstruction and sleep fragmentation and increases cardiometabolic, cognitive, and mortality risk. Although slow-wave activity (SWA) and sleep homeostasis (SH) are central to restorative sleep and synaptic regulation, the extent to which SH is disrupted across OSA severity remains unclear.

Methods: In this population-based cohort study, we analyzed 945 polysomnography (PSG) studies from adults with mild, moderate, severe OSA, or no OSA. Sleep parameters including apnea–hypopnea index (AHI) and slow wave activity (SWA 0.5–4 Hz) from electroencephalography (EEG) in non-rapid eye movement (NREM) sleep were extracted. SH was assessed with overnight decay of SWA, slopes of slow waves, and change in SWA with wake after sleep onset (WASO). Liner regression models were used to identify independent predictors of SH measures.

Results: SWA decay across successive NREM episodes was attenuated in severe OSA group. Higher AHI (p < 0·001) and greater WASO (p < 0·001) were associated with a flatter decay of SWA. For a given level of SWA decay, males exhibited higher AHI than females (p < 0·0001). Slope of slow waves decreased from the first to last hour of NREM sleep in all groups (p < 0.01) except severe OSA. Multivariable models revealed that diabetes, use of antidepressant, anti-anxiety, antihypertensive, and sedative medications and high caffeine intake independently predicted impaired SH, whereas greater N3 sleep percentage was associated with preserved SWA decline.

Conclusion: These data demonstrate SH is disrupted in OSA but additionally modulated by metabolic and pharmacologic factors. Targeting SH may represent a strategy to mitigate neurocognitive and physiological consequences of OSA.

Brief Summary: Obstructive sleep apnea (OSA) is associated with adverse health outcomes including hypertension, cardiovascular complications, cognitive decline as well as mortality.

Impaired sleep homeostasis in OSA may represent a mechanistic link between sleep-disordered breathing and adverse health outcomes as slow wave activity is critical for synaptic downscaling, memory consolidation, and metabolic regulation.

OSA is known to impair sleep homeostasis though it is unknown if OSA severity matters. Our data suggested that severe OSA impaired sleep homeostasis but clinical factors should be considered as they can impact sleep homeostasis as well.

Future research should evaluate whether therapeutic interventions for OSA can reverse all these impairments and whether treatments should also be directed towards correcting sleep homeostasis impairment as well.

Supplementary Information: The online version contains supplementary material available at 10.1007/s44470-026-00131-6.

Reproduced under the paper's license (CC BY), 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

All polysomnography data from Wisconsin Sleep Cohort are available as part of the National Sleep Research Resource and can be directly obtained by communicating. The Python and MATLAB scripts used for analysis will be made available upon reasonable request to the corresponding author.

Reproduced under the paper's license (CC BY), 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, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 4 keywords, 12 MeSH terms, 45 references.

Cite

This paper

Maganti, R., Wang, J., & Hetzel, S. (2026). Sleep homeostasis impairment across obstructive sleep apnea severity: findings from a population-based cohort study. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 22(1), 134. https://doi.org/10.1007/s44470-026-00131-6

BibTeX

@article{maganti2026sleep,
author = {Maganti, Rama and Wang, Jun and Hetzel, Scott},
title = {{Sleep homeostasis impairment across obstructive sleep apnea severity: findings from a population-based cohort study}},
journal = {Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine},
year = {2026},
month = aug,
volume = {22},
number = {1},
pages = {134},
publisher = {Springer},
issn = {1550-9389},
doi = {10.1007/s44470-026-00131-6},
url = {https://doi.org/10.1007/s44470-026-00131-6},
pmid = {42552458},
pmcid = {PMC13438536}
}

RIS

TY - JOUR
AU - Maganti, Rama
AU - Wang, Jun
AU - Hetzel, Scott
TI - Sleep homeostasis impairment across obstructive sleep apnea severity: findings from a population-based cohort study
T2 - Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
J2 - J Clin Sleep Med
PY - 2026
DA - 2026/08/04
VL - 22
IS - 1
SP - 134
SN - 1550-9389
PB - Springer
DO - 10.1007/s44470-026-00131-6
UR - https://doi.org/10.1007/s44470-026-00131-6
LA - en
ER -

CSL-JSON

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