Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/121017
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Type: Journal article
Title: Quantitative electroencephalography measures in rapid eye movement and nonrapid eye movement sleep are associated with apnea-hypopnea index and nocturnal hypoxemia in men
Author: Appleton, S.
Vakulin, A.
D'Rozario, A.
Vincent, A.
Teare, A.
Martin, S.
Wittert, G.
McEvoy, R.
Catcheside, P.
Adams, R.
Citation: Sleep, 2019; 42(7):zsz092-1-zsz092-9
Publisher: Oxford University Press
Issue Date: 2019
ISSN: 0161-8105
1550-9109
Statement of
Responsibility: 
Sarah L. Appleton, Andrew Vakulin, Angela D’Rozario, Andrew D. Vincent, Alison Teare, Sean A. Martin, Gary A. Wittert, R. Doug McEvoy, Peter G. Catcheside, and Robert J. Adams
Abstract: Study Objectives: Quantitative electroencephalography (EEG) measures of sleep may identify vulnerability to obstructive sleep apnea (OSA) sequelae, however, small clinical studies of sleep microarchitecture in OSA show inconsistent alterations. We examined relationships between quantitative EEG measures during rapid eye movement (REM) and non-REM (NREM) sleep and OSA severity among a large population-based sample of men while accounting for insomnia. Methods: All-night EEG (F4-M1) recordings from full in-home polysomnography (Embletta X100) in 664 men with no prior OSA diagnosis (age ≥ 40) were processed following exclusion of artifacts. Power spectral analysis included non-REM and REM sleep computed absolute EEG power for delta, theta, alpha, sigma, and beta frequency ranges, total power (0.5-32 Hz) and EEG slowing ratio. Results: Apnea-hypopnea index (AHI) ≥10/h was present in 51.2% (severe OSA [AHI ≥ 30/h] 11.6%). In mixed effects regressions, AHI was positively associated with EEG slowing ratio and EEG power across all frequency bands in REM sleep (all p < 0.05); and with beta power during NREM sleep (p = 0.06). Similar associations were observed with oxygen desaturation index (3%). Percentage total sleep time with oxygen saturation <90% was only significantly associated with increased delta, theta, and alpha EEG power in REM sleep. No associations with subjective sleepiness were observed. Conclusions: In a large sample of community-dwelling men, OSA was significantly associated with increased EEG power and EEG slowing predominantly in REM sleep, independent of insomnia. Further study is required to assess if REM EEG slowing related to nocturnal hypoxemia is more sensitive than standard PSG indices or sleepiness in predicting cognitive decline.
Keywords: Quantitative EEG analysis; power spectral analysis; sleep disordered breathing; obstructive sleep apnea; insomnia
Rights: © Sleep Research Society 2019. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.
RMID: 0030113304
DOI: 10.1093/sleep/zsz092
Grant ID: http://purl.org/au-research/grants/nhmrc/627227
Appears in Collections:Medicine publications

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