Quantitative electroencephalography measures in rapid eye movement and nonrapid eye movement sleep are associated with apnea-hypopnea index and nocturnal hypoxemia in men

被引:37
作者
Appleton, Sarah L. [1 ,2 ,3 ,4 ]
Vakulin, Andrew [4 ,5 ,6 ]
D'Rozario, Angela [5 ,6 ,7 ,8 ]
Vincent, Andrew D. [2 ,3 ]
Teare, Alison [4 ]
Martin, Sean A. [1 ,2 ,3 ]
Wittert, Gary A. [1 ,2 ,3 ]
McEvoy, R. Doug [4 ]
Catcheside, Peter G. [4 ]
Adams, Robert J. [1 ,3 ,4 ]
机构
[1] Univ Adelaide, Adelaide Med Sch, Hlth Observ, Queen Elizabeth Hosp Campus, Woodville, SA, Australia
[2] Univ Adelaide, Freemasons Fdn Ctr Mens Hlth, Adelaide Med Sch, Adelaide, SA, Australia
[3] South Australian Hlth & Med Res Inst, Adelaide, SA, Australia
[4] Flinders Univ S Australia, Coll Med & Publ Hlth, Flinders Ctr Res Excellence, Adelaide Inst Sleep Hlth, Bedford Pk, SA, Australia
[5] Univ Sydney, NeuroSleep NHMRC Ctr Res Excellence, Sydney, NSW, Australia
[6] Univ Sydney, Ctr Sleep & Chronobiol CIRUS, Woolcock Inst Med Res, Sydney, NSW, Australia
[7] Univ Sydney, Sch Psychol, Fac Sci, Brain & Mind Ctr, Sydney, NSW, Australia
[8] Univ Sydney, Charles Perkins Ctr, Sydney, NSW, Australia
基金
英国医学研究理事会;
关键词
quantitative EEG analysis; power spectral analysis; sleep disordered breathing; obstructive sleep apnea; insomnia; DRIVING SIMULATOR PERFORMANCE; EEG SPECTRAL-ANALYSIS; SLOW-WAVE ACTIVITY; DAYTIME SLEEPINESS; REM-SLEEP; INSOMNIA; OSA; WAKEFULNESS; HYPERCAPNIA; PREVALENCE;
D O I
10.1093/sleep/zsz092
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
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