非快速眼动睡眠
脑电图
多导睡眠图
快速眼动睡眠
K-络合物
睡眠阶段
定量脑电图
眼球运动
听力学
心理学
麻醉
三角洲节奏
慢波睡眠
阻塞性睡眠呼吸暂停
医学
精神科
神经科学
阿尔法节律
作者
Sarah Appleton,Andrew Vakulin,A D’Rozario,Andrew Vincent,A Teare,Sean Martin,Gary Wittert,R. Doug McEvoy,Peter Catcheside,Robert Adams
出处
期刊:Sleep
[Oxford University Press]
日期:2019-04-20
卷期号:42 (7)
被引量:45
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI