Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing, 400715, China.
Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience Research Institute, Amsterdam UMC, Vrije Universiteit, the Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, the Netherlands.
Sleep Med Rev. 2021 Oct;59:101457. doi: 10.1016/j.smrv.2021.101457. Epub 2021 Jan 22.
Insomnia disorder (ID) has become the second-most common mental disorder. Despite burgeoning evidence for increased high-frequency electroencephalography (EEG) activity and cortical hyperarousal in ID, the detailed spectral features of this disorder during wakefulness and different sleep stages remain unclear. Therefore, we adopted a meta-analytic approach to systematically assess existing evidence on EEG spectral features in ID. Hedges's g was calculated by 148 effect sizes from 24 studies involving 977 participants. Our results demonstrate that, throughout wakefulness and sleep, patients with ID exhibited increased beta band power, although such increases sometimes extended into neighboring frequency bands. Patients with ID also exhibited increased theta and gamma power during wakefulness, as well as increased alpha and sigma power during rapid eye movement (REM) sleep. In addition, ID was associated with decreased delta power and increased theta, alpha, and sigma power during NREM sleep. The EEG measures of absolute and relative power have similar sensitivity in detecting spectral features of ID during wakefulness and REM sleep; however, relative power appeared to be a more sensitive biomarker during NREM sleep. Our study is the first statistics-based review to quantify EEG power spectra across stages of sleep and wakefulness in patients with ID.
失眠障碍（ID）已成为第二大常见的精神障碍。尽管越来越多的证据表明 ID 患者的高频脑电图（EEG）活动和皮质过度兴奋增加，但在清醒和不同睡眠阶段这种障碍的详细频谱特征仍不清楚。因此，我们采用荟萃分析的方法系统评估了 ID 患者 EEG 频谱特征的现有证据。24 项研究的 148 个效应量计算得出 Hedges's g，涉及 977 名参与者。我们的结果表明，在清醒和睡眠期间，ID 患者的β波段功率增加，尽管这种增加有时会扩展到相邻的频带。ID 患者在清醒时也表现出θ和γ波段功率增加，以及 REM 睡眠时的α和σ波段功率增加。此外，ID 与 NREM 睡眠期间的δ波段功率降低以及θ、α和σ波段功率增加有关。绝对和相对功率的 EEG 测量在检测 ID 患者清醒和 REM 睡眠期间的频谱特征方面具有相似的敏感性；然而，在 NREM 睡眠期间，相对功率似乎是一种更敏感的生物标志物。我们的研究是第一个基于统计学的综述，对 ID 患者睡眠和觉醒各阶段的 EEG 功率谱进行了量化。
