Department of Psychiatry and Sleep Medicine Center, Gil Medical Center, Gachon University College of Medicine, 21, Namdong-daero 774 beon-gil, Namdong-gu, Incheon, 21565, Republic of Korea.
Department of Psychiatry, Gil Medical Center, Incheon, Republic of Korea.
Sci Rep. 2022 Feb 8;12(1):2117. doi: 10.1038/s41598-022-05378-6.
Previous spectral analysis studies on insomnia have shown inconsistent results due to their heterogeneity and small sample sizes. We compared the difference of electroencephalogram (EEG) spectral power during sleep among participants without insomnia, insomniacs with no hypnotic use, hypnotic users with no insomnia complaints, and hypnotic users with insomnia complaints using the Sleep Heart Health Study data, which is large sample size and has good quality control. The fast Fourier transformation was used to calculate the EEG power spectrum for total sleep duration within contiguous 30-s epochs of sleep. For 1985 participants, EEG spectral power was compared among the groups while adjusting for potential confounding factors that could affect sleep EEG. The power spectra during total sleep differed significantly among the groups in all frequency bands (p < 0.001). We found that quantitative EEG spectral power in the beta and sigma bands of total sleep differed (p < 0.001) between participants without insomnia and hypnotic users with insomnia complaints after controlling for potential confounders. The higher beta and sigma power were found in the hypnotic users with insomnia complaints than in the non-insomnia participants. This study suggests differences in the microstructures of polysomnography-derived sleep EEG between the two groups.
先前关于失眠的光谱分析研究由于其异质性和样本量小,结果不一致。我们使用睡眠心脏健康研究的数据比较了无失眠、无催眠药物使用的失眠症患者、无失眠抱怨的催眠药物使用者和有失眠抱怨的催眠药物使用者在睡眠期间脑电图(EEG)频谱功率的差异,该研究数据样本量大且质量控制良好。快速傅里叶变换用于计算睡眠期间连续 30 秒睡眠时段的 EEG 功率谱。对于 1985 名参与者,在调整可能影响睡眠 EEG 的潜在混杂因素后,比较了各组之间的 EEG 光谱功率。在所有频段(p < 0.001),各组之间的总睡眠时间 EEG 功率谱差异均有统计学意义。我们发现,在控制潜在混杂因素后,无失眠症的参与者和有失眠抱怨的催眠药物使用者之间的总睡眠时间的定量 EEG 频谱功率在β和σ频段存在差异(p < 0.001)。有失眠抱怨的催眠药物使用者的β和σ功率高于无失眠症的参与者。这项研究表明,两组之间多导睡眠图衍生睡眠 EEG 的微观结构存在差异。