Difference in spectral power density of sleep electroencephalography between individuals without insomnia and frequent hypnotic users with insomnia complaints.
Difference in spectral power density of sleep electroencephalography between individuals without insomnia and frequent hypnotic users with insomnia complaints.
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DOI：
10.1038/s41598-022-05378-6
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发表时间：
2022-02-08
影响因子：
4.6
通讯作者：
Kang SG
中科院分区：
文献类型：
--
作者：
Kang JM;Cho SE;Moon JY;Kim SI;Kim JW;Kang SG
以往的失眠症的光谱分析研究显示，由于其异质性和小样本量的不一致的结果。我们使用大样本量且具有良好质量控制的睡眠心脏健康研究数据，比较了无失眠参与者、无催眠药物使用的失眠患者、无失眠投诉的催眠药物使用者和有失眠投诉的催眠药物使用者在睡眠期间的脑电图（EEG）谱功率差异。快速傅立叶变换被用来计算连续30秒睡眠时期内的总睡眠时间的EEG功率谱。对于1985名参与者，在调整可能影响睡眠EEG的潜在混杂因素的同时，对各组之间的EEG频谱功率进行比较。在所有频带中，总睡眠期间的功率谱在组间差异显著（pcorr < 0.001）。我们发现，在控制了潜在的混杂因素后，无失眠症的参与者和有失眠症的催眠使用者之间，总睡眠的β和σ波段的定量EEG频谱功率存在差异（pcorr < 0.001）。有失眠症状的催眠药使用者比无失眠症状的参与者具有更高的β和σ功效。这项研究表明，两组之间的多导睡眠图派生的睡眠脑电图的微观结构的差异。
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 (pcorr < 0.001). We found that quantitative EEG spectral power in the beta and sigma bands of total sleep differed (pcorr < 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.
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