• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

无失眠个体和有失眠主诉的频繁催眠药物使用者之间的睡眠脑电图的光谱功率密度差异。

Difference in spectral power density of sleep electroencephalography between individuals without insomnia and frequent hypnotic users with insomnia complaints.

机构信息

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.

出版信息

Sci Rep. 2022 Feb 8;12(1):2117. doi: 10.1038/s41598-022-05378-6.

DOI:10.1038/s41598-022-05378-6
PMID:35136089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8826925/
Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f21a/8826925/ac0a10f23d11/41598_2022_5378_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f21a/8826925/f596f6b7fbff/41598_2022_5378_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f21a/8826925/ac0a10f23d11/41598_2022_5378_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f21a/8826925/f596f6b7fbff/41598_2022_5378_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f21a/8826925/ac0a10f23d11/41598_2022_5378_Fig2_HTML.jpg

相似文献

1
Difference in spectral power density of sleep electroencephalography between individuals without insomnia and frequent hypnotic users with insomnia complaints.无失眠个体和有失眠主诉的频繁催眠药物使用者之间的睡眠脑电图的光谱功率密度差异。
Sci Rep. 2022 Feb 8;12(1):2117. doi: 10.1038/s41598-022-05378-6.
2
Quantitative electroencephalography measures in rapid eye movement and nonrapid eye movement sleep are associated with apnea-hypopnea index and nocturnal hypoxemia in men.快速眼动和非快速眼动睡眠中的定量脑电图测量与男性的呼吸暂停-低通气指数和夜间低氧血症有关。
Sleep. 2019 Jul 8;42(7). doi: 10.1093/sleep/zsz092.
3
Spectral Power Analysis of Sleep Electroencephalography in Subjects with Different Severities of Obstructive Sleep Apnea and Healthy Controls.不同严重程度阻塞性睡眠呼吸暂停患者与健康对照者睡眠脑电图的频谱功率分析
Nat Sci Sleep. 2021 Apr 1;13:477-486. doi: 10.2147/NSS.S295742. eCollection 2021.
4
EEG power during waking and NREM sleep in primary insomnia.原发性失眠患者清醒和非快速眼动睡眠期的脑电图功率。
J Clin Sleep Med. 2013 Oct 15;9(10):1031-7. doi: 10.5664/jcsm.3076.
5
[Characteristics of Sleep Electroencephalographic Power in Chronic Insomnia Patients].[慢性失眠患者睡眠脑电图功率特征]
Sichuan Da Xue Xue Bao Yi Xue Ban. 2022 Jan;53(1):149-153. doi: 10.12182/20220160507.
6
Sleep EEG power spectra, insomnia, and chronic use of benzodiazepines.睡眠脑电图功率谱、失眠与苯二氮䓬类药物的长期使用
Sleep. 2003 May 1;26(3):313-7. doi: 10.1093/sleep/26.3.313.
7
Insomnia is Associated with Cortical Hyperarousal as Early as Adolescence.失眠早在青少年时期就与皮质高度觉醒有关。
Sleep. 2016 May 1;39(5):1029-36. doi: 10.5665/sleep.5746.
8
REM and NREM power spectral analysis on two consecutive nights in psychophysiological and paradoxical insomnia sufferers.在心理生理性和矛盾性失眠患者连续两晚的 REM 和 NREM 功率谱分析。
Int J Psychophysiol. 2013 Aug;89(2):181-94. doi: 10.1016/j.ijpsycho.2013.06.004. Epub 2013 Jun 13.
9
Increased EEG sigma and beta power during NREM sleep in primary insomnia.原发性失眠患者非快速眼动睡眠期 EEG 西格玛和贝塔功率增加。
Biol Psychol. 2012 Dec;91(3):329-33. doi: 10.1016/j.biopsycho.2012.08.009. Epub 2012 Aug 30.
10
Effects of suvorexant on sleep architecture and power spectral profile in patients with insomnia: analysis of pooled phase 3 data.苏沃雷生对失眠患者睡眠结构和功率谱特征的影响:3期汇总数据的分析
Sleep Med. 2016 Mar;19:93-100. doi: 10.1016/j.sleep.2015.10.007. Epub 2015 Nov 10.

引用本文的文献

1
Co-localized optode-electrode design for multimodal functional near infrared spectroscopy and electroencephalography.用于多模态功能近红外光谱和脑电图的共定位光电极设计
Neurophotonics. 2025 Apr;12(2):025006. doi: 10.1117/1.NPh.12.2.025006. Epub 2025 Apr 8.
2
A double-layered fully automated insomnia identification model employing synthetic data generation using MCSA and CTGAN with single-channel EEG signals.采用 MCSA 和 CTGAN 生成合成数据的双层全自动化失眠识别模型,使用单通道 EEG 信号。
Sci Rep. 2024 Oct 8;14(1):23427. doi: 10.1038/s41598-024-74706-9.
3
Hyperarousal features in the sleep architecture of individuals with and without insomnia.

本文引用的文献

1
Diazepam effects on local cortical neural activity during sleep in mice.地西泮对小鼠睡眠时局部皮质神经活动的影响。
Biochem Pharmacol. 2021 Sep;191:114515. doi: 10.1016/j.bcp.2021.114515. Epub 2021 Mar 10.
2
Can spectral power predict subjective sleep quality in healthy individuals?光谱功率能否预测健康个体的主观睡眠质量?
J Sleep Res. 2019 Dec;28(6):e12848. doi: 10.1111/jsr.12848. Epub 2019 Apr 1.
3
Sleep architecture in insomniacs with severe benzodiazepine abuse.患有严重苯二氮䓬类药物滥用的失眠症患者的睡眠结构
有失眠症和无失眠症个体睡眠结构中的高觉醒特征。
J Sleep Res. 2025 Feb;34(1):e14256. doi: 10.1111/jsr.14256. Epub 2024 Jun 9.
4
Excessive daytime sleepiness is associated with relative delta frequency power among patients with mild OSA.在轻度阻塞性睡眠呼吸暂停患者中,日间过度嗜睡与相对δ频率功率有关。
Front Neurol. 2024 Apr 5;15:1367860. doi: 10.3389/fneur.2024.1367860. eCollection 2024.
5
Wavelet Entropy Analysis of Electroencephalogram Signals During Wake and Different Sleep Stages in Patients with Insomnia Disorder.失眠症患者清醒及不同睡眠阶段脑电图信号的小波熵分析
Nat Sci Sleep. 2024 Apr 6;16:347-358. doi: 10.2147/NSS.S452017. eCollection 2024.
6
The Relationship between Sleep Parameters Measured by Polysomnography and Selected Neurotrophic Factors.多导睡眠图测量的睡眠参数与选定神经营养因子之间的关系。
J Clin Med. 2024 Feb 3;13(3):893. doi: 10.3390/jcm13030893.
7
Suvorexant alters dynamics of the sleep-electroencephalography-power spectrum and depressive-symptom trajectories during inpatient opioid withdrawal.苏沃雷生改变了住院阿片类药物戒断期间睡眠-脑电图-功率谱的动力学和抑郁症状轨迹。
Sleep. 2024 Apr 12;47(4). doi: 10.1093/sleep/zsae025.
8
Elevated beta activity in the nighttime sleep and multiple sleep latency electroencephalograms of chronic insomnia patients.慢性失眠患者夜间睡眠及多次睡眠潜伏期脑电图中的β活动增强。
Front Neurosci. 2022 Nov 2;16:1045934. doi: 10.3389/fnins.2022.1045934. eCollection 2022.
Clin Neurophysiol. 2017 Jun;128(6):875-881. doi: 10.1016/j.clinph.2017.03.009. Epub 2017 Mar 16.
4
Hyperarousal during sleep in untreated primary insomnia sufferers: A polysomnographic study.未治疗的原发性失眠患者睡眠时过度唤醒:一项多导睡眠图研究。
Psychiatry Res. 2017 Jul;253:71-78. doi: 10.1016/j.psychres.2017.03.045. Epub 2017 Mar 23.
5
EEG spectral analysis of NREM sleep in a large sample of patients with insomnia and good sleepers: effects of age, sex and part of the night.大量失眠患者和睡眠良好者的非快速眼动睡眠脑电图频谱分析:年龄、性别和夜间时段的影响
J Sleep Res. 2017 Feb;26(1):92-104. doi: 10.1111/jsr.12448. Epub 2016 Sep 16.
6
Comparison of two assessment tools that measure insomnia: the insomnia severity index and polysomnography.两种测量失眠的评估工具的比较:失眠严重程度指数和多导睡眠图。
Indian J Psychol Med. 2014 Jan;36(1):54-7. doi: 10.4103/0253-7176.127251.
7
Spectral analysis of the sleep onset period in primary insomnia.原发性失眠睡眠起始期的光谱分析。
Clin Neurophysiol. 2014 May;125(5):979-87. doi: 10.1016/j.clinph.2013.10.010. Epub 2013 Nov 13.
8
EEG power during waking and NREM sleep in primary insomnia.原发性失眠患者清醒和非快速眼动睡眠期的脑电图功率。
J Clin Sleep Med. 2013 Oct 15;9(10):1031-7. doi: 10.5664/jcsm.3076.
9
Sleep changes in the disorder of insomnia: a meta-analysis of polysomnographic studies.失眠障碍中的睡眠变化:多导睡眠图研究的荟萃分析。
Sleep Med Rev. 2014 Jun;18(3):195-213. doi: 10.1016/j.smrv.2013.04.001.
10
The microstructure of sleep in primary insomnia: an overview and extension.原发性失眠的睡眠微观结构:概述与拓展。
Int J Psychophysiol. 2013 Aug;89(2):171-80. doi: 10.1016/j.ijpsycho.2013.04.002. Epub 2013 Apr 11.