• 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

从清醒到睡眠过渡期间大脑活动的地形学和时间模式。

Topographical and temporal patterns of brain activity during the transition from wakefulness to sleep.

作者信息

Wright K P, Badia P, Wauquier A

机构信息

Department of Psychology, Bowling Green State University, Ohio 43403, USA.

出版信息

Sleep. 1995 Dec;18(10):880-9. doi: 10.1093/sleep/18.10.880.

DOI:10.1093/sleep/18.10.880
PMID:8746396
Abstract

Changes in electroencephalographic (EEG) spectral power, coherence and frequency were examined for the last minute of wakefulness and the first minute of sleep via topographical mapping. Data were also analyzed across sequential 1-minute samples of wake, stage 1 and stage 2 sleep. Not all brain regions exhibited the same EEG changes during the transition and not all brain regions were found to change at the same time. Brain sites closest to the midline (e.g. F4, C4, P4, O2) showed significant changes in EEG power (increases in theta and decreases in alpha power) during the transition to sleep, whereas brain sites most lateral to the midline (e.g. Fp2, F8, T4) showed little change. Decreases in alpha coherence were observed from wakefulness to sleep for brain site comparisons furthest away from each other (e.g. T3 vs. T4, T5 vs. T6, F7 vs. F8, F3 vs. O1, F4 vs. O2). Spectral analysis of EEG activity revealed that the time of significant change in EEG power varies among brain regions. Decreases in alpha power continued to occur later into the transition period for the posterior regions of the brain (O2, P4).

摘要

通过地形图检查了清醒最后一分钟和睡眠第一分钟的脑电图(EEG)频谱功率、相干性和频率变化。还对清醒、1期睡眠和2期睡眠的连续1分钟样本进行了数据分析。并非所有脑区在转换过程中都表现出相同的脑电图变化,也并非所有脑区都在同一时间发生变化。最靠近中线的脑区(如F4、C4、P4、O2)在向睡眠转换过程中脑电图功率有显著变化(θ波增加,α波功率降低),而最靠近中线外侧的脑区(如Fp2、F8、T4)变化很小。对于彼此距离最远的脑区比较(如T3与T4、T5与T6、F7与F8、F3与O1、F4与O2),从清醒到睡眠观察到α波相干性降低。脑电图活动的频谱分析表明,脑电图功率显著变化的时间在不同脑区有所不同。大脑后部区域(O2、P4)在转换期后期α波功率持续下降。

相似文献

1
Topographical and temporal patterns of brain activity during the transition from wakefulness to sleep.从清醒到睡眠过渡期间大脑活动的地形学和时间模式。
Sleep. 1995 Dec;18(10):880-9. doi: 10.1093/sleep/18.10.880.
2
Topographical characteristics of slow wave activities during the transition from wakefulness to sleep.从清醒到睡眠过渡期间慢波活动的地形特征。
Clin Neurophysiol. 2000 Mar;111(3):417-27. doi: 10.1016/s1388-2457(99)00253-9.
3
EEG alpha phase shifts during transition from wakefulness to drowsiness.脑电图α节律在从觉醒到困倦的过渡期间的相位转变。
Int J Psychophysiol. 2012 Dec;86(3):195-205. doi: 10.1016/j.ijpsycho.2012.04.012. Epub 2012 May 9.
4
Antero-posterior EEG changes during the wakefulness-sleep transition.清醒-睡眠转换期间脑电图的前后变化。
Clin Neurophysiol. 2001 Oct;112(10):1901-11. doi: 10.1016/s1388-2457(01)00649-6.
5
Longitudinal sleep EEG power spectral analysis studies in adolescents with minor head injury.轻度头部损伤青少年的纵向睡眠脑电图功率谱分析研究
J Neurotrauma. 1997 Aug;14(8):549-59. doi: 10.1089/neu.1997.14.549.
6
Recognition of wake-sleep stage 1 multichannel eeg patterns using spectral entropy features for drowsiness detection.利用频谱熵特征识别睡眠-觉醒1期多通道脑电图模式以进行嗜睡检测。
Australas Phys Eng Sci Med. 2016 Sep;39(3):797-806. doi: 10.1007/s13246-016-0472-8. Epub 2016 Aug 22.
7
EEG microstates of wakefulness and NREM sleep.清醒和非快速眼动睡眠的 EEG 微观状态。
Neuroimage. 2012 Sep;62(3):2129-39. doi: 10.1016/j.neuroimage.2012.05.060. Epub 2012 May 30.
8
Spectral analysis of all-night sleep EEG in healthy adults.
Eur Neurol. 1983;22(5):322-39. doi: 10.1159/000115579.
9
Inter- and intrahemispheric EEG correlation during sleep and wakefulness.睡眠和清醒状态下半球间及半球内脑电图相关性
Sleep. 1995 May;18(4):257-65. doi: 10.1093/sleep/18.4.257.
10
[Dynamics of spectral characteristics of theta- and alpha-range EEG during negative emotional reactions].[负性情绪反应期间θ波和α波频段脑电图频谱特征的动态变化]
Zh Vyssh Nerv Deiat Im I P Pavlova. 2001 Sep-Oct;51(5):563-71.

引用本文的文献

1
Unsupervised Multitaper Spectral Method for Identifying REM Sleep in Intracranial EEG Recordings Lacking EOG/EMG Data.用于在缺乏眼电图/肌电图数据的颅内脑电图记录中识别快速眼动睡眠的无监督多窗谱方法
Bioengineering (Basel). 2023 Aug 25;10(9):1009. doi: 10.3390/bioengineering10091009.
2
The neurophysiologic landscape of the sleep onset: a systematic review.睡眠起始的神经生理学概况:一项系统综述。
J Thorac Dis. 2023 Aug 31;15(8):4530-4543. doi: 10.21037/jtd-23-325. Epub 2023 Aug 14.
3
An Efficient Approach for Driver Drowsiness Detection at Moderate Drowsiness Level Based on Electroencephalography Signal and Vehicle Dynamics Data.
一种基于脑电图信号和车辆动力学数据的中度困倦水平驾驶员困倦检测有效方法。
J Med Signals Sens. 2022 Nov 10;12(4):294-305. doi: 10.4103/jmss.jmss_124_21. eCollection 2022 Oct-Dec.
4
A temporal sequence of thalamic activity unfolds at transitions in behavioral arousal state.丘脑活动的时间序列在行为唤醒状态的转变中展开。
Nat Commun. 2022 Sep 16;13(1):5442. doi: 10.1038/s41467-022-33010-8.
5
Carbon dioxide effects on daytime sleepiness and EEG signal: A combinational approach using classical frequentist and Bayesian analyses.二氧化碳对日间嗜睡和脑电图信号的影响:使用经典频率主义和贝叶斯分析的组合方法。
Indoor Air. 2022 Jun;32(6):e13055. doi: 10.1111/ina.13055.
6
Cortical activity during sensorial tactile stimulation in healthy adults through Vojta therapy. A randomized pilot controlled trial.健康成年人通过 Vojta 疗法进行感觉触觉刺激时的皮质活动。一项随机对照的初步试验。
J Neuroeng Rehabil. 2021 Jan 21;18(1):13. doi: 10.1186/s12984-021-00824-4.
7
Possible Effect of Binaural Beat Combined With Autonomous Sensory Meridian Response for Inducing Sleep.双耳节拍结合自主性感觉经络反应对诱导睡眠的可能影响。
Front Hum Neurosci. 2019 Dec 2;13:425. doi: 10.3389/fnhum.2019.00425. eCollection 2019.
8
Alpha-wave Characteristics in Psychophysiological Insomnia.心理生理性失眠的阿尔法波特征
J Med Signals Sens. 2019 Oct 24;9(4):259-266. doi: 10.4103/jmss.JMSS_51_18. eCollection 2019 Oct-Dec.
9
Oscillating circuitries in the sleeping brain.睡眠大脑中的振荡回路。
Nat Rev Neurosci. 2019 Dec;20(12):746-762. doi: 10.1038/s41583-019-0223-4. Epub 2019 Oct 15.
10
Brain dynamics during the sleep onset transition: An EEG source localization study.睡眠起始转换过程中的脑动力学:一项脑电图源定位研究。
Neurobiol Sleep Circadian Rhythms. 2018 Nov 28;6:24-34. doi: 10.1016/j.nbscr.2018.11.001. eCollection 2019 Jan.