睡眠开始过渡期间的脑动力学:脑电图源定位研究

Q2 Medicine
Antonio Fernandez Guerrero , Peter Achermann
{"title":"睡眠开始过渡期间的脑动力学:脑电图源定位研究","authors":"Antonio Fernandez Guerrero ,&nbsp;Peter Achermann","doi":"10.1016/j.nbscr.2018.11.001","DOIUrl":null,"url":null,"abstract":"<div><p>EEG source localization is an essential tool to reveal the cortical sources underlying brain oscillatory activity. We applied LORETA, a technique of EEG source localization, to identify the principal brain areas involved in the process of falling asleep (sleep onset, SO). We localized the contributing brain areas of activity in the classical frequency bands and tracked their temporal evolution (in 2-min intervals from 2 min prior to SO up to 10 min after SO) during a baseline night and subsequent recovery sleep after total sleep deprivation of 40 h.</p><p>Delta activity (0.5–5 Hz) gradually increased both in baseline and recovery sleep, starting in frontal areas and finally involving the entire cortex. This increase was steeper in the recovery condition. The evolution of sigma activity (12–16 Hz) resembled an inverted U-shape in both conditions and the activity was most salient in the parietal cortex. In recovery, sigma activity reached its maximum faster than in baseline, but attained lower levels. Theta activity (5–8 Hz) increased with time in large parts of the occipital lobe (baseline and recovery) and in recovery involved additionally frontal areas. Changes in alpha activity (8–12 Hz) at sleep onset involved large areas of the cortex, whereas activity in the beta range (16–24 Hz) was restricted to small cortical areas. The dynamics in recovery could be considered as a “fast-forward version” of the one in baseline.</p><p>Our results confirm that the process of falling asleep is neither spatially nor temporally a uniform process and that different brain areas might be falling asleep at a different speed potentially reflecting use dependent aspects of sleep regulation.</p></div>","PeriodicalId":37827,"journal":{"name":"Neurobiology of Sleep and Circadian Rhythms","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.nbscr.2018.11.001","citationCount":"24","resultStr":"{\"title\":\"Brain dynamics during the sleep onset transition: An EEG source localization study\",\"authors\":\"Antonio Fernandez Guerrero ,&nbsp;Peter Achermann\",\"doi\":\"10.1016/j.nbscr.2018.11.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>EEG source localization is an essential tool to reveal the cortical sources underlying brain oscillatory activity. We applied LORETA, a technique of EEG source localization, to identify the principal brain areas involved in the process of falling asleep (sleep onset, SO). We localized the contributing brain areas of activity in the classical frequency bands and tracked their temporal evolution (in 2-min intervals from 2 min prior to SO up to 10 min after SO) during a baseline night and subsequent recovery sleep after total sleep deprivation of 40 h.</p><p>Delta activity (0.5–5 Hz) gradually increased both in baseline and recovery sleep, starting in frontal areas and finally involving the entire cortex. This increase was steeper in the recovery condition. The evolution of sigma activity (12–16 Hz) resembled an inverted U-shape in both conditions and the activity was most salient in the parietal cortex. In recovery, sigma activity reached its maximum faster than in baseline, but attained lower levels. Theta activity (5–8 Hz) increased with time in large parts of the occipital lobe (baseline and recovery) and in recovery involved additionally frontal areas. Changes in alpha activity (8–12 Hz) at sleep onset involved large areas of the cortex, whereas activity in the beta range (16–24 Hz) was restricted to small cortical areas. The dynamics in recovery could be considered as a “fast-forward version” of the one in baseline.</p><p>Our results confirm that the process of falling asleep is neither spatially nor temporally a uniform process and that different brain areas might be falling asleep at a different speed potentially reflecting use dependent aspects of sleep regulation.</p></div>\",\"PeriodicalId\":37827,\"journal\":{\"name\":\"Neurobiology of Sleep and Circadian Rhythms\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.nbscr.2018.11.001\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurobiology of Sleep and Circadian Rhythms\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451994418300178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurobiology of Sleep and Circadian Rhythms","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451994418300178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 24

摘要

脑电源定位是揭示脑振荡活动皮层源的重要工具。我们使用LORETA(一种脑电图源定位技术)来识别参与入睡过程的主要脑区(睡眠发作,SO)。我们定位了经典频段的大脑活动区域,并在基线夜和完全睡眠剥夺40 小时后的恢复性睡眠期间(从SO前的2 分钟到SO后的10 分钟,间隔2分钟)跟踪了它们的时间演变。Delta活动(0.5-5 Hz)在基线睡眠和恢复性睡眠中逐渐增加,从额叶区域开始,最终涉及整个皮层。在复苏条件下,这一增长幅度更大。在两种情况下,sigma活动的演变(12-16 Hz)类似于倒u形,活动在顶叶皮层最为突出。在恢复中,西格玛活性比基线更快达到最大值,但达到较低的水平。枕叶大部分(基线和恢复)的θ波活动(5-8 Hz)随着时间的推移而增加,恢复时还涉及额叶区域。睡眠开始时α活动(8-12 Hz)的变化涉及皮质的大片区域,而β范围(16-24 Hz)的活动仅限于皮质的小区域。恢复中的动态可以被认为是基线动态的“快进版本”。我们的研究结果证实,入睡的过程既不是在空间上也不是在时间上是一个统一的过程,不同的大脑区域可能以不同的速度入睡,这可能反映了睡眠调节的使用依赖方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Brain dynamics during the sleep onset transition: An EEG source localization study

Brain dynamics during the sleep onset transition: An EEG source localization study

Brain dynamics during the sleep onset transition: An EEG source localization study

Brain dynamics during the sleep onset transition: An EEG source localization study

EEG source localization is an essential tool to reveal the cortical sources underlying brain oscillatory activity. We applied LORETA, a technique of EEG source localization, to identify the principal brain areas involved in the process of falling asleep (sleep onset, SO). We localized the contributing brain areas of activity in the classical frequency bands and tracked their temporal evolution (in 2-min intervals from 2 min prior to SO up to 10 min after SO) during a baseline night and subsequent recovery sleep after total sleep deprivation of 40 h.

Delta activity (0.5–5 Hz) gradually increased both in baseline and recovery sleep, starting in frontal areas and finally involving the entire cortex. This increase was steeper in the recovery condition. The evolution of sigma activity (12–16 Hz) resembled an inverted U-shape in both conditions and the activity was most salient in the parietal cortex. In recovery, sigma activity reached its maximum faster than in baseline, but attained lower levels. Theta activity (5–8 Hz) increased with time in large parts of the occipital lobe (baseline and recovery) and in recovery involved additionally frontal areas. Changes in alpha activity (8–12 Hz) at sleep onset involved large areas of the cortex, whereas activity in the beta range (16–24 Hz) was restricted to small cortical areas. The dynamics in recovery could be considered as a “fast-forward version” of the one in baseline.

Our results confirm that the process of falling asleep is neither spatially nor temporally a uniform process and that different brain areas might be falling asleep at a different speed potentially reflecting use dependent aspects of sleep regulation.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neurobiology of Sleep and Circadian Rhythms
Neurobiology of Sleep and Circadian Rhythms Neuroscience-Behavioral Neuroscience
CiteScore
4.50
自引率
0.00%
发文量
9
审稿时长
69 days
期刊介绍: Neurobiology of Sleep and Circadian Rhythms is a multidisciplinary journal for the publication of original research and review articles on basic and translational research into sleep and circadian rhythms. The journal focuses on topics covering the mechanisms of sleep/wake and circadian regulation from molecular to systems level, and on the functional consequences of sleep and circadian disruption. A key aim of the journal is the translation of basic research findings to understand and treat sleep and circadian disorders. Topics include, but are not limited to: Basic and translational research, Molecular mechanisms, Genetics and epigenetics, Inflammation and immunology, Memory and learning, Neurological and neurodegenerative diseases, Neuropsychopharmacology and neuroendocrinology, Behavioral sleep and circadian disorders, Shiftwork, Social jetlag.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信