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睡眠惯性期间警觉性的额调控器丧失:一项同步 EEG-fMRI 研究。

Loss of frontal regulator of vigilance during sleep inertia: A simultaneous EEG-fMRI study.

机构信息

Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.

Key Laboratory of Cognition and Personality, Ministry of Education, Chongqing, China.

出版信息

Hum Brain Mapp. 2020 Oct 15;41(15):4288-4298. doi: 10.1002/hbm.25125. Epub 2020 Jul 11.

Abstract

Sleep inertia refers to a distinct physiological state of waking up from sleep accompanied by performance impairments and sleepiness. The neural substrates of sleep inertia are unknown, but growing evidence suggests that this inertia state maintains certain sleep features. To investigate the neurophysiological mechanisms of sleep inertia, a comparison of pre-sleep and post-sleep wakefulness with eyes-open resting-state was performed using simultaneous EEG-fMRI, which has the potential to reveal the dynamic details of neuroelectric and hemodynamic responses with high temporal resolution. Our data suggested sleep-like features of slow EEG power and decreased BOLD activity were persistent during sleep inertia. In the pre-sleep phase, participants with stronger EEG vigilance showed stronger activity in the fronto-parietal network (FPN), but this phenomenon disappeared during sleep inertia. A time course analysis confirmed a decreased correlation between EEG vigilance and the FPN activity during sleep inertia. This simultaneous EEG-fMRI study advanced our understanding of sleep inertia and revealed the importance of the FPN in maintaining awareness. This is the first study to reveal the dynamic brain network changes from multi-modalities perspective during sleep inertia.

摘要

睡眠惯性是指从睡眠中醒来时伴随着表现能力下降和困意的一种独特的生理状态。睡眠惯性的神经基础尚不清楚,但越来越多的证据表明,这种惯性状态保持着某些睡眠特征。为了研究睡眠惯性的神经生理机制,我们使用同步 EEG-fMRI 对睡眠前和睡眠后清醒状态与睁眼静息状态进行了比较,这有可能揭示具有高时间分辨率的神经电和血流动力学反应的动态细节。我们的数据表明,在睡眠惯性期间,脑电图慢波功率和 BOLD 活动的降低仍然具有睡眠样特征。在睡眠前阶段,EEG 警觉性较强的参与者在前额顶叶网络 (FPN) 中表现出更强的活动,但这种现象在睡眠惯性期间消失了。时程分析证实,在睡眠惯性期间,EEG 警觉性与 FPN 活动之间的相关性降低。这项同步 EEG-fMRI 研究增进了我们对睡眠惯性的理解,并揭示了 FPN 在维持意识方面的重要性。这是第一项从多模态角度揭示睡眠惯性期间动态脑网络变化的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe59/7502830/eda9d954be0a/HBM-41-4288-g001.jpg

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