Dynamic functional connectivity states characterize NREM sleep and wakefulness
Dynamic functional connectivity states characterize NREM sleep and wakefulness
复制标题
动态功能连接状态表征 NREM 睡眠和觉醒
DOI：
10.1002/hbm.24770
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发表时间：
2019-08
影响因子：
4.8
通讯作者：
Gao Jia Hong
中科院分区：
文献类型：
--
作者：
Zhou Shuqin;Zou Guangyuan;Xu Jing;Su Zihui;Zhu Huaiqiu;Zou Qihong;Gao Jia Hong
根据最近的神经影像学研究，功能连接模式的时间波动可以聚类为动态功能连接（DFC）状态，并对应于警惕性的波动。然而，是否始终存在与清醒和睡眠阶段相关的 DFC 状态，以及这些状态的特征和电生理学起源是什么，仍不清楚。本研究的目的是研究不同睡眠阶段的 DFC 特性，并探讨 DFC 特性与慢波活动之间的关系。我们收集了 48 名健康年轻志愿者的闭眼觉醒和睡眠数据，同时进行脑电图 (EEG) 和功能磁共振成像 (fMRI) 记录。 EEG 数据被用作睡眠阶段评分的黄金标准，DFC 状态是根据 fMRI 数据估计的。结果表明，fMRI 信号的 DFC 状态始终对应于觉醒和非快速眼动睡眠阶段，与簇的数量无关。此外，这些状态的平均停留时间与慢波活动显着相关。全局信号回归的包含或省略以及分区方案的选择对当前发现的影响很小。这些结果提供了强有力的证据，证明 fMRI 信号背后的 DFC 状态与警惕性的波动相匹配，并表明与警惕状态相对应的 DFC 状态可能是电生理学来源。
According to recent neuroimaging studies, temporal fluctuations in functional connectivity patterns can be clustered into dynamic functional connectivity (DFC) states and correspond to fluctuations in vigilance. However, whether there consistently exist DFC states associated with wakefulness and sleep stages and what are the characteristics and electrophysiological origin of these states remain unclear. The aims of the current study were to investigate the properties of DFC in different sleep stages and to explore the relationship between the characteristics of DFC and slow‐wave activity. We collected both eyes‐closed wakefulness and sleep data from 48 healthy young volunteers with simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings. EEG data were employed as the gold standard of sleep stage scoring, and DFC states were estimated based on fMRI data. The results demonstrated that DFC states of the fMRI signals consistently corresponded to wakefulness and nonrapid eye movement sleep stages independent of the number of clusters. Furthermore, the mean dwell time of these states significantly correlated with slow‐wave activity. The inclusion or omission of regression of the global signal and the selection of parcellation schemes exerted minimal effects on the current findings. These results provide strong evidence that DFC states underlying fMRI signals match the fluctuations of vigilance and suggest a possible electrophysiological source of DFC states corresponding to vigilance states.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
16.6
作者：
Reinen JM;Chén OY;Hutchison RM;Yeo BTT;Anderson KM;Sabuncu MR;Öngür D;Roffman JL;Smoller JW;Baker JT;Holmes AJ
通讯作者：
Holmes AJ
影响因子：
3.4
作者：
Duyn JH
通讯作者：
Duyn JH
影响因子：
3.4
作者：
Changwei W. Wu;Po-Yu Liu;Pei-Jung Tsai;Yu-Chin Wu;Ching-Sui Hung;Yu-Che Tsai;Kuan-Hung Cho;B. B
通讯作者：
Changwei W. Wu;Po-Yu Liu;Pei-Jung Tsai;Yu-Chin Wu;Ching-Sui Hung;Yu-Che Tsai;Kuan-Hung Cho;B. B
影响因子：
5.7
作者：
Lindquist MA;Xu Y;Nebel MB;Caffo BS
通讯作者：
Caffo BS