Instability of brain connectivity during nonrapid eye movement sleep reflects altered properties of information integration

Yi Chia Kung, Chia Wei Li, Shuo Chen, Sharon Chia Ju Chen, Chun Yi Z. Lo, Timothy J. Lane, Bharat Biswal, Changwei W. Wu, Ching Po Lin

研究成果: 雜誌貢獻文章

2 引文 (Scopus)

摘要

Nonrapid eye movement (NREM) sleep is associated with fading consciousness in humans. Recent neuroimaging studies have demonstrated the spatiotemporal alterations of the brain functional connectivity (FC) in NREM sleep, suggesting the changes of information integration in the sleeping brain. However, the common stationarity assumption in FC does not satisfactorily explain the dynamic process of information integration during sleep. The dynamic FC (dFC) across brain networks is speculated to better reflect the time-varying information propagation during sleep. Accordingly, we conducted simultaneous EEG-fMRI recordings involving 12 healthy men during sleep and observed dFC across sleep stages using the sliding-window approach. We divided dFC into two aspects: mean dFC (dFC mean ) and variance dFC (dFC var ). A high dFC mean indicates stable brain network integrity, whereas a high dFC var indicates instability of information transfer within and between functional networks. For the network-based dFC, the dFC var were negatively correlated with the dFC mean across the waking and three NREM sleep stages. As sleep deepened, the dFC mean decreased (N0~N1 > N2 > N3), whereas the dFC var peaked during the N2 stage (N0~N1 < N3 < N2). The highest dFC var during the N2 stage indicated the unstable synchronizations across the entire brain. In the N3 stage, the overall disrupted network integration was observed through the lowest dFC mean and elevated dFC var, compared with N0 and N1. Conclusively, when the network specificity (dFC mean ) breaks down, the consciousness dissipates with increasing variability of information exchange (dFC var ).

原文英語
頁(從 - 到)3192-3202
頁數11
期刊Human Brain Mapping
40
發行號11
DOIs
出版狀態已發佈 - 八月 1 2019

指紋

Eye Movements
Sleep
Brain
Sleep Stages
Consciousness
Neuroimaging
Electroencephalography
Magnetic Resonance Imaging

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

引用此文

Instability of brain connectivity during nonrapid eye movement sleep reflects altered properties of information integration. / Kung, Yi Chia; Li, Chia Wei; Chen, Shuo; Chen, Sharon Chia Ju; Lo, Chun Yi Z.; Lane, Timothy J.; Biswal, Bharat; Wu, Changwei W.; Lin, Ching Po.

於: Human Brain Mapping, 卷 40, 編號 11, 01.08.2019, p. 3192-3202.

研究成果: 雜誌貢獻文章

Kung, Yi Chia ; Li, Chia Wei ; Chen, Shuo ; Chen, Sharon Chia Ju ; Lo, Chun Yi Z. ; Lane, Timothy J. ; Biswal, Bharat ; Wu, Changwei W. ; Lin, Ching Po. / Instability of brain connectivity during nonrapid eye movement sleep reflects altered properties of information integration. 於: Human Brain Mapping. 2019 ; 卷 40, 編號 11. 頁 3192-3202.
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abstract = "Nonrapid eye movement (NREM) sleep is associated with fading consciousness in humans. Recent neuroimaging studies have demonstrated the spatiotemporal alterations of the brain functional connectivity (FC) in NREM sleep, suggesting the changes of information integration in the sleeping brain. However, the common stationarity assumption in FC does not satisfactorily explain the dynamic process of information integration during sleep. The dynamic FC (dFC) across brain networks is speculated to better reflect the time-varying information propagation during sleep. Accordingly, we conducted simultaneous EEG-fMRI recordings involving 12 healthy men during sleep and observed dFC across sleep stages using the sliding-window approach. We divided dFC into two aspects: mean dFC (dFC mean ) and variance dFC (dFC var ). A high dFC mean indicates stable brain network integrity, whereas a high dFC var indicates instability of information transfer within and between functional networks. For the network-based dFC, the dFC var were negatively correlated with the dFC mean across the waking and three NREM sleep stages. As sleep deepened, the dFC mean decreased (N0~N1 > N2 > N3), whereas the dFC var peaked during the N2 stage (N0~N1 < N3 < N2). The highest dFC var during the N2 stage indicated the unstable synchronizations across the entire brain. In the N3 stage, the overall disrupted network integration was observed through the lowest dFC mean and elevated dFC var, compared with N0 and N1. Conclusively, when the network specificity (dFC mean ) breaks down, the consciousness dissipates with increasing variability of information exchange (dFC var ).",
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AU - Kung, Yi Chia

AU - Li, Chia Wei

AU - Chen, Shuo

AU - Chen, Sharon Chia Ju

AU - Lo, Chun Yi Z.

AU - Lane, Timothy J.

AU - Biswal, Bharat

AU - Wu, Changwei W.

AU - Lin, Ching Po

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N2 - Nonrapid eye movement (NREM) sleep is associated with fading consciousness in humans. Recent neuroimaging studies have demonstrated the spatiotemporal alterations of the brain functional connectivity (FC) in NREM sleep, suggesting the changes of information integration in the sleeping brain. However, the common stationarity assumption in FC does not satisfactorily explain the dynamic process of information integration during sleep. The dynamic FC (dFC) across brain networks is speculated to better reflect the time-varying information propagation during sleep. Accordingly, we conducted simultaneous EEG-fMRI recordings involving 12 healthy men during sleep and observed dFC across sleep stages using the sliding-window approach. We divided dFC into two aspects: mean dFC (dFC mean ) and variance dFC (dFC var ). A high dFC mean indicates stable brain network integrity, whereas a high dFC var indicates instability of information transfer within and between functional networks. For the network-based dFC, the dFC var were negatively correlated with the dFC mean across the waking and three NREM sleep stages. As sleep deepened, the dFC mean decreased (N0~N1 > N2 > N3), whereas the dFC var peaked during the N2 stage (N0~N1 < N3 < N2). The highest dFC var during the N2 stage indicated the unstable synchronizations across the entire brain. In the N3 stage, the overall disrupted network integration was observed through the lowest dFC mean and elevated dFC var, compared with N0 and N1. Conclusively, when the network specificity (dFC mean ) breaks down, the consciousness dissipates with increasing variability of information exchange (dFC var ).

AB - Nonrapid eye movement (NREM) sleep is associated with fading consciousness in humans. Recent neuroimaging studies have demonstrated the spatiotemporal alterations of the brain functional connectivity (FC) in NREM sleep, suggesting the changes of information integration in the sleeping brain. However, the common stationarity assumption in FC does not satisfactorily explain the dynamic process of information integration during sleep. The dynamic FC (dFC) across brain networks is speculated to better reflect the time-varying information propagation during sleep. Accordingly, we conducted simultaneous EEG-fMRI recordings involving 12 healthy men during sleep and observed dFC across sleep stages using the sliding-window approach. We divided dFC into two aspects: mean dFC (dFC mean ) and variance dFC (dFC var ). A high dFC mean indicates stable brain network integrity, whereas a high dFC var indicates instability of information transfer within and between functional networks. For the network-based dFC, the dFC var were negatively correlated with the dFC mean across the waking and three NREM sleep stages. As sleep deepened, the dFC mean decreased (N0~N1 > N2 > N3), whereas the dFC var peaked during the N2 stage (N0~N1 < N3 < N2). The highest dFC var during the N2 stage indicated the unstable synchronizations across the entire brain. In the N3 stage, the overall disrupted network integration was observed through the lowest dFC mean and elevated dFC var, compared with N0 and N1. Conclusively, when the network specificity (dFC mean ) breaks down, the consciousness dissipates with increasing variability of information exchange (dFC var ).

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KW - functional magnetic resonance imaging (fMRI)

KW - integrated information theory (IIT)

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