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Liu H, Hu K, Peng Y, et al. Dynamic reconfiguration of human brain networks across altered states of consciousness. Behav Brain Res. 2021;419:113685doi: 10.1016/j.bbr.2021.113685.
Liu, H., Hu, K., Peng, Y., Tian, X., Wang, M., Ma, B., Wu, Y., Sun, W., Liu, B., Li, A., & Han, R. (2022). Dynamic reconfiguration of human brain networks across altered states of consciousness. Behavioural brain research, 419113685. https://doi.org/10.1016/j.bbr.2021.113685
Liu, Haiyang, et al. "Dynamic reconfiguration of human brain networks across altered states of consciousness." Behavioural brain research vol. 419 (2022): 113685. doi: https://doi.org/10.1016/j.bbr.2021.113685
Liu H, Hu K, Peng Y, Tian X, Wang M, Ma B, Wu Y, Sun W, Liu B, Li A, Han R. Dynamic reconfiguration of human brain networks across altered states of consciousness. Behav Brain Res. 2022 Feb 15;419:113685. doi: 10.1016/j.bbr.2021.113685. Epub 2021 Nov 26. PMID: 34838931.
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Behav Brain Res. 2022 Feb 15;419:113685. doi: 10.1016/j.bbr.2021.113685. Epub 2021 Nov 26.

Dynamic reconfiguration of human brain networks across altered states of consciousness.

Behavioural brain research

Haiyang Liu, Ke Hu, Yingjie Peng, Xiaohan Tian, Meng Wang, Bo Ma, Youxuan Wu, Wanchen Sun, Bing Liu, Ang Li, Ruquan Han

Affiliations

  1. Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  2. Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.
  3. State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; School of Information, Shandong Normal University, Jinan 250013, China.
  4. State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
  5. School of Information, Shandong Normal University, Jinan 250013, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
  6. State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: [email protected].
  7. Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address: [email protected].

PMID: 34838931 DOI: 10.1016/j.bbr.2021.113685

Abstract

Consciousness is supported by rich neuronal dynamics to orchestrate behaviors and conscious processing can be disrupted by general anesthetics. Previous studies suggested that dynamic reconfiguration of large-scale functional network is critical for learning and higher-order cognitive function. During altered states of consciousness, how brain functional networks are dynamically changed and reconfigured at the whole-brain level is still unclear. To fill this gap, using multilayer network approach and functional magnetic resonance imaging (fMRI) data of 21 healthy subjects, we investigated the dynamic network reconfiguration in three different states of consciousness: wakefulness, dexmedetomidine-induced sedation, and recovery. Applying time-varying community detection algorithm, we constructed multilayer modularity networks to track and quantify dynamic interactions among brain areas that span time and space. We compared four high-level network features (i.e., switching, promiscuity, integration, and recruitment) derived from multilayer modularity across the three conditions. We found that sedation state is primarily characterized by increased switching rates as well as decreased integration, representing a whole-brain pattern with higher modular dynamics and more fragmented communication; such alteration can be mostly reversed after the recovery of consciousness. Thus, our work can provide additional insights to understand the modular network reconfiguration across different states of consciousness and may provide some clinical implications for disorders of consciousness.

Copyright © 2021 Elsevier B.V. All rights reserved.

Keywords: Consciousness; Dexmedetomidine; Dynamic functional connectivity; Functional magnetic resonance imaging; Multilayer networks; Sedation

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