Dynamic reconfiguration of human brain networks across altered states of consciousness

• Published in: Behavioural brain research Vol. 419; p. 113685
• Main Authors: Liu, Haiyang, Hu, Ke, Peng, Yingjie, Tian, Xiaohan, Wang, Meng, Ma, Bo, Wu, Youxuan, Sun, Wanchen, Liu, Bing, Li, Ang, Han, Ruquan
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.02.2022
• Subjects: Adult; Brain - diagnostic imaging; Brain - drug effects; Brain - physiology; Connectome; Consciousness; Consciousness - drug effects; Consciousness - physiology; Dexmedetomidine; Dexmedetomidine - administration & dosage; Dexmedetomidine - pharmacology; Dynamic functional connectivity; Functional magnetic resonance imaging; Humans; Hypnotics and Sedatives - administration & dosage; Hypnotics and Sedatives - pharmacology; Magnetic Resonance Imaging; Male; Multilayer networks; Nerve Net - diagnostic imaging; Nerve Net - drug effects; Nerve Net - physiology; Sedation; Young Adult; RR; PaCO2; VIS; VAN; DMN; OAA/S; Consciousness; FPN; MRI; EEG; SPO2; HR; Sedation; Multilayer networks; DAN; SOM; fMRI; LIM; RSS; ANOVA; Dexmedetomidine; Functional magnetic resonance imaging; Dynamic functional connectivity; MAP
• ISSN: 0166-4328; 1872-7549; 1872-7549
• DOI: 10.1016/j.bbr.2021.113685

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. •Dynamic network reconfiguration across different states of consciousness was investigated based on fMRI data.•Multilayer modularity networks were constructed to track the network structure over time.•Sedation is accompanied by a higher modular dynamic and a more fragmented communication brain network.•The dynamic reconfiguration of areas in the SUB, SOM and DAN seems more sensitive to altered states of consciousness.