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Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep

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机构: [1]Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [2]University of Chinese Academy of Sciences, Beijing, China [3]Department of Anesthesia, Beijing Tongren Hospital, Capital Medical University, Beijing, China [4]Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China [5]Beijing Shijitan Hospital, Capital Medical University, Beijing, China [6]Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China
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关键词: Resting-state functional magnetic resonance images (rs-fMRI) Brain network Rich-club organization Propofol-induced sedation Natural sleep

摘要:
Background: General anesthesia (GA) provides an invaluable experimental tool to understand the essential neural mechanisms underlying consciousness. Previous neuroimaging studies have shown the functional integration and segregation of brain functional networks during anesthetic-induced alteration of consciousness. However, the organization pattern of hubs in functional brain networks remains unclear. Moreover, comparisons with the well-characterized physiological unconsciousness can help us understand the neural mechanisms of anesthetic-induced unconsciousness. Methods: Resting-state functional magnetic resonance imaging was performed during wakefulness, mild propofol-induced sedation (m-PIS), and deep PIS (d-PIS) with clinical unconsciousness on 8 healthy volunteers and wakefulness and natural sleep on 9 age- and sex-matched healthy volunteers. Large-scale functional brain networks of each volunteer were constructed based on 160 regions of interest. Then, rich-club organizations in brain functional networks and nodal properties (nodal strength and efficiency) were assessed and analyzed among the different states and groups. Results: Rich-clubs in the functional brain networks were reorganized during alteration of consciousness induced by propofol. Firstly, rich-club nodes were switched from the posterior cingulate cortex (PCC), angular gyrus, and anterior and middle insula to the inferior parietal lobule (IPL), inferior parietal sulcus (IPS), and cerebellum. When sedation was deepened to unconsciousness, the rich-club nodes were switched to the occipital and angular gyrus. These results suggest that the rich-club nodes were switched among the high-order cognitive function networks (default mode network [DMN] and fronto-parietal network [FPN]), sensory networks (occipital network [ON]), and cerebellum network (CN) from consciousness (wakefulness) to propofol-induced unconsciousness. At the same time, compared with wakefulness, local connections were switched to rich-club connections during propofol-induced unconsciousness, suggesting a strengthening of the overall information commutation of networks. Nodal efficiency of the anterior and middle insula and ventral frontal cortex was significantly decreased. Additionally, from wakefulness to natural sleep, a similar pattern of rich-club reorganization with propofol-induced unconsciousness was observed: rich-club nodes were switched from the DMN (including precuneus and PCC) to the sensorimotor network (SMN, including part of the frontal and temporal gyrus). Compared with natural sleep, nodal efficiency of the insula, frontal gyrus, PCC, and cerebellum significantly decreased during propofol-induced unconsciousness. Conclusions: Our study demonstrated that the rich-club reorganization in functional brain networks is characterized by switching of rich-club nodes between the high-order cognitive and sensory and motor networks during propofol-induced alteration of consciousness and natural sleep. These findings will help understand the common neurological mechanism of pharmacological and physiological unconsciousness.

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出版当年[2019]版:
大类 | 2 区 医学
小类 | 2 区 神经成像
最新[2023]版:
大类 | 2 区 医学
小类 | 2 区 神经成像
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出版当年[2018]版:
Q1 NEUROIMAGING
最新[2023]版:
Q2 NEUROIMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者机构: [1]Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [2]University of Chinese Academy of Sciences, Beijing, China
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通讯机构: [1]Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [2]University of Chinese Academy of Sciences, Beijing, China [3]Department of Anesthesia, Beijing Tongren Hospital, Capital Medical University, Beijing, China [5]Beijing Shijitan Hospital, Capital Medical University, Beijing, China [6]Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China [*1]Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Zhongguancun East Rd. 95#, Beijing 100190, China [*2]Beijing Shijitan Hospital, Capital Medical University, No. 10 Tieyi Road, Yangfangdian Road, Haidian District, Beijing 100038, China.
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