{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:45:49Z","timestamp":1753875949061,"version":"3.41.2"},"reference-count":100,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201569","82101260"],"award-info":[{"award-number":["62201569","82101260"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","award":["20230484460"],"award-info":[{"award-number":["20230484460"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>It is crucial to understand how anesthetics disrupt information transmission within the whole-brain network and its hub structure to gain insight into the network-level mechanisms underlying propofol-induced sedation. However, the influence of propofol on functional integration, segregation, and community structure of whole-brain networks were still unclear. We recruited 12 healthy subjects and acquired resting-state functional magnetic resonance imaging data during 5 different propofol-induced effect-site concentrations (CEs): 0, 0.5, 1.0, 1.5, and 2.0\u00a0\u03bcg\/ml. We constructed whole-brain functional networks for each subject under different conditions and identify community structures. Subsequently, we calculated the global and local topological properties of whole-brain network to investigate the alterations in functional integration and segregation with deepening propofol sedation. Additionally, we assessed the alteration of key nodes within the whole-brain community structure at each effect-site concentrations level. We found that global participation was significantly increased at high effect-site concentrations, which was mediated by bilateral postcentral gyrus. Meanwhile, connector hubs appeared and were located in posterior cingulate cortex and precentral gyrus at high effect-site concentrations. Finally, nodal participation coefficients of connector hubs were closely associated to the level of sedation. These findings provide valuable insights into the relationship between increasing propofol dosage and enhanced functional interaction within the whole-brain networks.<\/jats:p>","DOI":"10.1093\/cercor\/bhae263","type":"journal-article","created":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T00:22:36Z","timestamp":1719361356000},"source":"Crossref","is-referenced-by-count":0,"title":["Dynamical changes of interaction across functional brain communities during propofol-induced sedation"],"prefix":"10.1093","volume":"34","author":[{"given":"Shengpei","family":"Wang","sequence":"first","affiliation":[{"name":"Laboratory of Brain Atlas and Brain-Inspired Intelligence , Institute of Automation, , No. 95 Zhongguancun East Rd, Haidian District, Beijing 100190 , PR China"},{"name":"Chinese Academy of Sciences , Institute of Automation, , No. 95 Zhongguancun East Rd, Haidian District, Beijing 100190 , PR China"},{"name":"Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology, Chinese Academy of Sciences , No. 95 Zhongguancun East Rd, Haidian District, Beijing 100190 , PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianzuo","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Beijing Shijitan Hospital, Capital Medical University , No. 10 Yangfangdian Tieyi Rd, Haidian District, Beijing 100038 , PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiguang","family":"He","sequence":"additional","affiliation":[{"name":"Laboratory of Brain Atlas and Brain-Inspired Intelligence , Institute of Automation, , No. 95 Zhongguancun East Rd, Haidian District, Beijing 100190 , PR China"},{"name":"Chinese Academy of Sciences , Institute of Automation, , No. 95 Zhongguancun East Rd, Haidian District, Beijing 100190 , PR China"},{"name":"Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology, Chinese Academy of Sciences , No. 95 Zhongguancun East Rd, Haidian District, Beijing 100190 , PR China"},{"name":"School of Artificial Intelligence, University of Chinese Academy of Sciences , No. 1 Yanqihu East Road, Huairou District, Beijing 101408 , PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2869-1451","authenticated-orcid":false,"given":"Yun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University , No. 119, South Fourth Ring West Road, Fengtai District, Beijing 100070 , PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2024,6,25]]},"reference":[{"issue":"1","key":"2024062600222984300_ref1","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1093\/bja\/aep143","article-title":"Pharmacokinetic models for propofol\u2014defining and illuminating the devil in the 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