| Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks | |
Niu, Weikun1,2,4,5 ; Huang, Xuhui1,2,3,4; Xu, Kaibin1,2,4,5; Jiang, Tianzi1,2,4,5; Yu, Shan1,2,4,5
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| 发表期刊 | NEUROSCIENCE
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| ISSN | 0306-4522 |
| 2019-08-01 | |
| 卷号 | 412页码:190-206 |
| 通讯作者 | Yu, Shan(shan.yu@nlpr.ia.ac.cn) |
| 摘要 | Spatially separated brain areas interact with each other to form networks with coordinated activities, supporting various brain functions. Interaction structures among brain areas have been widely investigated through pairwise measures. However, interactions among multiple (e.g., triple and quadruple) areas cannot be reduced to pairwise interactions. Such higher order interactions (HOIs), e.g., exclusive-or (XOR) operation, are widely implemented in computation systems and are crucial for effective information processing. However, it is currently unclear whether any HOIs are present in large-scale brain functional networks when subjects are executing specific tasks. Here we analyzed functional magnetic resonance imaging (fMRI) data collected from human subjects executing various perceptual, motor, and cognitive tasks. We found that HOI strength in the macroscopic functional networks was very weak for all tasks, suggesting that major brain activities do not rely on HOIs on the macroscopic level at the timescale of hundreds of milliseconds. These weak HOIs during tasks were further investigated with a neural network model activated by external inputs, which suggested that weak pairwise interactions among brain areas organized the system without involving HOIs. Taken together, these results demonstrated the dominance of pairwise interactions in organizing coordinated activities among different brain areas to support various brain functions. (C) 2019 IBRO. Published by Elsevier Ltd. All rights reserved. |
| 关键词 | task state fMRI pairwise correlation functional network neural network model |
| DOI | 10.1016/j.neuroscience.2019.05.011 |
| 关键词[WOS] | HIGHER-ORDER INTERACTIONS ; NETWORKS ; CORTEX ; MICROSTIMULATION ; INTEGRATION ; COMPETITION ; MECHANISM ; COHERENCE |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | National Key Research and Development Program of China[2017YFA0105203] ; Natural Science Foundation of China[81471368] ; Natural Science Foundation of China[11505283] ; Natural Science Foundation of China[91732305] ; Natural Science Foundation of China[31620103905] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDB32040200] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDB32030200] ; Hundred-Talent Program of CAS ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-SMC019] ; National Key Research and Development Program of China[2017YFA0105203] ; Natural Science Foundation of China[81471368] ; Natural Science Foundation of China[11505283] ; Natural Science Foundation of China[91732305] ; Natural Science Foundation of China[31620103905] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDB32040200] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDB32030200] ; Hundred-Talent Program of CAS ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-SMC019] |
| 项目资助者 | National Key Research and Development Program of China ; Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) ; Hundred-Talent Program of CAS ; Key Research Program of Frontier Sciences, CAS |
| WOS研究方向 | Neurosciences & Neurology |
| WOS类目 | Neurosciences |
| WOS记录号 | WOS:000474688600016 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 七大方向——子方向分类 | 脑网络分析 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/26844 |
| 专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
| 通讯作者 | Yu, Shan |
| 作者单位 | 1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 第一作者单位 | 模式识别国家重点实验室 |
| 通讯作者单位 | 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Niu, Weikun,Huang, Xuhui,Xu, Kaibin,et al. Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks[J]. NEUROSCIENCE,2019,412:190-206. |
| APA | Niu, Weikun,Huang, Xuhui,Xu, Kaibin,Jiang, Tianzi,&Yu, Shan.(2019).Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks.NEUROSCIENCE,412,190-206. |
| MLA | Niu, Weikun,et al."Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks".NEUROSCIENCE 412(2019):190-206. |
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