Flexible integration and segregation of large-scale networks during adaptive control
文献类型：期刊论文
| 作者 | Li, Yilu1; Wang, Yanqing2,3; Chen, Antao4 |
| 刊名 | BEHAVIOURAL BRAIN RESEARCH
 |
| 出版日期 | 2023-08-05 |
| 卷号 | 451页码:10 |
| 关键词 | Adaptive control Brain networks Integration Segregation Graph theory |
| ISSN号 | 0166-4328 |
| DOI | 10.1016/j.bbr.2023.114521 |
| 通讯作者 | Chen, Antao(chenantao@sus.edu.cn) |
| 英文摘要 | Adaptive control characterizes the dynamic adjustment of cognitive control to changing environmental demand, and has obtained growing interests in its neural mechanism for the past two decades. Recent years, interpreting network reconfiguration in terms of integration and segregation has been proved to shed light on neural structure underlying various cognitive tasks. However, the relationship between network architecture and adaptive con-trol remains unclear. Here, we quantified the network integration (global efficiency, participation coefficient, inter-subnetwork efficiency) and segregation (local efficiency, modularity) in the whole-brain and analyzed how these graph theory metrics were modulated by adaptive control. The results showed that the integration of the cognitive control network (the fronto-parietal network, FPN), the visual network (VIN) and the sensori-motor network (SMN) was significantly improved when conflict was rare, so as to cope with the incongruent trials of high cognitive control demands. Additionally, as the conflict proportion increased, the segregation of the cingulo-opercular network (CON) and the default mode network (DMN) significantly enhanced, which may contribute to specialized functioning or automatic processing, and help to solve conflict in a less resource-intensive mode. Finally, using graph metrics as features, the multivariate classifier reliably predicted the context condition. These results demonstrate how large-scale brain networks support adaptive control through flexible integration and segregation. |
| 收录类别 | SCI |
| WOS关键词 | DISTINCT BRAIN NETWORKS ; FUNCTIONAL CONNECTIVITY ; DYNAMICS ; MEMORY ; MECHANISMS ; COGNITION |
| 资助项目 | National Natural Science Foundation of China[32171040] ; Major Program of National Social Science Foundation of China[22ZD187] |
| WOS研究方向 | Behavioral Sciences ; Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:001011614700001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Major Program of National Social Science Foundation of China |
| 源URL | [http://ir.psych.ac.cn/handle/311026/45593]  |
| 专题 | 心理研究所_认知与发展心理学研究室 |
| 通讯作者 | Chen, Antao |
| 作者单位 | 1.Univ Elect Sci & Technol China, Clin Hosp Chengdu Brain Sci Inst, Ctr Informat Med, Sch Life Sci & Technol,MOE Key Lab Neuroinformat, Chengdu 611731, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100101, Peoples R China 4.Shanghai Univ Sport, Ctr Exercise & Brain Sci, Sch Psychol, Shanghai 200438, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yilu,Wang, Yanqing,Chen, Antao. Flexible integration and segregation of large-scale networks during adaptive control[J]. BEHAVIOURAL BRAIN RESEARCH,2023,451:10. |
| APA | Li, Yilu,Wang, Yanqing,&Chen, Antao.(2023).Flexible integration and segregation of large-scale networks during adaptive control.BEHAVIOURAL BRAIN RESEARCH,451,10. |
| MLA | Li, Yilu,et al."Flexible integration and segregation of large-scale networks during adaptive control".BEHAVIOURAL BRAIN RESEARCH 451(2023):10. |
入库方式： OAI收割
来源：心理研究所
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