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The Brain ' s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge
Wang, Xiuyi1,2,3; Krieger-Redwood, Katya3; Lyu, Baihan1,2; Lowndes, Rebecca3; Wu, Guowei1,2; Souter, Nicholas E.3; Wang, Xiaokang4; Kong, Ru5,6; Shafiei, Golia7; Bernhardt, Boris C.8; Cui, Zaixu9; Smallwood, Jonathan10; Du, Yi1,2,9,11; Jefferies, Elizabeth3
通讯作者Wang, Xiuyi(wangxiuyi@psych.ac.cn) ; Du, Yi(duyi@psych.ac.cn)
摘要Adaptive behavior relies both on speci fi c rules that vary across situations and stable long-term knowledge gained from experience. The frontoparietal control network (FPCN) is implicated in the brain ' s ability to balance these different in fl uences on action. Here, we investigate how the topographical organization of the cortex supports behavioral fl exibility within the FPCN. Functional properties of this network might re fl ect its juxtaposition between the dorsal attention network (DAN) and the default mode network (DMN), two large-scale systems implicated in top -down attention and memory-guided cognition, respectively. Our study tests whether subnetworks of FPCN are topographically proximal to the DAN and the DMN, respectively, and how these topographical differences relate to functional differences: the proximity of each subnetwork is anticipated to play a pivotal role in generating distinct cognitive modes relevant to working memory and long-term memory. We show that FPCN subsystems share multiple anatomical and functional similarities with their neighboring systems (DAN and DMN) and that this topographical architecture supports distinct interaction patterns that give rise to different patterns of functional behavior. The FPCN acts as a uni fi ed system when long-term knowledge supports behavior but becomes segregated into discrete subsystems with different patterns of interaction when long-term memory is less relevant. In this way, our study suggests that the topographical organization of the FPCN and the connections it forms with distant regions of cortex are important in fl uences on how this system supports fl exible behavior.
关键词cortical topography default mode network dorsal attention network fl exible cognition frontoparietal control network
2024-05-29
语种英语
DOI10.1523/JNEUROSCI.2223-23.2024
发表期刊JOURNAL OF NEUROSCIENCE
ISSN0270-6474
卷号44期号:22页码:22
收录类别SCI
资助项目National Natural Science Foundation of China[32300881] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E1CX4725CX] ; STI2030 -Major Projects[2021ZD0201500] ; National Natural Science Foundation of China[31822024] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB32010300] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E2CX3625CX] ; European Research Council Consolidator grant[771863-FLEXSEM]
出版者SOC NEUROSCIENCE
WOS关键词DEFAULT-MODE NETWORK ; SEMANTIC CONTROL EVIDENCE ; SURFACE-BASED ANALYSIS ; FUNCTIONAL CONNECTIVITY ; MOTION ARTIFACT ; INDIVIDUAL-DIFFERENCES ; ASSOCIATION NETWORKS ; CONFOUND REGRESSION ; DORSAL ; INFORMATION
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:001251866300016
资助机构National Natural Science Foundation of China ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences ; STI2030 -Major Projects ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences ; European Research Council Consolidator grant
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文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/48373
通讯作者Wang, Xiuyi; Du, Yi
作者单位1.Chinese Acad Sci, Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China
3.Univ York, Dept Psychol, York YO10 5DD, England
4.Univ Calif Davis, Dept Biomed Engn, Davis, CA 95616 USA
5.Natl Univ Singapore, Ctr Sleep & Cognit CSC, Yong Loo Lin Sch Med, Singapore 117549, Singapore
6.Natl Univ Singapore, Ctr Translat Magnet Resonance Res TMR, Yong Loo Lin Sch Med, Singapore 117549, Singapore
7.Univ Penn, Perelman Sch Med, Dept Psychiat, Philadelphia, PA 19104 USA
8.McGill Univ, Montreal Neurol Inst & Hosp, Monnell Brain Imaging Ctr, Montreal, PQ H3A 2B4, Canada
9.Chinese Inst Brain Res, Beijing 102206, Peoples R China
10.Queens Univ, Dept Psychol, Kingston, ON K7L 3N6, Canada
11.CAS Ctr Excellence Brain Sci & Intelligence Techno, Shanghai 200031, Peoples R China
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Wang, Xiuyi,Krieger-Redwood, Katya,Lyu, Baihan,et al. The Brain ' s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge[J]. JOURNAL OF NEUROSCIENCE,2024,44(22):22.
APA Wang, Xiuyi.,Krieger-Redwood, Katya.,Lyu, Baihan.,Lowndes, Rebecca.,Wu, Guowei.,...&Jefferies, Elizabeth.(2024).The Brain ' s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge.JOURNAL OF NEUROSCIENCE,44(22),22.
MLA Wang, Xiuyi,et al."The Brain ' s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge".JOURNAL OF NEUROSCIENCE 44.22(2024):22.
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