Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities

doi:10.1073/pnas.2022288118

	Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities
	Wang, Rong 1,2,3,4; Liu, Mianxin2,5 ; Cheng, Xinhong 1; Wu, Ying 3,4,6; Hildebrandt, Andrea 7,8; Zhou, Changsong 2,9
	2021-06-08
发表期刊	PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (IF:9.4[JCR-2023],10.8[5-Year])
ISSN	0027-8424
卷号	118 期号:23
DOI	10.1073/pnas.2022288118
摘要	Diverse cognitive processes set different demands on locally segregated and globally integrated brain activity. However, it remains an open question how resting brains configure their functional organization to balance the demands on network segregation and integration to best serve cognition. Here we use an eigenmode-based approach to identify hierarchical modules in functional brain networks and quantify the functional balance between network segregation and integration. In a large sample of healthy young adults (n = 991), we combine the whole-brain resting state functional magnetic resonance imaging (fMRI) data with a mean-filed model on the structural network derived from diffusion tensor imaging and demonstrate that resting brain networks are on average close to a balanced state. This state allows for a balanced time dwelling at segregated and integrated configurations and highly flexible switching between them. Furthermore, we employ structural equation modeling to estimate general and domain-specific cognitive phenotypes from nine tasks and demonstrate that network segregation, integration, and their balance in resting brains predict individual differences in diverse cognitive phenotypes. More specifically, stronger integration is associated with better general cognitive ability, stronger segregation fosters crystallized intelligence and processing speed, and an individual's tendency toward balance supports better memory. Our findings provide a comprehensive and deep understanding of the brain's functioning principles in supporting diverse functional demands and cognitive abilities and advance modern network neuroscience theories of human cognition.
关键词	functional brain network hierarchical modules segregation-integration balance human cognition structural equation modeling
URL	查看原文
收录类别	SCIE ; SSCI
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000684996200027
出版者	NATL ACAD SCIENCES
原始文献类型	Article
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/127940
专题	生物医学工程学院_PI研究组_沈定刚组
通讯作者	Hildebrandt, Andrea; Zhou, Changsong
作者单位	1.Xian Univ Sci & Technol, Coll Sci, Xian 710054, Peoples R China; 2.Hong Kong Baptist Univ, Ctr Nonlinear Studies, Inst Computat & Theoret Studies, Dept Phys,Beijing Hong Kong Singapore Joint Ctr N, Hong Kong, Peoples R China; 3.Xi An Jiao Tong Univ, Sch Aerosp Engn, Xian 710049, Peoples R China; 4.Xi An Jiao Tong Univ, State Key Lab Strength & Vibrat Mech Struct, Xian 710049, Peoples R China; 5.ShanghaiTech Univ, Sch Biomed Engn, Shanghai 201210, Peoples R China; 6.Xi An Jiao Tong Univ, Natl Demonstrat Ctr Expt Mech Educ, Xian 710049, Peoples R China; 7.Carl Von Ossietzky Univ Oldenburg, Dept Psychol, D-26129 Oldenburg, Germany; 8.Carl Von Ossietzky Univ Oldenburg, Res Ctr Neurosensory Sci, D-26129 Oldenburg, Germany; 9.Zhejiang Univ, Dept Phys, Hangzhou 310027, Peoples R China
推荐引用方式 GB/T 7714	Wang, Rong,Liu, Mianxin,Cheng, Xinhong,et al. Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2021,118(23).
APA	Wang, Rong,Liu, Mianxin,Cheng, Xinhong,Wu, Ying,Hildebrandt, Andrea,&Zhou, Changsong.(2021).Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,118(23).
MLA	Wang, Rong,et al."Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 118.23(2021).