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The fronto-insular cortex causally mediates the default-mode and central-executive networks to contribute to individual cognitive performance in healthy elderly
Li, Rui1,2; Zhang, Shouzi3; Yin, Shufei4; Ren, Weicong1,5; He, Rongqiao6; Li, Juan1,2,6,7
第一作者Li, Rui
2018-11-01
发表期刊HUMAN BRAIN MAPPING
通讯作者邮箱lijuan@psych.ac.cn
ISSN1065-9471
文章类型Article
卷号39期号:11页码:4302-4311
摘要

The triple network model that consists of the default-mode network (DMN), central-executive network (CEN), and salience network (SN) has been suggested as a powerful paradigm for investigation of network mechanisms underlying various cognitive functions and brain disorders. A crucial hypothesis in this model is that the fronto-insular cortex (FIC) in the SN plays centrally in mediating interactions between the networks. Using a machine learning approach based on independent component analysis and Bayesian network (BN), this study characterizes the directed connectivity architecture of the triple network and examines the role of FIC in connectivity of the model. Data-driven exploration shows that the FIC initiates influential connections to all other regions to globally control the functional dynamics of the triple network. Moreover, stronger BN connectivity between the FIC and regions of the DMN and the CEN, as well as the increased outflow connections from the FIC are found to predict individual performance in memory and executive tasks. In addition, the posterior cingulate cortex in the DMN was also confirmed as an inflow hub that integrates information converging from other areas. Collectively, the results highlight the central role of FIC in mediating the activity of large-scale networks, which is crucial for individual cognitive function.

关键词Bayesian Network Directed Connectivity Fronto-insular Cortex Posterior Cingulate Cortex Salience Network Triple Network Model
DOI10.1002/hbm.24247
收录类别SCIE
语种英语
项目资助者National Natural Science Foundation of China ; Beijing Municipal Science & Technology Commission ; CAS Key Laboratory of Mental Health, Institute of Psychology ; Pioneer Initiative of the Chinese Academy of Sciences, Feature Institutes Program ; National Key Research and Development Program of China
资助项目National Natural Science Foundation of China[31200847] ; National Natural Science Foundation of China[31271108] ; National Natural Science Foundation of China[31470998] ; National Natural Science Foundation of China[31600904] ; National Natural Science Foundation of China[31671157] ; National Natural Science Foundation of China[31711530157] ; National Natural Science Foundation of China[61673374] ; Beijing Municipal Science & Technology Commission[Z171100000117006] ; Beijing Municipal Science & Technology Commission[Z171100008217006] ; CAS Key Laboratory of Mental Health, Institute of Psychology[KLMH2014ZG03] ; CAS Key Laboratory of Mental Health, Institute of Psychology[KLMH2014ZK02] ; Pioneer Initiative of the Chinese Academy of Sciences, Feature Institutes Program[TSS-2015-06] ; National Key Research and Development Program of China[2016YFC1305900]
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000446831900010
出版者WILEY
关键词[WOS]Von Economo Neurons ; Intrinsic Functional Connectivity ; Scale Brain Networks ; Old-world Monkey ; Alzheimers-disease ; Frontotemporal Dementia ; Motion Artifact ; Time-series ; Mri ; Algorithm
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/27289
专题中国科学院心理健康重点实验室
通讯作者Li, Juan
作者单位1.Inst Psychol, Ctr Aging Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
3.Beijing Geriatr Hosp, Beijing, Peoples R China
4.Hubei Univ, Dept Psychol, Fac Educ, Wuhan, Hubei, Peoples R China
5.Hebei Normal Univ, Dept Educ, Shijiazhuang, Hebei, Peoples R China
6.Chinese Acad Sci, Inst Biophys, State Key Lab Brain & Cognit Sci, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing, Peoples R China
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GB/T 7714
Li, Rui,Zhang, Shouzi,Yin, Shufei,et al. The fronto-insular cortex causally mediates the default-mode and central-executive networks to contribute to individual cognitive performance in healthy elderly[J]. HUMAN BRAIN MAPPING,2018,39(11):4302-4311.
APA Li, Rui,Zhang, Shouzi,Yin, Shufei,Ren, Weicong,He, Rongqiao,&Li, Juan.(2018).The fronto-insular cortex causally mediates the default-mode and central-executive networks to contribute to individual cognitive performance in healthy elderly.HUMAN BRAIN MAPPING,39(11),4302-4311.
MLA Li, Rui,et al."The fronto-insular cortex causally mediates the default-mode and central-executive networks to contribute to individual cognitive performance in healthy elderly".HUMAN BRAIN MAPPING 39.11(2018):4302-4311.
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