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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
First AuthorLi, Rui
2018-11-01
Source PublicationHUMAN BRAIN MAPPING
Correspondent Emaillijuan@psych.ac.cn
ISSN1065-9471
SubtypeArticle
Volume39Issue:11Pages:4302-4311
QuartileQ1
Contribution Rank1
Abstract

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.

KeywordBayesian Network Directed Connectivity Fronto-insular Cortex Posterior Cingulate Cortex Salience Network Triple Network Model
DOI10.1002/hbm.24247
Indexed BySCIE
Language英语
Funding OrganizationNational 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
Funding ProjectNational 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 Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000446831900010
PublisherWILEY
WOS KeywordVon Economo Neurons ; Intrinsic Functional Connectivity ; Scale Brain Networks ; Old-world Monkey ; Alzheimers-disease ; Frontotemporal Dementia ; Motion Artifact ; Time-series ; Mri ; Algorithm
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/27289
Collection中国科学院心理健康重点实验室
Corresponding AuthorLi, Juan
Affiliation1.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
Recommended Citation
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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