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Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence
Li, Chunlin1,2; Qiao, Kaini1,2; Mu, Yan1,2; Jiang, Lili1,2
First AuthorLi, Chunlin
Correspondent Emailjiangll@psych.ac.cn (lili jiang)
Contribution Rank1
Abstract

Network efficiency characterizes how information flows within a network, and it has been used to study the neural basis of cognitive intelligence in adolescence, young adults, and elderly adults, in terms of the white matter in the human brain and functional connectivity networks. However, there were few studies investigating whether the human brain at different ages exhibited different underpins of cognitive and emotional intelligence (EI) from young adults to the middle-aged group, especially in terms of the morphological similarity networks in the human brain. In this study, we used 65 datasets (aging 18-64), including sMRI and behavioral measurements, to study the associations of network efficiency with cognitive intelligence and EI in young adults and the middle-aged group. We proposed a new method of defining the human brain morphological networks using the morphological distribution similarity (including cortical volume, surface area, and thickness). Our results showed inverted age x network efficiency interactions in the relationship of surface-area network efficiency with cognitive intelligence and EI: a negative age x global efficiency (nodal efficiency) interaction in cognitive intelligence, while a positive age x global efficiency (nodal efficiency) interaction in EI. In summary, this study not only proposed a new method of morphological similarity network but also emphasized the developmental effects on the brain mechanisms of intelligence from young adult to middle-aged groups and may promote mental health study on the middle-aged group in the future.

KeywordMRI morphological network network efficiency intelligence aging
2021-02-24
Language英语
DOI10.3389/fnagi.2021.605158
Source PublicationFRONTIERS IN AGING NEUROSCIENCE
ISSN1663-4365
Volume13Pages:14
Subtype实证研究
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[11674388] ; National Key Basic Research and Development (973) Program[2015CB351702]
PublisherFRONTIERS MEDIA SA
WOS Research AreaGeriatrics & Gerontology ; Neurosciences & Neurology
WOS SubjectGeriatrics & Gerontology ; Neurosciences
WOS IDWOS:000626897900001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/38779
Collection中国科学院行为科学重点实验室
Corresponding AuthorJiang, Lili
Affiliation1.Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
First Author AffilicationKey Laboratory of Behavioral Science, CAS
Corresponding Author AffilicationKey Laboratory of Behavioral Science, CAS
Recommended Citation
GB/T 7714
Li, Chunlin,Qiao, Kaini,Mu, Yan,et al. Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence[J]. FRONTIERS IN AGING NEUROSCIENCE,2021,13:14.
APA Li, Chunlin,Qiao, Kaini,Mu, Yan,&Jiang, Lili.(2021).Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence.FRONTIERS IN AGING NEUROSCIENCE,13,14.
MLA Li, Chunlin,et al."Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence".FRONTIERS IN AGING NEUROSCIENCE 13(2021):14.
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