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Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals
Li, Rui1,2; Yin, Shufei3; Zhu, Xinyi1,2; Ren, Weicong1,4; Yu, Jing1,5; Wang, Pengyun1,2; Zheng, Zhiwei1,2; Niu, Ya-Nan1,2; Huang, Xin1,2; Li, Juan1,2,6,7
First AuthorLi, Rui
2017-11-21
Source PublicationFRONTIERS IN AGING NEUROSCIENCE
ISSN1663-4365
SubtypeArticle
Volume9Issue:0Pages:1-13
QuartileQ1
Contribution Rank1
Abstract

Increasing evidence suggests that functional brain connectivity is an important determinant of cognitive aging. However, the fundamental concept of inter-individual variations in functional connectivity in older individuals is not yet completely understood. It is essential to evaluate the extent to which inter-individual variability in connectivity impacts cognitive performance at an older age. In the current study, we aimed to characterize individual variability of functional connectivity in the elderly and to examine its significance to individual cognition. We mapped inter-individual variability of functional connectivity by analyzing whole-brain functional connectivity magnetic resonance imaging data obtained from a large sample of cognitively normal older adults. Our results demonstrated a gradual increase in variability in primary regions of the visual, sensorimotor, and auditory networks to specific subcortical structures, particularly the hippocampal formation, and the prefrontal and parietal cortices, which largely constitute the default mode and fronto-parietal networks, to the cerebellum. Further, the inter-individual variability of the functional connectivity correlated significantly with the degree of cognitive relevance. Regions with greater connectivity variability demonstrated more connections that correlated with cognitive performance. These results also underscored the crucial function of the long-range and inter-network connections in individual cognition. Thus, individual connectivity-cognition variability mapping findings may provide important information for future research on cognitive aging and neurocognitive diseases.

Keywordindividual variability functional connectivity cognitive aging fMRI brain networks
DOI10.3389/fnagi.2017.00385
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(31671157 ; Beijing Municipal Science and Technology Commission(Z171100000117006) ; Pioneer Initiative of the Chinese Academy of Sciences, Feature Institutes Program(TSS-2015-06) ; National Key Research and Development Program of China(2016YFC1305904) ; CAS Key Laboratory of Mental Health, Institute of Psychology(KLMH2014ZK02 ; 31470998 ; KLMH2014ZG03) ; 61673374 ; 31271108 ; 31200847 ; 31600904)
WOS Research AreaGeriatrics & Gerontology ; Neurosciences & Neurology
WOS SubjectGeriatrics & Gerontology ; Neurosciences
WOS IDWOS:000415820600001
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordRESTING-STATE FMRI ; ALZHEIMERS-DISEASE ; NETWORK CONNECTIVITY ; CORTICAL NETWORKS ; HUMAN CEREBELLUM ; MOTION ARTIFACT ; WHITE-MATTER ; AGING BRAIN ; AGE ; NEUROSCIENCE
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/22012
Collection中国科学院心理健康重点实验室
Corresponding AuthorLi, Juan
Affiliation1.Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
3.Hubei Univ, Dept Psychol, Fac Educ, Wuhan, Hubei, Peoples R China
4.Hebei Normal Univ, Dept Educ, Shijiazhuang, Hebei, Peoples R China
5.Southwest Univ, Fac Psychol, Chongqing, Peoples R China
6.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Biophys, State Key Lab Brain & Cognit Sci, Beijing, Peoples R China
First Author AffilicationKey Laboratory of Mental Health, CAS
Corresponding Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
GB/T 7714
Li, Rui,Yin, Shufei,Zhu, Xinyi,et al. Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals[J]. FRONTIERS IN AGING NEUROSCIENCE,2017,9(0):1-13.
APA Li, Rui.,Yin, Shufei.,Zhu, Xinyi.,Ren, Weicong.,Yu, Jing.,...&Li, Juan.(2017).Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals.FRONTIERS IN AGING NEUROSCIENCE,9(0),1-13.
MLA Li, Rui,et al."Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals".FRONTIERS IN AGING NEUROSCIENCE 9.0(2017):1-13.
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