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Structure-function relationships during segregated and integrated network states of human brain functional connectivity
Fukushima, Makoto1; Betzel, Richard F.1,2; He, Ye1,3; van den Heuvel, Martijn P.4; Zuo, Xi-Nian3,5; Sporns, Olaf1,6; Makoto Fukushima
2018-04-01
Source PublicationBRAIN STRUCTURE & FUNCTION
Correspondent Emailmfukushi@indiana.edu
ISSN1863-2653
SubtypeArticle
Volume223Issue:3Pages:1091-1106
Contribution Rank3
Abstract

Structural white matter connections are thought to facilitate integration of neural information across functionally segregated systems. Recent studies have demonstrated that changes in the balance between segregation and integration in brain networks can be tracked by time-resolved functional connectivity derived from resting-state functional magnetic resonance imaging (rs-fMRI) data and that fluctuations between segregated and integrated network states are related to human behavior. However, how these network states relate to structural connectivity is largely unknown. To obtain a better understanding of structural substrates for these network states, we investigated how the relationship between structural connectivity, derived from diffusion tractography, and functional connectivity, as measured by rs-fMRI, changes with fluctuations between segregated and integrated states in the human brain. We found that the similarity of edge weights between structural and functional connectivity was greater in the integrated state, especially at edges connecting the default mode and the dorsal attention networks. We also demonstrated that the similarity of network partitions, evaluated between structural and functional connectivity, increased and the density of direct structural connections within modules in functional networks was elevated during the integrated state. These results suggest that, when functional connectivity exhibited an integrated network topology, structural connectivity and functional connectivity were more closely linked to each other and direct structural connections mediated a larger proportion of neural communication within functional modules. Our findings point out the possibility of significant contributions of structural connections to integrative neural processes underlying human behavior.

KeywordSegregation and integration Structural connectivity Time-resolved functional connectivity Resting state Networks Connectomics
DOI10.1007/s00429-017-1539-3
Indexed BySCI
Language英语
Funding OrganizationJapan Society for the Promotion of Science Postdoctoral Fellowship for Research Abroad(H28-150) ; National Science Foundation/Integrative Graduate Education and Research Traineeship Training Program in the Dynamics of Brain-Body-Environment Systems at Indiana University(0903495) ; National Key Basic Research and Development Program (973 Program)(2015CB351702) ; Natural Sciences Foundation of China(81471740 ; CAS K.C. Wong Education Foundation ; J.S. McDonnell Foundation(22002082) ; National Institutes of Health(R01 AT009036-01) ; 81220108014)
WOS Research AreaAnatomy & Morphology ; Neurosciences & Neurology
WOS SubjectAnatomy & Morphology ; Neurosciences
WOS IDWOS:000428419500003
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordHUMAN CEREBRAL-CORTEX ; HUMAN CONNECTOME PROJECT ; RESTING-STATE ; DIFFUSION MRI ; GLOBAL SIGNAL ; DYNAMICS ; FMRI ; FLUCTUATIONS ; ORGANIZATION ; PERFORMANCE
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26093
Collection中国科学院行为科学重点实验室
Corresponding AuthorMakoto Fukushima
Affiliation1.Indiana Univ, Dept Psychol & Brain Sci, 1101 East 10th St, Bloomington, IN 47405 USA
2.Univ Penn, Dept Bioengn, Philadelphia, PA 19104 USA
3.Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China
4.Univ Med Ctr Utrecht, Brain Ctr Rudolf Magnus, Dept Psychiat, Utrecht, Netherlands
5.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
6.Indiana Univ, Network Sci Inst, Bloomington, IN USA
Recommended Citation
GB/T 7714
Fukushima, Makoto,Betzel, Richard F.,He, Ye,et al. Structure-function relationships during segregated and integrated network states of human brain functional connectivity[J]. BRAIN STRUCTURE & FUNCTION,2018,223(3):1091-1106.
APA Fukushima, Makoto.,Betzel, Richard F..,He, Ye.,van den Heuvel, Martijn P..,Zuo, Xi-Nian.,...&Makoto Fukushima.(2018).Structure-function relationships during segregated and integrated network states of human brain functional connectivity.BRAIN STRUCTURE & FUNCTION,223(3),1091-1106.
MLA Fukushima, Makoto,et al."Structure-function relationships during segregated and integrated network states of human brain functional connectivity".BRAIN STRUCTURE & FUNCTION 223.3(2018):1091-1106.
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