PSYCH OpenIR  > 中国科学院行为科学重点实验室
Fluctuations between high- and low-modularity topology in time-resolved functional connectivity
Fukushima, Makoto1; Betzel, Richard F.1,2; He, Ye1,3; de Reus, Marcel A.4; van den Heuvel, Martijn P.4; Zuo, Xi-Nian3; Sporns, Olaf1,5
First AuthorMakoto Fukushima
2018-10-15
Source PublicationNEUROIMAGE
Correspondent Emailmfukushi@indiana.edu (m. fukushima)
ISSN1053-8119
Volume180Pages:406-416
Abstract

Modularity is an important topological attribute for functional brain networks. Recent human fMRI studies have reported that modularity of functional networks varies not only across individuals being related to demographics and cognitive performance, but also within individuals co-occurring with fluctuations in network properties of functional connectivity, estimated over short time intervals. However, characteristics of these time-resolved functional networks during periods of high and low modularity have remained largely unexplored. In this study we investigate basic spatiotemporal properties of time-resolved networks in the high and low modularity periods during rest, with a particular focus on their spatial connectivity patterns, temporal homogeneity and test-retest reliability. We show that spatial connectivity patterns of time-resolved networks in the high and low modularity periods are represented by increased and decreased dissociation of the default mode network module from task-positive network modules, respectively. We also find that the instances of time-resolved functional connectivity sampled from within the high (respectively, low) modularity period are relatively homogeneous (respectively, heterogeneous) over time, indicating that during the low modularity period the default mode network interacts with other networks in a variable manner. We confirmed that the occurrence of the high and low modularity periods varies across individuals with moderate inter-session test-retest reliability and that it is correlated with previously-reported individual differences in the modularity of functional connectivity estimated over longer timescales. Our findings illustrate how time-resolved functional networks are spatiotemporally organized during periods of high and low modularity, allowing one to trace individual differences in long-timescale modularity to the variable occurrence of network configurations at shorter timescales.

KeywordModularity Networks Time-resolved Functional Connectivity Resting State Connectomics
DOI10.1016/j.neuroimage.2017.08.044
Language英语
Funding OrganizationUehara Memorial Foundation Postdoctoral Fellowship ; Japan Society for the Promotion of Science Postdoctoral Fellowship for Research Abroad ; J.S. McDonnell Foundation ; National Institutes of Health ; National Science Foundation/Integrative Graduate Education and Research Traineeship Training Program in the Dynamics of Brain-Body-Environment Systems at Indiana University ; National Key Basic Research and Development Program (973 Program) ; Natural Sciences Foundation of China ; CAS K.C. Wong Education Foundation ; NIH Blueprint for Neuroscience Research
Funding ProjectUehara Memorial Foundation Postdoctoral Fellowship ; Japan Society for the Promotion of Science Postdoctoral Fellowship for Research Abroad ; J.S. McDonnell Foundation[22002082] ; National Institutes of Health[R01 AT009036-01] ; 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] ; Natural Sciences Foundation of China[81220108014] ; CAS K.C. Wong Education Foundation ; NIH Blueprint for Neuroscience Research[1U54MH091657]
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000443271100007
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
WOS KeywordTest-retest Reliability ; Resting-state Fmri ; Intraclass Correlation-coefficients ; Human Connectome Project ; Brain Networks ; Life-span ; Dynamic Reconfiguration ; Alzheimers-disease ; Temporal Dynamics ; Executive Control
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26891
Collection中国科学院行为科学重点实验室
Corresponding AuthorFukushima, Makoto
Affiliation1.Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA
2.Univ Penn, Dept Bioengn, Philadelphia, PA 19104 USA
3.Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China
4.Univ Med Ctr Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands
5.Indiana Univ, Network Sci Inst, Bloomington, IN 47405 USA
Recommended Citation
GB/T 7714
Fukushima, Makoto,Betzel, Richard F.,He, Ye,et al. Fluctuations between high- and low-modularity topology in time-resolved functional connectivity[J]. NEUROIMAGE,2018,180:406-416.
APA Fukushima, Makoto.,Betzel, Richard F..,He, Ye.,de Reus, Marcel A..,van den Heuvel, Martijn P..,...&Sporns, Olaf.(2018).Fluctuations between high- and low-modularity topology in time-resolved functional connectivity.NEUROIMAGE,180,406-416.
MLA Fukushima, Makoto,et al."Fluctuations between high- and low-modularity topology in time-resolved functional connectivity".NEUROIMAGE 180(2018):406-416.
Files in This Item:
File Name/Size DocType Version Access License
Fluctuations between(2640KB)期刊论文出版稿限制开放CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Fukushima, Makoto]'s Articles
[Betzel, Richard F.]'s Articles
[He, Ye]'s Articles
Baidu academic
Similar articles in Baidu academic
[Fukushima, Makoto]'s Articles
[Betzel, Richard F.]'s Articles
[He, Ye]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Fukushima, Makoto]'s Articles
[Betzel, Richard F.]'s Articles
[He, Ye]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Fluctuations between high- and low-modularity topology in time-resolved functional connectivity.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.