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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
第一作者Makoto Fukushima
2018-10-15
发表期刊NEUROIMAGE
通讯作者邮箱mfukushi@indiana.edu (m. fukushima)
ISSN1053-8119
卷号180页码:406-416
摘要

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.

关键词Modularity Networks Time-resolved Functional Connectivity Resting State Connectomics
DOI10.1016/j.neuroimage.2017.08.044
语种英语
项目资助者Uehara 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
资助项目Uehara 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研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000443271100007
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
关键词[WOS]Test-retest Reliability ; Resting-state Fmri ; Intraclass Correlation-coefficients ; Human Connectome Project ; Brain Networks ; Life-span ; Dynamic Reconfiguration ; Alzheimers-disease ; Temporal Dynamics ; Executive Control
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/26891
专题中国科学院行为科学重点实验室
通讯作者Fukushima, Makoto
作者单位1.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
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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.
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