Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks

doi:10.1016/j.neuroimage.2015.12.001

	Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks
	Betzel, Richard F.1,2; Fukushima, Makoto 2; He, Ye 4,5; Zuo, Xi-Nian4,5 ; Sporns, Olaf 2,3
摘要	We investigate the relationship of resting-state fMRI functional connectivity estimated over long periods of time with time-varying functional connectivity estimated over shorter time intervals. We show that using Pearson's correlation to estimate functional connectivity implies that the range of fluctuations of functional connections over short time-scales is subject to statistical constraints imposed by their connectivity strength over longer scales. We present a method for estimating time-varying functional connectivity that is designed to mitigate this issue and allows us to identify episodes where functional connections are unexpectedly strong or weak. We apply this method to data recorded from N = 80 participants, and show that the number of unexpectedly strong/weak connections fluctuates over time, and that these variations coincide with intermittent periods of high and low modularity in time-varying functional connectivity. We also find that during periods of relative quiescence regions associated with default mode network tend to join communities with attentional, control, and primary sensory systems. In contrast, during periods where many connections are unexpectedly strong/weak, default mode regions dissociate and form distinct modules. Finally, we go on to show that, while all functional connections can at times manifest stronger (more positively correlated) or weaker (more negatively correlated) than expected, a small number of connections, mostly within the visual and somatomotor networks, do so a disproportional number of times. Our statistical approach allows the detection of functional connections that fluctuate more or less than expected based on their long-time averages and may be of use in future studies characterizing the spatio-temporal patterns of time-varying functional connectivity. (C) 2015 The Authors. Published by Elsevier Inc.
关键词	Networks Dynamic functional connectivity Modularity
	2016-02-15
语种	英语
DOI	10.1016/j.neuroimage.2015.12.001
发表期刊	NEUROIMAGE
ISSN	1053-8119
卷号	127 期号:0 页码:287-297
期刊论文类型	Article
收录类别	SCI
WOS关键词	CONNECTIVITY DYNAMICS ; INTERHEMISPHERIC COORDINATION ; COMMUNITY STRUCTURE ; MOTION ARTIFACT ; FMRI ; ORGANIZATION ; EEG ; CONNECTOMICS ; REPERTOIRE ; EMERGENCE
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
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:000369952900026
资助机构	National Science Foundation/Integrative Graduate Education ; Research Traineeship Training Program in the Dynamics of Brain-Body-Environment Systems at the Indiana University ; NIH(1 R01 AT009036-01) ; Uehara Memorial Foundation ; National Basic Research Program (973)(2015CB35170) ; Major Joint Fund for International Cooperation and Exchange of the National Natural Science Foundation(81220108014) ; Chinese Academy of Sciences K.C. Wong Education Foundation
引用统计	被引频次：183[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/311026/19579
专题	中国科学院行为科学重点实验室
作者单位	1.Univ Penn, Dept Bioengn, Sch Engn & Appl Sci, Philadelphia, PA 19104 USA 2.Indiana Univ, Psychol & Brain Sci, Bloomington, IN 47405 USA 3.Indiana Univ, Network Sci Inst, Bloomington, IN 47405 USA 4.Chinese Acad Sci, Key Lab Behav Sci, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Betzel, Richard F.,Fukushima, Makoto,He, Ye,et al. Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks[J]. NEUROIMAGE,2016,127(0):287-297.
APA	Betzel, Richard F.,Fukushima, Makoto,He, Ye,Zuo, Xi-Nian,&Sporns, Olaf.(2016).Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks.NEUROIMAGE,127(0),287-297.
MLA	Betzel, Richard F.,et al."Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks".NEUROIMAGE 127.0(2016):287-297.

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