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Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks
Betzel, Richard F.1,2; Fukushima, Makoto2; He, Ye4,5; Zuo, Xi-Nian4,5; Sporns, Olaf2,3
2016-02-15
Source PublicationNEUROIMAGE
ISSN1053-8119
SubtypeArticle
Volume127Issue:0Pages:287-297
AbstractWe 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.
KeywordNetworks Dynamic functional connectivity Modularity
DOI10.1016/j.neuroimage.2015.12.001
Indexed BySCI
Language英语
Funding OrganizationNational 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
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000369952900026
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordCONNECTIVITY DYNAMICS ; INTERHEMISPHERIC COORDINATION ; COMMUNITY STRUCTURE ; MOTION ARTIFACT ; FMRI ; ORGANIZATION ; EEG ; CONNECTOMICS ; REPERTOIRE ; EMERGENCE
Citation statistics
Cited Times:69[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/19579
Collection中国科学院行为科学重点实验室
Affiliation1.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
Recommended Citation
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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