INTERINDIVIDUAL REACTION TIME VARIABILITY IS RELATED TO RESTING-STATE NETWORK TOPOLOGY: AN ELECTROENCEPHALOGRAM STUDY

	INTERINDIVIDUAL REACTION TIME VARIABILITY IS RELATED TO RESTING-STATE NETWORK TOPOLOGY: AN ELECTROENCEPHALOGRAM STUDY
	Zhou, G.1 ; Liu, P.1; He, J.1; Dong, M.1; Yang, X.1; Hou, B.1 ; von Deneen, K. M.1,2; Qin, W.1; Tian, J.1,3 ; Tian, Jie
发表期刊	NEUROSCIENCE
	2012-01-27
卷号	202 期号:2012 页码:276-282
文章类型	Article
摘要	Both anatomical and functional brain network studies have drawn great attention recently. Previous studies have suggested the significant impacts of brain network topology on cognitive function. However, the relationship between non-task related resting-state functional brain network topology and overall efficiency of sensorimotor processing has not been well identified. In the present study, we investigated the relationship between non-task related resting-state functional brain network topology and reaction time (RT) in a Go/Nogo task using an electroencephalogram (EEG). After estimating the functional connectivity between each pair of electrodes, graph analysis was applied to characterize the network topology. Two fundamental measures, clustering coefficient (functional segregation) and characteristic path length (functional integration), as well as "small-world-ness" (the ratio between the clustering coefficient and characteristic path length) were calculated in five frequency bands. Then, the correlations between the network measures and RT were evaluated in each band separately. The present results showed that increased overall functional connectivity in alpha and gamma frequency bands was correlated with a longer RT. Furthermore, shorter RT was correlated with a shorter characteristic path length in the gamma band. This result suggested that human RTs were likely to be related to the efficiency of the brain integrating information across distributed brain regions. The results also showed that a longer RT was related to an increased gamma clustering coefficient and decreased small-world-ness. These results provided further evidence of the association between the resting-state functional brain network and cognitive function. (C) 2011 IBRO. Published by Elsevier Ltd. All rights reserved.
关键词	Cognitive Function Eeg Functional Connectivity Phase Lag Index Graph Analysis
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]	GRAPH-THEORETICAL ANALYSIS ; SMALL-WORLD NETWORKS ; COMPLEX BRAIN NETWORKS ; TOP-DOWN MODULATION ; GAMMA-BAND ACTIVITY ; FUNCTIONAL CONNECTIVITY ; ALZHEIMERS-DISEASE ; SPATIAL ATTENTION ; ALPHA-FREQUENCY ; WORKING-MEMORY
收录类别	SCI
语种	英语
WOS研究方向	Neurosciences & Neurology
WOS类目	Neurosciences
WOS记录号	WOS:000299908000026
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4094
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
作者单位	1.Xidian Univ, Res Ctr, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China 2.Univ Florida, McKnight Brain Inst, Dept Psychiat, Gainesville, FL 32610 USA 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhou, G.,Liu, P.,He, J.,et al. INTERINDIVIDUAL REACTION TIME VARIABILITY IS RELATED TO RESTING-STATE NETWORK TOPOLOGY: AN ELECTROENCEPHALOGRAM STUDY[J]. NEUROSCIENCE,2012,202(2012):276-282.
APA	Zhou, G..,Liu, P..,He, J..,Dong, M..,Yang, X..,...&Tian, Jie.(2012).INTERINDIVIDUAL REACTION TIME VARIABILITY IS RELATED TO RESTING-STATE NETWORK TOPOLOGY: AN ELECTROENCEPHALOGRAM STUDY.NEUROSCIENCE,202(2012),276-282.
MLA	Zhou, G.,et al."INTERINDIVIDUAL REACTION TIME VARIABILITY IS RELATED TO RESTING-STATE NETWORK TOPOLOGY: AN ELECTROENCEPHALOGRAM STUDY".NEUROSCIENCE 202.2012(2012):276-282.

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