INTERINDIVIDUAL REACTION TIME VARIABILITY IS RELATED TO RESTING-STATE NETWORK TOPOLOGY: AN ELECTROENCEPHALOGRAM STUDY
文献类型:期刊论文
作者 | Zhou, G.1![]() ![]() ![]() ![]() |
刊名 | NEUROSCIENCE
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出版日期 | 2012-01-27 |
卷号 | 202页码:276-282 |
关键词 | cognitive function EEG functional connectivity phase lag index graph analysis |
英文摘要 | 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. |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
类目[WOS] | Neurosciences |
研究领域[WOS] | Neurosciences & Neurology |
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记录号 | WOS:000299908000026 |
源URL | [http://ir.ia.ac.cn/handle/173211/4094] ![]() |
专题 | 自动化研究所_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,2012,202:276-282. |
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,202,276-282. |
MLA | Zhou, G.,et al."INTERINDIVIDUAL REACTION TIME VARIABILITY IS RELATED TO RESTING-STATE NETWORK TOPOLOGY: AN ELECTROENCEPHALOGRAM STUDY".NEUROSCIENCE 202(2012):276-282. |
入库方式: OAI收割
来源:自动化研究所
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