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
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DOI：
10.1016/j.neuroscience.2011.11.048
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发表时间：
2012-01
期刊：
影响因子：
3.3
通讯作者：
Guangyu Zhou;Peng Liu;J. He;Minghao Dong;Xuejuan Yang;B. Hou;K. M. Deneen;K. M. Deneen;W. Qin
中科院分区：
文献类型：
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作者：
Guangyu Zhou;Peng Liu;J. He;Minghao Dong;Xuejuan Yang;B. Hou;K. M. Deneen;K. M. Deneen;W. Qin
近年来，脑网络的解剖学和功能学研究受到了广泛关注。以往的研究表明，大脑网络拓扑结构对认知功能有重要影响。然而，非任务相关的静息态功能脑网络拓扑结构和感觉运动加工的整体效率之间的关系还没有得到很好的确定。在本研究中，我们研究了非任务相关的静息态脑功能网络拓扑结构和反应时间（RT）之间的关系，在一个去/Nogo任务使用脑电图（EEG）。在估计每对电极之间的功能连接性之后，应用图分析来表征网络拓扑结构。两个基本措施，聚类系数（功能分离）和特征路径长度（功能集成），以及“小世界”（聚类系数和特征路径长度之间的比率）在5个频段进行了计算。然后，分别评估每个频带中网络测量值与RT之间的相关性。目前的研究结果表明，增加整体功能连接在α和γ频带与较长的RT。此外，较短的RT与较短的特征路径长度在γ波段。这一结果表明，人类的RT可能与大脑整合分布在不同大脑区域的信息的效率有关。结果还表明，较长的RT与增加的伽马聚类系数和减少的小世界。这些结果为静息态脑功能网络与认知功能之间的联系提供了进一步的证据。
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.