The Efficiency of a Small-World Functional Brain Network
The Efficiency of a Small-World Functional Brain Network
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DOI：
10.1088/0256-307x/29/4/048702
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发表时间：
2012-04
影响因子：
3.5
通讯作者：
Qingbai Zhao;X. Zhang;Danni Sui;Zhijuan Zhou;Qi Chen;Yiyuan Tang
中科院分区：
文献类型：
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作者：
Qingbai Zhao;X. Zhang;Danni Sui;Zhijuan Zhou;Qi Chen;Yiyuan Tang
我们通过计算功能脑网络的小世界度量与想象任务中的行为反应之间的相关性，来研究功能脑网络的小世界拓扑是否意味着高信息处理效率。功能脑网络是由多通道事件相关电位数据构成的，其中电极是节点，电极之间的功能连接性是边。结果表明，小世界尺度与反应时之间的相关具有任务特异性，即在全局图像中，聚类系数与反应时呈正相关，而在局部图像中，平均路径长度与反应时呈正相关。这表明，功能大脑网络的效率与任务有关。
We investigate whether the small-world topology of a functional brain network means high information processing efficiency by calculating the correlation between the small-world measures of a functional brain network and behavioral reaction during an imagery task. Functional brain networks are constructed by multichannel event-related potential data, in which the electrodes are the nodes and the functional connectivities between them are the edges. The results show that the correlation between small-world measures and reaction time is task-specific, such that in global imagery, there is a positive correlation between the clustering coefficient and reaction time, while in local imagery the average path length is positively correlated with the reaction time. This suggests that the efficiency of a functional brain network is task-dependent.