| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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The Efficiency of a Small-World Functional Brain Network |
| ZHAO Qing-Bai1,ZHANG Xiao-Fei1,SUI Dan-Ni2,ZHOU Zhi-Jin1,CHEN Qi-Cai3,TANG Yi-Yuan4,5** |
1Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), and Hubei Human Development and Mental Health Key Laboratory, School of Psychology, Central China Normal University, Wuhan 430079
2Foreign Language College, Shenyang University, Shenyang 110044
3College of Life Science, Central China Normal University, Wuhan, 430079
4Institute of Neuroinformatics and Laboratory for Brain and Mind, Dalian University of Technology, Dalian 116024
5Department of Psychology, University of Oregon, Eugene, OR 97403, USA |
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| Cite this article: |
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ZHAO Qing-Bai, ZHANG Xiao-Fei, SUI Dan-Ni et al 2012 Chin. Phys. Lett. 29 048702 |
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Abstract 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.
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Received: 08 January 2012
Published: 04 April 2012
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