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Author:

Wang, Zhijiang (Wang, Zhijiang.) | Liu, Jiming (Liu, Jiming.) (Scholars:刘际明) | Zhong, Ning (Zhong, Ning.) | Zhou, Haiyan (Zhou, Haiyan.) | Qin, Yulin (Qin, Yulin.)

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EI Scopus

Abstract:

Spontaneous brain activity studies have revealed 'small-world' property in functional networks based on correlated or positively-correlated relationships. However, studies neither investigated negatively-correlated functional networks, nor checked the 'dynamic' properties of the whole functional organization. After subjects performed a specific task, what changes will be caused in the intrinsic organization? In this study, we examined pre-task and post-task resting brains using functional MRI (fMRI). Then we suggested two perspectives with positively-correlated brain functional network (PCBFN) and negatively-correlated brain functional network (NCBFN), by testing whether correlation coefficients were positive or negative. The major findings were: 1) the PCBFN was with small-world architecture but the NCBFN was not, with different motifs, and the PCBFN showed stronger small-world effect at the post-task resting state; 2) Both PCBFN and NCBFN followed an exponentially truncated power law degree distribution. This study may offer a framework to investigate the intrinsic organization of spontaneous brain activity. © 2010 IEEE.

Keyword:

Artificial intelligence Neurophysiology Brain

Author Community:

  • [ 1 ] [Wang, Zhijiang]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Liu, Jiming]Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong
  • [ 3 ] [Zhong, Ning]Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, 371-0816, Japan
  • [ 4 ] [Zhou, Haiyan]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Qin, Yulin]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Qin, Yulin]Department of Psychology, Carnegie Mellon University, United States

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Year: 2010

Language: English

Cited Count:

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SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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