| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Approach of Complex Networks for the Determination of Brain Death |
| SUN Wei-Gang1,2,, CAO Jian-Ting1,3, WANG Ru-Bin1**
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1Institute for Cognitive Neurodynamics, School of Science, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237
2School of Science, Hangzhou Dianzi University, Hangzhou 310018
3Department of Robotics, Saitama Institute of Technology, Saitama 369-0293, Japan
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| Cite this article: |
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SUN Wei-Gang, CAO Jian-Ting, WANG Ru-Bin 2011 Chin. Phys. Lett. 28 068701 |
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Abstract In clinical practice, brain death is the irreversible end of all brain activity. Compared to current statistical methods for the determination of brain death, we focus on the approach of complex networks for real-world electroencephalography in its determination. Brain functional networks constructed by correlation analysis are derived, and statistical network quantities used for distinguishing the patients in coma or brain death state, such as average strength, clustering coefficient and average path length, are calculated. Numerical results show that the values of network quantities of patients in coma state are larger than those of patients in brain death state. Our findings might provide valuable insights on the determination of brain death.
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| Keywords:
87.18.Sn
89.75.Hc
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Received: 18 November 2010
Published: 29 May 2011
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| PACS: |
87.18.Sn
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(Neural networks and synaptic communication)
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89.75.Hc
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(Networks and genealogical trees)
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