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视听刺激脑电信号的相位同步分析 被引量:2

Phase Synchronization Analysis of EEG Signal During Audio-visual Stimulation
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摘要 脑电(EEG)同步被认为是脑功能区域整合的表现。高级脑功能需要具有特定功能的多区域神经系统间进行不同层次的整合和协调来完成。本文提出了一种新的相位同步分析方法—互近似熵。采用分段频率,用同步指数、互信息熵与互近似熵方法对视听刺激EEG导联数据进行了相位同步的比较分析,三种分析得到了一致的结果,说明互近似熵方法也能很好反映出两导联的相位同步。文章同时通过相位同步分析结果进行了大脑反应区域的探索分析。此研究为脑机接口的设计奠定了基础。 EEG Synchronization is considered the conformity of the brain functional areas. Advanced brain function requires many nervous systems with a specific function in relevant brain regions (areas)to achieve integration and co- ordination at different levels. In this paper, a new method for phase synchronization analysis-Mutually Approximate Entropy is proposed to process different frequency band of EEG signal during audio-visual stimulation and get Similar results with the method of Synchronization Index and Mutual Information Entropy. This showed that the Mutually Approximate Entropy can lead to a good indication of the phase synchronization between two leads. The paper also explored the brain reaction zone by the results of the phase synchronization analysis. The research work lays the foundation for the brain-computer interface design.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2012年第4期645-649,共5页 Journal of Biomedical Engineering
基金 北京市教委面上项目资助(KM201010772005)
关键词 视听刺激 相位同步 互近似熵 脑功能区 Audio-visual stimulation Phase synchronization Mutually Approximate Entropy Brain reaction zone
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  • 1吴健辉,罗跃嘉.神经元活动的时相同步与脑功能整合[J].心理科学进展,2002,10(4):367-374. 被引量:3
  • 2VAREELA F, LACHAUX J P, RODRIGUE E, et al. The brainweb: phase synchronization and large-scale integration [J]. Nat Rev Neurosci, 2001,2(4) :229-239. 被引量:1
  • 3GRAY C M. The temporal correlation hypothesis of visual feature integration : still alive and well[J]. Neuron, 1999,24 : 31-47. 被引量:1
  • 4ROOPUM K, CUNINGHAM M O, RACCA C, et al. Region-Specific Changes in Gamma and Beta2 Rhythms in NMDA Receptor Dysfunction Models of Schizophrenia [J]. Schizophrenic Bull, 2008,34(5) : 962-973. 被引量:1
  • 5WOMELSDOR T, SCHOFFELEN J M, OOSTENVELD R, et al. Modulation of neuronal interactions through neuronal synchronization[J]. Science, 2007,15 : 1609-1612. 被引量:1
  • 6QUIAN Q R, KRASKOV A, KREUZ T, et al. Performance of different synchronization measures in real data: A case study on electroencephalographic signals[J]. Physical Review E, 2002,65(041903) :1-14. 被引量:1
  • 7PEREDA E, QUIROGA R Q, BHATTACH J. Nonlinear multivariate analysis of neurophysiologic signals [J]. Prog Neurobiol, 2005,77 : 1-37. 被引量:1
  • 8TRUJILLO L T, PETERSON M A, KASZNIAK A W, et al. EEG phase synchrony differences across visual perception conditions may depend on recording and analysis methods[J]. Clinical Neurophysiology, 2005,116(1): 172-189. 被引量:1
  • 9BOB P, PALUS M, SUSTA M, et al. EEG phase synchronization in patients with paranoid schizophrenia[J]. Neurosci Lett, 2008,447(1) :73-77. 被引量:1
  • 10PALVA J M, PALVA S, KAILA K. Phase synchrony among neuronal oscillations in the human cortex[J]. The Journal of Ncuroscicnce, 2005,25(15):3962-3972. 被引量:1

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  • 1GOLDBERGER A L. Non-linear dynamics for clinicians:chaos theory,fractals,and complexity at the bedside[J].LANCET,1996,(9011):1312-1314. 被引量:1
  • 2HU Z,SHI P. Interregional Functional Connectivity via Pattern Synchrony[A].Singapore:IEEE,2006.1-6. 被引量:1
  • 3PINCUS S M. Approximate entropy as a measure of system complexity[J].Proceedings of the National Academy of Sciences,1991,(06):2297-2301. 被引量:1
  • 4RICHMAN J S,MOORMAN J R. Physiological time-series analysis using approximate entropy and sample entropy[J].A-merican Journal of Physiology-Heart and Circulatory Physiology,2000,(06):H2039-H2049. 被引量:1
  • 5ZHANG T,YANG Z,COOTE J H. Cross-sample entropy statistic as a measure of complexity and regularity of renal sympa-thetic nerve activity in the rat[J].EXPERIMENTAL PHYSIOLOGY,2007,(04):659-669. 被引量:1
  • 6XIE H,GUO J,ZHENG Y. A comparative study of pattern synchronization detection between neural signals using different cross-entropy measures[J].Biological Cybernetics,2010,(02):123-135. 被引量:1
  • 7XIE H,ZHENG Y,GUO J. Cross-fuzzy entropy:A new method to test pattern synchrony of bivariate time series[J].Information Sciences,2010,(09):1715-1724. 被引量:1
  • 8LI P,LIU C,WANG X. Testing pattern synchronization in coupled systems through different entropy-based measures[J].Medical&Biological Engineering&Computing,2013,(05):581-591. 被引量:1
  • 9LI P,LIU C,WANG X. A low-complexity data-adaptive approach for premature ventricular contraction recognition[J/OL].Signal,Image and Video Processing,2013. 被引量:1
  • 10LI L,LIU C,LI K. Comparison of detrending methods in frequency domain analysis of R-R interval series[A].Sanya,China:ICMTMA,2012.1359-1362. 被引量:1

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