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Neural Mass Model Driven Nonlinear EEG Analysis

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Medical Imaging and Augmented Reality (MIAR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6326))

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Abstract

The neural mass models have been widely used for simulating the highly complex Electroencephalogram (EEG) rhythmic activity, when the extrinsic input p(t) passes through the model, similar oscillatory signals are produced. In this paper, we present an empirical exploration to the theoretical prediction of such a model by fitting the actual EEG signal to the Jansen’s neural mass model. The results suggest that the model can produce good approximation to the actual EEG signal. The extrinsic input used formerly has a relatively big SD (standard deviation), which may produce unreliable synthetic data, even bias the analysis results. In our study, the mean values of estimated p(t) fall well within the interval for the simulate study recommended by previous reports, but the SD of p(t) is far less than the experience value used before.

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Authors and Affiliations

  1. Department of Optical Engineering, Zhejiang University, Hangzhou, 310027, China

    Xin Fang & Zhenghui Hu

  2. B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, 14623

    Pengcheng Shi

Authors
  1. Xin Fang
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  2. Zhenghui Hu
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  3. Pengcheng Shi
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Editor information

Editors and Affiliations

  1. Department of Bioengineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo, 113-8656, Tokyo, Japan

    Hongen Liao

  2. Department of Surgery and Cancer, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

    P. J. "Eddie" Edwards

  3. Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, 60637, Chicago, IL, USA

    Xiaochuan Pan

  4. Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, 100080, Beijing, China

    Yong Fan

  5. Institute of Biomedical Engineering, Imperial College London, 180 Queens Gate, SW7 2BZ, London, UK

    Guang-Zhong Yang

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© 2010 Springer-Verlag Berlin Heidelberg

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Fang, X., Hu, Z., Shi, P. (2010). Neural Mass Model Driven Nonlinear EEG Analysis. In: Liao, H., Edwards, P.J."., Pan, X., Fan, Y., Yang, GZ. (eds) Medical Imaging and Augmented Reality. MIAR 2010. Lecture Notes in Computer Science, vol 6326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15699-1_48

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  • DOI: https://doi.org/10.1007/978-3-642-15699-1_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15698-4

  • Online ISBN: 978-3-642-15699-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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