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Time—Frequency Analysis of Brain Neurodynamics

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Advances in Applied Mathematics and Global Optimization

Part of the book series: Advances in Mechanics and Mathematics ((AMMA,volume 17))

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Summary

The characteristics of neurodynamics of intracranial electroencephalogram (EEG) at different frequency bands were investigated in a sample of two patients with epilepsy. The results indicate a tendency for the gamma, theta, and alpha frequency bands in EEG signals to have a higher dimensional complexity than the beta and gamma frequency bands. We also investigate the time–frequency component decomposition of EEG signals and observe very different perceptual complexity and a difference in evoked spectral responses, which could be a reflection of neuronal recruitment that triggers the epileptogenic process. The results of this study may provide insights to the brain network’s mechanism by which local and regional circuits can continuously form and reform with different regions functionally disconnected from other brain areas.

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Author information

Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA

    W. Art Chaovalitwongse

  2. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    W. Suharitdamrong

  3. Departments of Industrial and Systems Engineering, Computer Science, and Biomedical Engineering, University of Florida, Gainesville, FL, USA

    P.M. Pardalos

Authors
  1. W. Art Chaovalitwongse
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  2. W. Suharitdamrong
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  3. P.M. Pardalos
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Corresponding author

Correspondence to W. Art Chaovalitwongse .

Editor information

Editors and Affiliations

  1. Dept. Mathematics, Virginia Tech, McBryde Hall 524, Blacksburg, 24061, U.S.A.

    David Y. Gao

  2. State University, Dept. Industrial & Systems Engineering, Virginia Polytechnic Institute &, Whittemore Hall 547, Blacksburg, 24061, U.S.A.

    Hanif D. Sherali

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© 2009 Springer Science+Business Media, LLC

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Chaovalitwongse, W.A., Suharitdamrong, W., Pardalos, P. (2009). Time—Frequency Analysis of Brain Neurodynamics. In: Gao, D., Sherali, H. (eds) Advances in Applied Mathematics and Global Optimization. Advances in Mechanics and Mathematics, vol 17. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75714-8_4

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