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The modeling of rat EEG signals in absence epilepsy in the analysis of brain connectivity

  • Complex Systems Biophysics
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Abstract

Simple models that describe some features of the electrical brain activity in rats with genetic absence epilepsy recorded before and after an epileptic seizure have been proposed in this study. These models can help to analyze the efficiency of the Granger causality analysis of the directional connectivity determination. The comparison of the results of the experimental and modeled signal analysis, on one hand, reveals a number of artifacts of this method, and on the other hand, proves its effectiveness in the research on absence epilepsy mechanisms.

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Authors and Affiliations

  1. Gagarin Saratov State Technical University, ul. Politekhnicheskaya 77, Saratov, 410054, Russia

    M. V. Sysoeva

  2. Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, ul. Butlerova 5a, Moscow, 117485, Russia

    G. D. Kuznetsova

  3. Chernyshevsky Saratov State University, ul. Astrakhanskaya 83, Saratov, 410012, Russia

    I. V. Sysoev

Authors
  1. M. V. Sysoeva
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  2. G. D. Kuznetsova
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  3. I. V. Sysoev
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Correspondence to M. V. Sysoeva.

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Original Russian Text © M.V. Sysoeva, G.D. Kuznetsova, I.V. Sysoev, 2016, published in Biofizika, 2016, Vol. 61, No. 4, pp. 782–791.

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Sysoeva, M.V., Kuznetsova, G.D. & Sysoev, I.V. The modeling of rat EEG signals in absence epilepsy in the analysis of brain connectivity. BIOPHYSICS 61, 661–669 (2016). https://doi.org/10.1134/S0006350916040230

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  • DOI: https://doi.org/10.1134/S0006350916040230

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