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Influence of Physical Models of Electrodes on Rat’s Head Forward Modelling

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XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 (MEDICON 2019)

Abstract

Reliable inverse imaging of source currents in rat’s brain requires accurate models of fields and interfaces. Accuracy of field models can be influenced by a proper representation of electrodes used for sensing potentials. In the paper, we study the effect of realistic modelling of electrodes on the distribution of electric field intensity in the head. Fields are evaluated for three commonly used configurations of electrodes using a three-dimensional finite element model of rat’s head comprising the brain, the cerebrospinal fluid, and the skull. Simulations show a lower amplitude of electric field intensity if realistic models of electrodes are considered. Moreover, electric field intensity near electrode models is shown to be slightly influenced. Therefore, realistic modelling of electrodes can improve the accuracy of an inverse imaging, and consequently make the localization of current sources in rat’s brain more accurate.

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References

  1. He, B.: Neural Engineering, 1st edn. Kluwer Academic/Plenum, New York (2005). ISBN: 978-0-306-48609-8

    Google Scholar 

  2. Hallez, H., Vanrumste, B., Grech, R., et al.: Review of solving the forward problem in EEG source analysis. J. NeuroEng. Rehabil. 4(1) (2007). https://doi.org/10.1186/1743-0003-4-46

  3. Nunez, P.L., Srinivasan, R.: Electric Fields of the Brain: the Neurophysics of EEG, 2nd ed. Oxford University Press, New York (2006). ISBN 9780195050387

    Chapter  Google Scholar 

  4. Jain, S., Mittra, R., Wiart, J.: Full-wave modeling of brain waves as electromagnetic waves. Progr. Electromagn. Res. 151, 95–107 (2015). https://doi.org/10.2528/PIER15011404

    Article  Google Scholar 

  5. Kuratko, D., Raida, Z., Cupal, M., et al.: Electromagnetic modelling of rat’s brain: comparison of models and solvers. In: Proceedings of International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi 2018). Stellenbosch (South Africa) (2018)

    Google Scholar 

  6. CST Studio Suite (2018). https://www.cst.com/. Accessed 12 Nov 2018

  7. Dielectric Properties of Body Tissues. http://niremf.ifac.cnr.it/tissprop. Accessed 25 Mar 2019

  8. Páleníček, T., Fujáková, M., Brunovský, M., et al.: Electroencephalographic spectral and coherence analysis of ketamine in rats: correlation with behavioural effects and pharmacokinetics. Neuropsychobiology 63(4) (2011). https://doi.org/10.1159/000321803

    Article  Google Scholar 

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Correspondence to David Kuratko .

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Kuratko, D., Lacik, J., Raida, Z., Wójcik, D.K., Koudelka, V. (2020). Influence of Physical Models of Electrodes on Rat’s Head Forward Modelling. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_26

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  • DOI: https://doi.org/10.1007/978-3-030-31635-8_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31634-1

  • Online ISBN: 978-3-030-31635-8

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