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Mathematical modelling of pulsed magnetic field action on neurons’ bioelectric activity

Author

Listed:
  • Marina Rezinkina

    (Center of Magnetism of Technical Objects of Ukrainian National Academy of Sciences)

  • Marko Markov

    (Research International)

Abstract

Hodgkin–Huxley model, describing generation of action potentials in axons’ membranes, has been used for appreciation of the possible mechanisms of electromagnetic fields influence on neurons’ electrical activity. It follows from the carried calculations that flowing through an axon of the external current pulses, which have an area of rise, an area of DC, and an area of drop, does not influence own excitation pulses passage if periods of rise and drop are slope enough. Depending on the external current parameters, own excitation pulses may not be influenced or may be suppressed at greater velocity of rise and drop of an external current. Moreover, induced excitation pulses appear at definite parameters of an external current. In the case, when at passage through an axon of an external current, own excitation pulses follow one by one (paired pulse facilitation), and the second pulse may be suppressed if its level will not be increased additionally in comparison with the case of an external current absence. It is possible that such increase happens “automatically” as a result of “tuning” (adaptation) of axons to the conditions of flowing through them of an external current. It may be an explanation of the phenomena observed in experiments.

Suggested Citation

  • Marina Rezinkina & Marko Markov, 2009. "Mathematical modelling of pulsed magnetic field action on neurons’ bioelectric activity," Environment Systems and Decisions, Springer, vol. 29(2), pages 147-152, June.
    • Handle: RePEc:spr:envsyd:v:29:y:2009:i:2:d:10.1007_s10669-008-9200-6
    DOI: 10.1007/s10669-008-9200-6
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    References listed on IDEAS

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    1. Marina Rezinkina & Eleonora Bydianskaya & Anatoliy Shcherba, 2007. "Alteration of brain electrical activity by electromagnetic field," Environment Systems and Decisions, Springer, vol. 27(4), pages 417-422, December.
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