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  • Open Access

Cable equation formalism for neuronal magnetic fields

BMC Neuroscience201415 (Suppl 1) :P215

https://doi.org/10.1186/1471-2202-15-S1-P215

  • Published:

Keywords

  • Magnetic Field
  • Electric Property
  • Pyramidal Cell
  • Strong Magnetic Field
  • Extracellular Medium

Neurons generate magnetic fields which can be recorded with macroscopic techniques such as magneto-encephalography. The theory that accounts for the genesis of neuronal magnetic fields involves macroscopic dipole structures in homogeneous resistive extracellular media. Here, we study this problem at the microscopic level using a variant of cable theory which accounts for the genesis of magnetic fields, in extracellular media with arbitrarily complex electric properties.

The cable formalism, initially introduced by Rall [1], has been recently generalized to include the influence of the extracellular medium [2]. We use here this generalized cable formalism to calculate the magnetic field generated by neurons. We show that the magnetic induction generally depends on the impedance of the extracellular and intracellular media. Therefore, like the electric field, the electric properties of these media can influence the magnetic field, contrary to what is usually assumed.

Next, we use this formalism to calculate the "magnetic signature" of different neuronal morphologies, such as pyramidal cells and basket cells. We show that the strongest magnetic fields correspond to media which are non-resistive, such as diffusive media, although they exert low-pass filtering properties. Recent measurements (see companion poster by Bedard et al.) suggest that the extracellular medium is best described by a diffusive impedance. We therefore predict that this will also affect neuronal magnetic fields.

In conclusion, we show here that the generalized cable formalism is an important tool to calculate the extracellular electric and magnetic fields generated by neurons. The nature of the medium influences both types of fields, and should be measurable by appropriate measurements. Given the fact that the nature of the medium influences the magnetic field, inverse methods should consider this important parameter.

Declarations

Acknowledgements

Supported by CNRS, ANR (Complex-V1) and the European Community (BrainScales, Magnetrodes, Human Brain Project)

Authors’ Affiliations

(1)
UNIC, CNRS, Gif sur Yvette, France

References

  1. Rall W: The Theoretical Foundation of Dendritic Function. Edited by: Segev I, Rinzel J, Shepherd GM. 1995, MIT Press, Cambridge MAGoogle Scholar
  2. Bedard C, Destexhe A: Generalized cable theory for neurons in complex and heterogeneous media. Physical Review E. 2013, 88: 022709-View ArticleGoogle Scholar

Copyright

© Destexhe et al; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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