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Dipole source localization of MEG by BP neural networks

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Summary

The purpose of this study was to examine the usefulness of BP neural networks for source localization of MEG. Since the performance of this method does not depend on the complexity of brain parameters and source models, a homogeneous brain model and a single current dipole source are assumed for convenience. Localization accuracy was examined in relation to the configuration and scale of the network. As a result, average error for position and moment estimations was within 2%, while the maximum error was about 5%. It was therefore concluded that the neural network method was useful for MEG source localization, though some improvements are still necessary.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, The University of Tokushima, Minami-Josajima, 770, Tokushima, Japan

    Yohsuke Kinouchi, Gen Ohara & Hirofumi Nagashino

  2. Department of Neurological Surgery, The University of Tokushima, Tokushima, Japan

    Tetsuro Soga, Fumio Shichijo & Keizo Matsumoto

Authors
  1. Yohsuke Kinouchi
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  2. Gen Ohara
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  3. Hirofumi Nagashino
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  4. Tetsuro Soga
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  5. Fumio Shichijo
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  6. Keizo Matsumoto
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Kinouchi, Y., Ohara, G., Nagashino, H. et al. Dipole source localization of MEG by BP neural networks. Brain Topogr 8, 317–321 (1996). https://doi.org/10.1007/BF01184791

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  • DOI: https://doi.org/10.1007/BF01184791

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