Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks.

Journal: Brain stimulation
Published Date: Jan 1, 2019

Abstract

BACKGROUND: Transcranial magnetic stimulation (TMS) plays an important role in treatment of mental and neurological illnesses, and neurosurgery. However, it is difficult to target specific brain regions accurately because the complex anatomy of the brain substantially affects the shape and strength of the electric fields induced by the TMS coil. A volume conductor model can be used for determining the accurate electric fields; however, the construction of subject-specific anatomical head structures is time-consuming.

Authors

  • Tatsuya Yokota
    Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan; Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Aichi, Japan. Electronic address: t.yokota@nitech.ac.jp.
  • Toyohiro Maki
    Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan.
  • Tatsuya Nagata
    Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan.
  • Takenobu Murakami
    Department of Neurology, Fukushima Medical University, Fukushima, Japan.
  • Yoshikazu Ugawa
    Department of Neuro-Regeneration, Fukushima Medical University, Fukushima, Japan.
  • Ilkka Laakso
    Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.
  • Akimasa Hirata
    Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, Japan.
  • Hidekata Hontani
    Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan; Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Aichi, Japan. Electronic address: hontani@nitech.ac.jp.

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