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Redesigning existing transcranial magnetic stimulation coils to reduce energy: application to low field magnetic stimulation.

Publication ,  Journal Article
Wang, B; Shen, MR; Deng, Z-D; Smith, JE; Tharayil, JJ; Gurrey, CJ; Gomez, LJ; Peterchev, AV
Published in: J Neural Eng
June 2018

OBJECTIVE: To present a systematic framework and exemplar for the development of a compact and energy-efficient coil that replicates the electric field (E-field) distribution induced by an existing transcranial magnetic stimulation coil. APPROACH: The E-field generated by a conventional low field magnetic stimulation (LFMS) coil was measured for a spherical head model and simulated in both spherical and realistic head models. Then, using a spherical head model and spatial harmonic decomposition, a spherical-shaped cap coil was synthesized such that its windings conformed to a spherical surface and replicated the E-field on the cortical surface while requiring less energy. A prototype coil was built and electrically characterized. The effect of constraining the windings to the upper half of the head was also explored via an alternative coil design. MAIN RESULTS: The LFMS E-field distribution resembled that of a large double-cone coil, with a peak field strength around 350 mV m-1 in the cortex. The E-field distributions of the cap coil designs were validated against the original coil, with mean errors of 1%-3%. The cap coil required as little as 2% of the original coil energy and was significantly smaller in size. SIGNIFICANCE: The redesigned LFMS coil is substantially smaller and more energy-efficient than the original, improving cost, power consumption, and portability. These improvements could facilitate deployment of LFMS in the clinic and potentially at home. This coil redesign approach can also be applied to other magnetic stimulation paradigms. Finally, the anatomically-accurate E-field simulation of LFMS can be used to interpret clinical LFMS data.

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Published In

J Neural Eng

DOI

EISSN

1741-2552

Publication Date

June 2018

Volume

15

Issue

3

Start / End Page

036022

Location

England

Related Subject Headings

  • Transcranial Magnetic Stimulation
  • Models, Anatomic
  • Magnetic Fields
  • Humans
  • Head
  • Equipment Design
  • Brain
  • Biomedical Engineering
  • 4003 Biomedical engineering
  • 3209 Neurosciences
 

Citation

APA
Chicago
ICMJE
MLA
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Wang, B., Shen, M. R., Deng, Z.-D., Smith, J. E., Tharayil, J. J., Gurrey, C. J., … Peterchev, A. V. (2018). Redesigning existing transcranial magnetic stimulation coils to reduce energy: application to low field magnetic stimulation. J Neural Eng, 15(3), 036022. https://doi.org/10.1088/1741-2552/aaa505
Wang, Boshuo, Michael R. Shen, Zhi-De Deng, J Evan Smith, Joseph J. Tharayil, Clement J. Gurrey, Luis J. Gomez, and Angel V. Peterchev. “Redesigning existing transcranial magnetic stimulation coils to reduce energy: application to low field magnetic stimulation.J Neural Eng 15, no. 3 (June 2018): 036022. https://doi.org/10.1088/1741-2552/aaa505.
Wang B, Shen MR, Deng Z-D, Smith JE, Tharayil JJ, Gurrey CJ, et al. Redesigning existing transcranial magnetic stimulation coils to reduce energy: application to low field magnetic stimulation. J Neural Eng. 2018 Jun;15(3):036022.
Wang, Boshuo, et al. “Redesigning existing transcranial magnetic stimulation coils to reduce energy: application to low field magnetic stimulation.J Neural Eng, vol. 15, no. 3, June 2018, p. 036022. Pubmed, doi:10.1088/1741-2552/aaa505.
Wang B, Shen MR, Deng Z-D, Smith JE, Tharayil JJ, Gurrey CJ, Gomez LJ, Peterchev AV. Redesigning existing transcranial magnetic stimulation coils to reduce energy: application to low field magnetic stimulation. J Neural Eng. 2018 Jun;15(3):036022.
Journal cover image

Published In

J Neural Eng

DOI

EISSN

1741-2552

Publication Date

June 2018

Volume

15

Issue

3

Start / End Page

036022

Location

England

Related Subject Headings

  • Transcranial Magnetic Stimulation
  • Models, Anatomic
  • Magnetic Fields
  • Humans
  • Head
  • Equipment Design
  • Brain
  • Biomedical Engineering
  • 4003 Biomedical engineering
  • 3209 Neurosciences