Literature DB >> 29300001

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

Boshuo Wang1, Michael R Shen, Zhi-De Deng, J Evan Smith, Joseph J Tharayil, Clement J Gurrey, Luis J Gomez, Angel V Peterchev.   

Abstract

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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Mesh:

Year:  2018        PMID: 29300001      PMCID: PMC5929994          DOI: 10.1088/1741-2552/aaa505

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  19 in total

1.  Impact of the gyral geometry on the electric field induced by transcranial magnetic stimulation.

Authors:  Axel Thielscher; Alexander Opitz; Mirko Windhoff
Journal:  Neuroimage       Date:  2010-08-01       Impact factor: 6.556

2.  Analysis of the quasi-static approximation for calculating potentials generated by neural stimulation.

Authors:  Chad A Bossetti; Merrill J Birdno; Warren M Grill
Journal:  J Neural Eng       Date:  2007-12-17       Impact factor: 5.379

3.  Transcranial direct current stimulation: estimation of the electric field and of the current density in an anatomical human head model.

Authors:  Marta Parazzini; Serena Fiocchi; Elena Rossi; Alessia Paglialonga; Paolo Ravazzani
Journal:  IEEE Trans Biomed Eng       Date:  2011-02-17       Impact factor: 4.538

4.  How the brain tissue shapes the electric field induced by transcranial magnetic stimulation.

Authors:  Alexander Opitz; Mirko Windhoff; Robin M Heidemann; Robert Turner; Axel Thielscher
Journal:  Neuroimage       Date:  2011-07-01       Impact factor: 6.556

5.  Minimum-energy coils for transcranial magnetic stimulation: application to focal stimulation.

Authors:  Lari M Koponen; Jaakko O Nieminen; Risto J Ilmoniemi
Journal:  Brain Stimul       Date:  2014-10-13       Impact factor: 8.955

6.  Electric field estimation of deep transcranial magnetic stimulation clinically used for the treatment of neuropsychiatric disorders in anatomical head models.

Authors:  Marta Parazzini; Serena Fiocchi; Emma Chiaramello; Yiftach Roth; Abraham Zangen; Paolo Ravazzani
Journal:  Med Eng Phys       Date:  2017-02-21       Impact factor: 2.242

7.  Coil optimisation for transcranial magnetic stimulation in realistic head geometry.

Authors:  Lari M Koponen; Jaakko O Nieminen; Tuomas P Mutanen; Matti Stenroos; Risto J Ilmoniemi
Journal:  Brain Stimul       Date:  2017-04-15       Impact factor: 8.955

8.  Considerations of quasi-stationarity in electrophysiological systems.

Authors:  R Plonsey; D B Heppner
Journal:  Bull Math Biophys       Date:  1967-12

9.  Electric field depth-focality tradeoff in transcranial magnetic stimulation: simulation comparison of 50 coil designs.

Authors:  Zhi-De Deng; Sarah H Lisanby; Angel V Peterchev
Journal:  Brain Stimul       Date:  2012-03-21       Impact factor: 8.955

10.  Adding low-field magnetic stimulation to noninvasive electromagnetic neuromodulatory therapies.

Authors:  Mouhsin Shafi; Adam Philip Stern; Alvaro Pascual-Leone
Journal:  Biol Psychiatry       Date:  2014-08-01       Impact factor: 13.382

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  7 in total

1.  Design of transcranial magnetic stimulation coils with optimal trade-off between depth, focality, and energy.

Authors:  Luis J Gomez; Stefan M Goetz; Angel V Peterchev
Journal:  J Neural Eng       Date:  2018-06-01       Impact factor: 5.379

2.  Conditions for numerically accurate TMS electric field simulation.

Authors:  Luis J Gomez; Moritz Dannhauer; Lari M Koponen; Angel V Peterchev
Journal:  Brain Stimul       Date:  2019-10-03       Impact factor: 8.955

Review 3.  Device-Based Modulation of Neurocircuits as a Therapeutic for Psychiatric Disorders.

Authors:  Zhi-De Deng; Bruce Luber; Nicholas L Balderston; Melbaliz Velez Afanador; Michelle M Noh; Jeena Thomas; William C Altekruse; Shannon L Exley; Shriya Awasthi; Sarah H Lisanby
Journal:  Annu Rev Pharmacol Toxicol       Date:  2020-01-06       Impact factor: 13.820

4.  A double-blind pilot dosing study of low field magnetic stimulation (LFMS) for treatment-resistant depression (TRD).

Authors:  Marc J Dubin; Irena P Ilieva; Zhi-De Deng; Jeena Thomas; Ashly Cochran; Kamilla Kravets; Benjamin D Brody; Paul J Christos; James H Kocsis; Conor Liston; Faith M Gunning
Journal:  J Affect Disord       Date:  2019-02-14       Impact factor: 4.839

5.  Electric field measurement of two commercial active/sham coils for transcranial magnetic stimulation.

Authors:  J Evan Smith; Angel V Peterchev
Journal:  J Neural Eng       Date:  2018-06-22       Impact factor: 5.379

6.  A Quasi-Static Boundary Element Approach With Fast Multipole Acceleration for High-Resolution Bioelectromagnetic Models.

Authors:  Sergey N Makarov; Gregory M Noetscher; Tommi Raij; Aapo Nummenmaa
Journal:  IEEE Trans Biomed Eng       Date:  2018-03-07       Impact factor: 4.538

Review 7.  Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert Guidelines.

Authors:  Simone Rossi; Andrea Antal; Sven Bestmann; Marom Bikson; Carmen Brewer; Jürgen Brockmöller; Linda L Carpenter; Massimo Cincotta; Robert Chen; Jeff D Daskalakis; Vincenzo Di Lazzaro; Michael D Fox; Mark S George; Donald Gilbert; Vasilios K Kimiskidis; Giacomo Koch; Risto J Ilmoniemi; Jean Pascal Lefaucheur; Letizia Leocani; Sarah H Lisanby; Carlo Miniussi; Frank Padberg; Alvaro Pascual-Leone; Walter Paulus; Angel V Peterchev; Angelo Quartarone; Alexander Rotenberg; John Rothwell; Paolo M Rossini; Emiliano Santarnecchi; Mouhsin M Shafi; Hartwig R Siebner; Yoshikatzu Ugawa; Eric M Wassermann; Abraham Zangen; Ulf Ziemann; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2020-10-24       Impact factor: 4.861

  7 in total

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