Literature DB >> 26560868

Deep Transcranial Magnetic Stimulation: Modeling of Different Coil Configurations.

Vanessa Guadagnin, Marta Parazzini, Serena Fiocchi, Ilaria Liorni, Paolo Ravazzani.   

Abstract

OBJECTIVE: Deep transcranial magnetic stimulation (dTMS) has been recently used in several clinical studies as diagnostic and therapeutic tool. However, electric field (E) distributions induced in the brain by dTMS are still unknown. This paper provides a characterization of the induced E distributions in the brain of a realistic human model due to 16 different coil configurations.
METHODS: The scalar potential finite-element method was used to calculate the E distributions differentiating the brain structures, e.g., cortex, white matter, anterior cingulated cortex, cerebellum, thalamus, hypothalamus, nucleus accumbens, amygdale, and hippocampus.
RESULTS: Our results support that the double cone coils and the large diameter circular coils are more prone to activate deeper brain structures but are also characterized by a reduced focality on the surface of the cortex, with the consequent possible counter effect of stimulating regions not of interest. The Hesed coils, although their ability to reach deep brain tissues is lower, seem to be more able to reduce the effect on other brain regions where the stimulation is undesired.
CONCLUSION: All the coil configurations resulted subjected to a depth-focality tradeoff. SIGNIFICANCE: Since there is not a configuration that is capable of achieving a stimulation both deep and focal, the selection of the most suitable coil settings for a specific clinical application should be based on a balanced evaluation between these two different needs.

Entities:  

Mesh:

Year:  2015        PMID: 26560868     DOI: 10.1109/TBME.2015.2498646

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  13 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.  Adopting reciprocity theorem in deep transcranial magnetic stimulation problem to design an efficient single source coil array based on nerve cell direction.

Authors:  Ali Mohtadi Jafari; Ali Abdolali
Journal:  Med Biol Eng Comput       Date:  2017-06-29       Impact factor: 2.602

3.  Magnetic brain stimulation using iron oxide nanoparticle-mediated selective treatment of the left prelimbic cortex as a novel strategy to rapidly improve depressive-like symptoms in mice.

Authors:  Qing-Bo Lu; Jian-Fei Sun; Qu-Yang Yang; Wen-Wen Cai; Meng-Qin Xia; Fang-Fang Wu; Ning Gu; Zhi-Jun Zhang
Journal:  Zool Res       Date:  2020-07-18

Review 4.  Personalizing neuromodulation.

Authors:  John D Medaglia; Brian Erickson; Jared Zimmerman; Apoorva Kelkar
Journal:  Int J Psychophysiol       Date:  2019-01-24       Impact factor: 2.997

5.  Comprehensive Survey on Improved Focality and Penetration Depth of Transcranial Magnetic Stimulation Employing Multi-Coil Arrays.

Authors:  Xile Wei; Yao Li; Meili Lu; Jiang Wang; Guosheng Yi
Journal:  Int J Environ Res Public Health       Date:  2017-11-14       Impact factor: 3.390

6.  How to Use the H1 Deep Transcranial Magnetic Stimulation Coil for Conditions Other than Depression.

Authors:  Aron Tendler; Yiftach Roth; Noam Barnea-Ygael; Abraham Zangen
Journal:  J Vis Exp       Date:  2017-01-23       Impact factor: 1.355

7.  Field Distribution of Transcranial Static Magnetic Stimulation in Realistic Human Head Model.

Authors:  Joseph J Tharayil; Stefan M Goetz; John M Bernabei; Angel V Peterchev
Journal:  Neuromodulation       Date:  2017-10-10

Review 8.  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

9.  Modelling of the Electric Field Distribution in Deep Transcranial Magnetic Stimulation in the Adolescence, in the Adulthood, and in the Old Age.

Authors:  Serena Fiocchi; Michela Longhi; Paolo Ravazzani; Yiftach Roth; Abraham Zangen; Marta Parazzini
Journal:  Comput Math Methods Med       Date:  2016-03-16       Impact factor: 2.238

10.  Deep Transcranial Magnetic Stimulation: Improved Coil Design and Assessment of the Induced Fields Using MIDA Model.

Authors:  Amine M Samoudi; Emmeric Tanghe; Luc Martens; Wout Joseph
Journal:  Biomed Res Int       Date:  2018-06-05       Impact factor: 3.411

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