Literature DB >> 15203072

Electric field properties of two commercial figure-8 coils in TMS: calculation of focality and efficiency.

Axel Thielscher1, Thomas Kammer.   

Abstract

OBJECTIVE: To compare two commonly used TMS coils, namely the Medtronic MC-B70 double coil and the Magstim 70 mm double coil, with respect to their electric field distributions induced on the cortex.
METHODS: Electric field properties are calculated on a hemisphere representing the cortex using a spherical head model. The coil designs are characterised using several parameters, such as focality, efficiency and stimulation depth.
RESULTS: Medtronic and Magstim coils exhibit similar focality values and stimulation depths, despite very different coil designs. However, the Medtronic coil is about 1.2 times more efficient compared to the Magstim coil. This difference corresponds to different motor and visual phosphene thresholds obtained in previous physiological studies, thereby validating the chosen coil modelling approach. Focality of the Medtronic coil changed less with varying coil-cortex distance compared to the Magstim coil, whereas both coils exhibited similar dependencies on changes in cortex radius.
CONCLUSIONS: The similar values for focality and stimulation depth indicate that both coil types should evoke similar physiological effects when adjusting for the different efficiencies. The different physiological thresholds of the two coils can be traced back to differences in coil design. Ideally, focality should depend neither on coil-cortex distance nor on cortex radius in order to allow for an inter-subject comparability. In particular, in motor mapping experiments the size of the resulting maps is affected by these two parameters. Consequently, they are at least partially the cause of the variability across subjects seen in these experiments.

Entities:  

Mesh:

Year:  2004        PMID: 15203072     DOI: 10.1016/j.clinph.2004.02.019

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  55 in total

1.  Electric field calculations in brain stimulation based on finite elements: an optimized processing pipeline for the generation and usage of accurate individual head models.

Authors:  Mirko Windhoff; Alexander Opitz; Axel Thielscher
Journal:  Hum Brain Mapp       Date:  2011-11-23       Impact factor: 5.038

2.  Determining which mechanisms lead to activation in the motor cortex: a modeling study of transcranial magnetic stimulation using realistic stimulus waveforms and sulcal geometry.

Authors:  R Salvador; S Silva; P J Basser; P C Miranda
Journal:  Clin Neurophysiol       Date:  2010-10-28       Impact factor: 3.708

3.  Transcranial magnetic stimulation and the challenge of coil placement: a comparison of conventional and stereotaxic neuronavigational strategies.

Authors:  Roland Sparing; Dorothee Buelte; Ingo G Meister; Tomás Paus; Gereon R Fink
Journal:  Hum Brain Mapp       Date:  2008-01       Impact factor: 5.038

4.  Neural substrates of low-frequency repetitive transcranial magnetic stimulation during movement in healthy subjects and acute stroke patients. A PET study.

Authors:  Fabrice Conchou; Isabelle Loubinoux; Evelyne Castel-Lacanal; Anne Le Tinnier; Angélique Gerdelat-Mas; Nathalie Faure-Marie; Helene Gros; Claire Thalamas; Fabienne Calvas; Isabelle Berry; François Chollet; Marion Simonetta Moreau
Journal:  Hum Brain Mapp       Date:  2009-08       Impact factor: 5.038

5.  Cerebellar contributions to verbal working memory.

Authors:  Simon P Tomlinson; Nick J Davis; Helen M Morgan; R Martyn Bracewell
Journal:  Cerebellum       Date:  2014-06       Impact factor: 3.847

6.  Simulation of transcranial magnetic stimulation in head model with morphologically-realistic cortical neurons.

Authors:  Aman S Aberra; Boshuo Wang; Warren M Grill; Angel V Peterchev
Journal:  Brain Stimul       Date:  2019-10-07       Impact factor: 8.955

7.  Comparative modeling of transcranial magnetic and electric stimulation in mouse, monkey, and human.

Authors:  Ivan Alekseichuk; Kathleen Mantell; Sina Shirinpour; Alexander Opitz
Journal:  Neuroimage       Date:  2019-03-22       Impact factor: 6.556

8.  Biophysical determinants of transcranial magnetic stimulation: effects of excitability and depth of targeted area.

Authors:  Mark G Stokes; Anthony T Barker; Martynas Dervinis; Frederick Verbruggen; Leah Maizey; Rachel C Adams; Christopher D Chambers
Journal:  J Neurophysiol       Date:  2012-10-31       Impact factor: 2.714

Review 9.  Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research.

Authors:  Simone Rossi; Mark Hallett; Paolo M Rossini; Alvaro Pascual-Leone
Journal:  Clin Neurophysiol       Date:  2009-10-14       Impact factor: 3.708

10.  Effect of transcranial magnetic stimulation (TMS) on parietal and premotor cortex during planning of reaching movements.

Authors:  Pierpaolo Busan; Claudia Barbera; Mauro Semenic; Fabrizio Monti; Gilberto Pizzolato; Giovanna Pelamatti; Piero Paolo Battaglini
Journal:  PLoS One       Date:  2009-02-27       Impact factor: 3.240

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