Literature DB >> 19458407

3D modeling of the total electric field induced by transcranial magnetic stimulation using the boundary element method.

F S Salinas1, J L Lancaster, P T Fox.   

Abstract

Transcranial magnetic stimulation (TMS) delivers highly localized brain stimulations via non-invasive externally applied magnetic fields. This non-invasive, painless technique provides researchers and clinicians with a unique tool capable of stimulating both the central and peripheral nervous systems. However, a complete analysis of the macroscopic electric fields produced by TMS has not yet been performed. In this paper, we addressed the importance of the secondary E-field created by surface charge accumulation during TMS using the boundary element method (BEM). 3D models were developed using simple head geometries in order to test the model and compare it with measured values. The effects of tissue geometry, size and conductivity were also investigated. Finally, a realistically shaped head model was used to assess the effect of multiple surfaces on the total E-field. Secondary E-fields have the greatest impact at areas in close proximity to each tissue layer. Throughout the head, the secondary E-field magnitudes typically range from 20% to 35% of the primary E-field's magnitude. The direction of the secondary E-field was generally in opposition to the primary E-field; however, for some locations, this was not the case (i.e. going from high to low conductivity tissues). These findings show that realistically shaped head geometries are important for accurate modeling of the total E-field.

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Year:  2009        PMID: 19458407      PMCID: PMC5293006          DOI: 10.1088/0031-9155/54/12/002

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  35 in total

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Authors:  R J Ilmoniemi; J Ruohonen; J Karhu
Journal:  Crit Rev Biomed Eng       Date:  1999

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Review 3.  Advances in functional and structural MR image analysis and implementation as FSL.

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Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  The measurement of electric field, and the influence of surface charge, in magnetic stimulation.

Authors:  P S Tofts; N M Branston
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1991-06

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Authors:  M Stenroos; V Mäntynen; J Nenonen
Journal:  Comput Methods Programs Biomed       Date:  2007-12       Impact factor: 5.428

6.  A reconstruction of the conductive phenomena elicited by transcranial magnetic stimulation in heterogeneous brain tissue.

Authors:  Nicola Toschi; Tobias Welt; Maria Guerrisi; Martin E Keck
Journal:  Phys Med       Date:  2008-02-25       Impact factor: 2.685

7.  On bioelectric potentials in an inhomogeneous volume conductor.

Authors:  D B Geselowitz
Journal:  Biophys J       Date:  2008-12-31       Impact factor: 4.033

8.  The electric field induced in the brain by magnetic stimulation: a 3-D finite-element analysis of the effect of tissue heterogeneity and anisotropy.

Authors:  Pedro C Miranda; Mark Hallett; Peter J Basser
Journal:  IEEE Trans Biomed Eng       Date:  2003-09       Impact factor: 4.538

9.  Factors affecting the accuracy of the boundary element method in the forward problem--I: Calculating surface potentials.

Authors:  A S Ferguson; G Stroink
Journal:  IEEE Trans Biomed Eng       Date:  1997-11       Impact factor: 4.538

10.  EEG electrode sensitivity--an application of reciprocity.

Authors:  S Rush; D A Driscoll
Journal:  IEEE Trans Biomed Eng       Date:  1969-01       Impact factor: 4.538

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  28 in total

1.  Functional localization in the human brain: Gradient-Echo, Spin-Echo, and arterial spin-labeling fMRI compared with neuronavigated TMS.

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Journal:  Hum Brain Mapp       Date:  2011-03       Impact factor: 5.038

2.  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

3.  Where does transcranial magnetic stimulation (TMS) stimulate? Modelling of induced field maps for some common cortical and cerebellar targets.

Authors:  Janine D Bijsterbosch; Anthony T Barker; Kwang-Hyuk Lee; P W R Woodruff
Journal:  Med Biol Eng Comput       Date:  2012-06-08       Impact factor: 2.602

4.  Towards a healthy human model of neural disorders of movement.

Authors:  Howard Poizner; Jack Lancaster; Eugene Tunik; Shalini Narayana; Crystal Franklin; William Rogers; Xiaoyan Li; Peter T Fox; Donald A Robin
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-01-23       Impact factor: 3.802

5.  Lasting modulation of in vitro oscillatory activity with weak direct current stimulation.

Authors:  Davide Reato; Marom Bikson; Lucas C Parra
Journal:  J Neurophysiol       Date:  2014-12-10       Impact factor: 2.714

Review 6.  The development and modelling of devices and paradigms for transcranial magnetic stimulation.

Authors:  Stefan M Goetz; Zhi-De Deng
Journal:  Int Rev Psychiatry       Date:  2017-04-26

7.  The effect of local anatomy on the electric field induced by TMS: evaluation at 14 different target sites.

Authors:  Arno M Janssen; Thom F Oostendorp; Dick F Stegeman
Journal:  Med Biol Eng Comput       Date:  2014-08-28       Impact factor: 2.602

Review 8.  Rehabilitating the addicted brain with transcranial magnetic stimulation.

Authors:  Marco Diana; Tommi Raij; Miriam Melis; Aapo Nummenmaa; Lorenzo Leggio; Antonello Bonci
Journal:  Nat Rev Neurosci       Date:  2017-09-29       Impact factor: 34.870

9.  Functional neuroimaging of the baboon during concurrent image-guided transcranial magnetic stimulation.

Authors:  Felipe S Salinas; C Ákos Szabó; Wei Zhang; Lisa Jones; M Michelle Leland; Hsiao-Ying Wey; Timothy Q Duong; Peter T Fox; Shalini Narayana
Journal:  Neuroimage       Date:  2011-05-30       Impact factor: 6.556

10.  Magnetic resonance imaging of time-varying magnetic fields from therapeutic devices.

Authors:  Luis Hernandez-Garcia; Vivek Bhatia; Krishan Prem-Kumar; Magnus Ulfarsson
Journal:  NMR Biomed       Date:  2013-01-28       Impact factor: 4.044

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