Conditions for numerically accurate TMS electric field simulation

Background: Computational simulations of the E-field induced by transcranial magnetic stimulation (TMS) are increasingly used to understand its mechanisms and to inform its administration. However, characterization of the accuracy of the simulation methods and the factors that affect it is lacking....

Full description

Bibliographic Details
Main Authors: Luis J. Gomez, Moritz Dannhauer, Lari M. Koponen, Angel V. Peterchev
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Brain Stimulation
Subjects:
TMS
Online Access:http://www.sciencedirect.com/science/article/pii/S1935861X1930378X
id doaj-0e11f7189d3744a5b8f922f3efa08f36
record_format Article
spelling doaj-0e11f7189d3744a5b8f922f3efa08f362021-03-19T07:20:59ZengElsevierBrain Stimulation1935-861X2020-01-01131157166Conditions for numerically accurate TMS electric field simulationLuis J. Gomez0Moritz Dannhauer1Lari M. Koponen2Angel V. Peterchev3Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, 27710, USADepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, 27710, USADepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, 27710, USADepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, 27710, USA; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA; Department of Neurosurgery, Duke University, Durham, NC, 27710, USA; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA; Corresponding author. 40 Duke Medicine Circle, Box 3620 DUMC, Durham, NC, 27710, USA.Background: Computational simulations of the E-field induced by transcranial magnetic stimulation (TMS) are increasingly used to understand its mechanisms and to inform its administration. However, characterization of the accuracy of the simulation methods and the factors that affect it is lacking. Objective: To ensure the accuracy of TMS E-field simulations, we systematically quantify their numerical error and provide guidelines for their setup. Method: We benchmark the accuracy of computational approaches that are commonly used for TMS E-field simulations, including the finite element method (FEM) with and without superconvergent patch recovery (SPR), boundary element method (BEM), finite difference method (FDM), and coil modeling methods. Results: To achieve cortical E-field error levels below 2%, the commonly used FDM and 1st order FEM require meshes with an average edge length below 0.4 mm, 1st order SPR-FEM requires edge lengths below 0.8 mm, and BEM and 2nd (or higher) order FEM require edge lengths below 2.9 mm. Coil models employing magnetic and current dipoles require at least 200 and 3000 dipoles, respectively. For thick solid-conductor coils and frequencies above 3 kHz, winding eddy currents may have to be modeled. Conclusion: BEM, FDM, and FEM all converge to the same solution. Compared to the common FDM and 1st order FEM approaches, BEM and 2nd (or higher) order FEM require significantly lower mesh densities to achieve the same error level. In some cases, coil winding eddy-currents must be modeled. Both electric current dipole and magnetic dipole models of the coil current can be accurate with sufficiently fine discretization.http://www.sciencedirect.com/science/article/pii/S1935861X1930378XTranscranial magnetic stimulationTMSElectric field simulationFinite element methodBoundary element method
collection DOAJ
language English
format Article
sources DOAJ
author Luis J. Gomez
Moritz Dannhauer
Lari M. Koponen
Angel V. Peterchev
spellingShingle Luis J. Gomez
Moritz Dannhauer
Lari M. Koponen
Angel V. Peterchev
Conditions for numerically accurate TMS electric field simulation
Brain Stimulation
Transcranial magnetic stimulation
TMS
Electric field simulation
Finite element method
Boundary element method
author_facet Luis J. Gomez
Moritz Dannhauer
Lari M. Koponen
Angel V. Peterchev
author_sort Luis J. Gomez
title Conditions for numerically accurate TMS electric field simulation
title_short Conditions for numerically accurate TMS electric field simulation
title_full Conditions for numerically accurate TMS electric field simulation
title_fullStr Conditions for numerically accurate TMS electric field simulation
title_full_unstemmed Conditions for numerically accurate TMS electric field simulation
title_sort conditions for numerically accurate tms electric field simulation
publisher Elsevier
series Brain Stimulation
issn 1935-861X
publishDate 2020-01-01
description Background: Computational simulations of the E-field induced by transcranial magnetic stimulation (TMS) are increasingly used to understand its mechanisms and to inform its administration. However, characterization of the accuracy of the simulation methods and the factors that affect it is lacking. Objective: To ensure the accuracy of TMS E-field simulations, we systematically quantify their numerical error and provide guidelines for their setup. Method: We benchmark the accuracy of computational approaches that are commonly used for TMS E-field simulations, including the finite element method (FEM) with and without superconvergent patch recovery (SPR), boundary element method (BEM), finite difference method (FDM), and coil modeling methods. Results: To achieve cortical E-field error levels below 2%, the commonly used FDM and 1st order FEM require meshes with an average edge length below 0.4 mm, 1st order SPR-FEM requires edge lengths below 0.8 mm, and BEM and 2nd (or higher) order FEM require edge lengths below 2.9 mm. Coil models employing magnetic and current dipoles require at least 200 and 3000 dipoles, respectively. For thick solid-conductor coils and frequencies above 3 kHz, winding eddy currents may have to be modeled. Conclusion: BEM, FDM, and FEM all converge to the same solution. Compared to the common FDM and 1st order FEM approaches, BEM and 2nd (or higher) order FEM require significantly lower mesh densities to achieve the same error level. In some cases, coil winding eddy-currents must be modeled. Both electric current dipole and magnetic dipole models of the coil current can be accurate with sufficiently fine discretization.
topic Transcranial magnetic stimulation
TMS
Electric field simulation
Finite element method
Boundary element method
url http://www.sciencedirect.com/science/article/pii/S1935861X1930378X
work_keys_str_mv AT luisjgomez conditionsfornumericallyaccuratetmselectricfieldsimulation
AT moritzdannhauer conditionsfornumericallyaccuratetmselectricfieldsimulation
AT larimkoponen conditionsfornumericallyaccuratetmselectricfieldsimulation
AT angelvpeterchev conditionsfornumericallyaccuratetmselectricfieldsimulation
_version_ 1724213602830778368