Boundary element fast multipole method for modeling electrical brain stimulation with voltage and current electrodes
© 2021 IOP Publishing Ltd..
Objective. To formulate, validate, and apply an alternative to the finite element method (FEM) high-resolution modeling technique for electrical brain stimulation-the boundary element fast multipole method (BEM-FMM). To include practical electrode models for both surface and embedded electrodes.Approach. Integral equations of the boundary element method in terms of surface charge density are combined with a general-purpose fast multipole method and are expanded for voltage, shunt, current, and floating electrodes. The solution of coupled and properly weighted/preconditioned integral equations is accompanied by enforcing global conservation laws: charge conservation law and Kirchhoff's current law.Main results.A sub-percent accuracy is reported as compared to the analytical solutions and simple validation geometries. Comparison to FEM considering realistic head models resulted in relative differences of the electric field magnitude in the range of 3%-6% or less. Quantities that contain higher order spatial derivatives, such as the activating function, are determined with a higher accuracy and a faster speed as compared to the FEM. The method can be easily combined with existing head modeling pipelines such as headreco or mri2mesh.Significance.The BEM-FMM does not rely on a volumetric mesh and is therefore particularly suitable for modeling some mesoscale problems with submillimeter (and possibly finer) resolution with high accuracy at moderate computational cost. Utilizing Helmholtz reciprocity principle makes it possible to expand the method to a solution of EEG forward problems with a very large number of cortical dipoles.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:18 |
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| Enthalten in: |
Journal of neural engineering - 18(2021), 4 vom: 19. Aug. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Makarov, Sergey N [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 15.09.2021 Date Revised 20.08.2022 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1088/1741-2552/ac17d7 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM328562335 |
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| 100 | 1 | |a Makarov, Sergey N |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Boundary element fast multipole method for modeling electrical brain stimulation with voltage and current electrodes |
| 264 | 1 | |c 2021 | |
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| 500 | |a Date Revised 20.08.2022 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021 IOP Publishing Ltd. | ||
| 520 | |a Objective. To formulate, validate, and apply an alternative to the finite element method (FEM) high-resolution modeling technique for electrical brain stimulation-the boundary element fast multipole method (BEM-FMM). To include practical electrode models for both surface and embedded electrodes.Approach. Integral equations of the boundary element method in terms of surface charge density are combined with a general-purpose fast multipole method and are expanded for voltage, shunt, current, and floating electrodes. The solution of coupled and properly weighted/preconditioned integral equations is accompanied by enforcing global conservation laws: charge conservation law and Kirchhoff's current law.Main results.A sub-percent accuracy is reported as compared to the analytical solutions and simple validation geometries. Comparison to FEM considering realistic head models resulted in relative differences of the electric field magnitude in the range of 3%-6% or less. Quantities that contain higher order spatial derivatives, such as the activating function, are determined with a higher accuracy and a faster speed as compared to the FEM. The method can be easily combined with existing head modeling pipelines such as headreco or mri2mesh.Significance.The BEM-FMM does not rely on a volumetric mesh and is therefore particularly suitable for modeling some mesoscale problems with submillimeter (and possibly finer) resolution with high accuracy at moderate computational cost. Utilizing Helmholtz reciprocity principle makes it possible to expand the method to a solution of EEG forward problems with a very large number of cortical dipoles | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a boundary element method | |
| 650 | 4 | |a deep brain stimulation | |
| 650 | 4 | |a electroencephalography | |
| 650 | 4 | |a fast multipole method | |
| 650 | 4 | |a intracortical microstimulation | |
| 650 | 4 | |a numerical modeling | |
| 650 | 4 | |a transcranial electrical stimulation | |
| 700 | 1 | |a Golestanirad, Laleh |e verfasserin |4 aut | |
| 700 | 1 | |a Wartman, William A |e verfasserin |4 aut | |
| 700 | 1 | |a Nguyen, Bach Thanh |e verfasserin |4 aut | |
| 700 | 1 | |a Noetscher, Gregory M |e verfasserin |4 aut | |
| 700 | 1 | |a Ahveninen, Jyrki P |e verfasserin |4 aut | |
| 700 | 1 | |a Fujimoto, Kyoko |e verfasserin |4 aut | |
| 700 | 1 | |a Weise, Konstantin |e verfasserin |4 aut | |
| 700 | 1 | |a Nummenmaa, Aapo R |e verfasserin |4 aut | |
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| 773 | 1 | 8 | |g volume:18 |g year:2021 |g number:4 |g day:19 |g month:08 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1088/1741-2552/ac17d7 |3 Volltext |
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