Fast EEG/MEG BEM-based forward problem solution for high-resolution head models
A fast BEM (boundary element method) based approach is developed to solve an EEG/MEG forward problem for a modern high-resolution head model. The method utilizes a charge-based BEM accelerated by the fast multipole method (BEM-FMM) with an adaptive mesh pre-refinement method (called b-refinement) cl...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811924004956 |
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| author | William A. Wartman Guillermo Nuñez Ponasso Zhen Qi Jens Haueisen Burkhard Maess Thomas R. Knösche Konstantin Weise Gregory M. Noetscher Tommi Raij Sergey N. Makaroff |
| author_facet | William A. Wartman Guillermo Nuñez Ponasso Zhen Qi Jens Haueisen Burkhard Maess Thomas R. Knösche Konstantin Weise Gregory M. Noetscher Tommi Raij Sergey N. Makaroff |
| author_sort | William A. Wartman |
| collection | DOAJ |
| description | A fast BEM (boundary element method) based approach is developed to solve an EEG/MEG forward problem for a modern high-resolution head model. The method utilizes a charge-based BEM accelerated by the fast multipole method (BEM-FMM) with an adaptive mesh pre-refinement method (called b-refinement) close to the singular dipole source(s). No costly matrix-filling or direct solution steps typical for the standard BEM are required; the method generates on-skin voltages as well as MEG magnetic fields for high-resolution head models within 90 s after initial model assembly using a regular workstation. The forward method is validated by comparison against an analytical solution on a spherical shell model as well as comparison against a full h-refinement method on realistic 1M facet human head models, both of which yield agreement to within 5 % for the EEG skin potential and MEG magnetic fields. The method is further applied to an EEG source localization (inverse) problem for real human data, and a reasonable source dipole distribution is found. |
| format | Article |
| id | doaj-art-bb4349c665f74ac88c5251435b4cfefa |
| institution | Kabale University |
| issn | 1095-9572 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj-art-bb4349c665f74ac88c5251435b4cfefa2025-01-23T05:26:20ZengElsevierNeuroImage1095-95722025-02-01306120998Fast EEG/MEG BEM-based forward problem solution for high-resolution head modelsWilliam A. Wartman0Guillermo Nuñez Ponasso1Zhen Qi2Jens Haueisen3Burkhard Maess4Thomas R. Knösche5Konstantin Weise6Gregory M. Noetscher7Tommi Raij8Sergey N. Makaroff9Dept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA; Corresponding author.Dept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USADept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USATechnische Universität Ilmenau, Institute of Biomedical Engineering and Informatics, Ilmenau, GermanyMethods and Development Group ‘Brain Networks’, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, GermanyMethods and Development Group ‘Brain Networks’, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, GermanyMethods and Development Group ‘Brain Networks’, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Leipzig University of Applied Sciences (HTWK), Institute for Electrical Power Engineering, Leipzig, GermanyDept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USAAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USADept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USAA fast BEM (boundary element method) based approach is developed to solve an EEG/MEG forward problem for a modern high-resolution head model. The method utilizes a charge-based BEM accelerated by the fast multipole method (BEM-FMM) with an adaptive mesh pre-refinement method (called b-refinement) close to the singular dipole source(s). No costly matrix-filling or direct solution steps typical for the standard BEM are required; the method generates on-skin voltages as well as MEG magnetic fields for high-resolution head models within 90 s after initial model assembly using a regular workstation. The forward method is validated by comparison against an analytical solution on a spherical shell model as well as comparison against a full h-refinement method on realistic 1M facet human head models, both of which yield agreement to within 5 % for the EEG skin potential and MEG magnetic fields. The method is further applied to an EEG source localization (inverse) problem for real human data, and a reasonable source dipole distribution is found.http://www.sciencedirect.com/science/article/pii/S1053811924004956Electroencephalography (EEG)Magnetoencephalography (MEG)Forward problemInverse problemAdaptive mesh refinement (AMR)Boundary Element Fast Multipole Method (BEM-FMM) |
| spellingShingle | William A. Wartman Guillermo Nuñez Ponasso Zhen Qi Jens Haueisen Burkhard Maess Thomas R. Knösche Konstantin Weise Gregory M. Noetscher Tommi Raij Sergey N. Makaroff Fast EEG/MEG BEM-based forward problem solution for high-resolution head models NeuroImage Electroencephalography (EEG) Magnetoencephalography (MEG) Forward problem Inverse problem Adaptive mesh refinement (AMR) Boundary Element Fast Multipole Method (BEM-FMM) |
| title | Fast EEG/MEG BEM-based forward problem solution for high-resolution head models |
| title_full | Fast EEG/MEG BEM-based forward problem solution for high-resolution head models |
| title_fullStr | Fast EEG/MEG BEM-based forward problem solution for high-resolution head models |
| title_full_unstemmed | Fast EEG/MEG BEM-based forward problem solution for high-resolution head models |
| title_short | Fast EEG/MEG BEM-based forward problem solution for high-resolution head models |
| title_sort | fast eeg meg bem based forward problem solution for high resolution head models |
| topic | Electroencephalography (EEG) Magnetoencephalography (MEG) Forward problem Inverse problem Adaptive mesh refinement (AMR) Boundary Element Fast Multipole Method (BEM-FMM) |
| url | http://www.sciencedirect.com/science/article/pii/S1053811924004956 |
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