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  Fast and accurate EEG/MEG BEM-based forward problem solution for high-resolution head models

Wartman, W. A., Ponasso, G. C. N., Qi, Z., Haueisen, J., Maess, B., Knösche, T. R., et al. (2024). Fast and accurate EEG/MEG BEM-based forward problem solution for high-resolution head models. bioRxiv. doi:10.1101/2024.06.07.598024.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-6401-F Version Permalink: https://hdl.handle.net/21.11116/0000-000F-6402-E
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https://github.com/wiwartman/BEM-FMM-with-B-Refinement-for-EEG (Code)
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 Creators:
Wartman, William A., Author
Ponasso, Guillermo Carlo Nunez, Author
Qi, Zhen, Author
Haueisen, Jens, Author
Maess, Burkhard1, Author                 
Knösche, Thomas R.1, Author                 
Weise, Konstantin1, Author                 
Noetscher, Gregory, Author
Raij, Tommi, Author
Makaroff, Sergey N., Author
Affiliations:
1Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              

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 Abstract: A BEM (boundary element method) based approach is developed to accurately solve an EEG/MEG forward problem for a modern high-resolution head model in approximately 60 seconds using a common workstation. The method utilizes a charge-based BEM with fast multipole acceleration (BEM-FMM) and a "smart" mesh pre-refinement (called b-refinement) close to the singular 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 in approximately 60 seconds after initial model assembly. The method is verified both theoretically and experimentally.

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Language(s): eng - English
 Dates: 2024-06-08
 Publication Status: Published online
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 Identifiers: DOI: 10.1101/2024.06.07.598024
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Title: bioRxiv
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