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

IF 4.7 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-02-01 Epub Date: 2025-01-01 DOI:10.1016/j.neuroimage.2024.120998

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

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引用次数: 0

Abstract

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.

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基于快速EEG/MEG bem的高分辨率头部模型前向问题求解。

针对现代高分辨率头部模型的脑磁图正演问题，提出了一种快速边界元法。该方法利用快速多极法（BEM- fmm）加速的基于电荷的边界元，并采用接近奇异偶极源的自适应网格预精化方法（称为b-精化）。不需要昂贵的矩阵填充或标准BEM典型的直接解决步骤；该方法在使用常规工作站进行初始模型组装后90秒内为高分辨率头部模型产生皮肤电压和MEG磁场。将正演方法与球壳模型的解析解和1M面真实人头模型的全h精化方法进行比较，验证了正演方法的正确性，两者的脑电皮肤电位和脑磁图磁场的一致性都在5%以内。将该方法进一步应用于真实人体数据的脑电信号源定位（逆）问题，得到了一个合理的源偶极子分布。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.