• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于快速脑电图/脑磁图边界元素法的高分辨率头部模型正向问题求解

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

作者信息

Wartman William A, Ponasso Guillermo Nuñez, Qi Zhen, Haueisen Jens, Maess Burkhard, Knösche Thomas R, Weise Konstantin, Noetscher Gregory M, Raij Tommi, Makaroff Sergey N

机构信息

Dept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.

Dept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.

出版信息

Neuroimage. 2025 Feb 1;306:120998. doi: 10.1016/j.neuroimage.2024.120998. Epub 2025 Jan 1.

DOI:10.1016/j.neuroimage.2024.120998
PMID:39753164
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11941539/
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.

摘要

开发了一种基于快速边界元法（BEM）的方法，用于求解现代高分辨率头部模型的脑电/脑磁正向问题。该方法采用基于电荷的BEM，并通过快速多极子方法（BEM-FMM）进行加速，同时在靠近奇异偶极子源的位置采用自适应网格预细化方法（称为b细化）。该方法无需像标准BEM那样进行昂贵的矩阵填充或直接求解步骤；使用常规工作站，在初始模型组装后的90秒内，该方法就能为高分辨率头部模型生成头皮电压和脑磁磁场。通过与球壳模型上的解析解进行比较，以及与真实的1M面片人头模型上的完全h细化方法进行比较，对正向方法进行了验证，结果表明，对于脑电皮肤电位和脑磁磁场，两者的一致性均在5%以内。该方法进一步应用于真实人体数据的脑电源定位（逆）问题，并找到了合理的源偶极子分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/e35ce3842363/nihms-2051060-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/0cc77e21f83b/nihms-2051060-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/b933c25c1e3d/nihms-2051060-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/5294c984bebc/nihms-2051060-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/2fe3e634f7fc/nihms-2051060-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/8bb980a85e6c/nihms-2051060-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/a7ecdc8ea149/nihms-2051060-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/6063a971d512/nihms-2051060-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/d16186e0b4f0/nihms-2051060-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/e35ce3842363/nihms-2051060-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/0cc77e21f83b/nihms-2051060-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/b933c25c1e3d/nihms-2051060-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/5294c984bebc/nihms-2051060-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/2fe3e634f7fc/nihms-2051060-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/8bb980a85e6c/nihms-2051060-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/a7ecdc8ea149/nihms-2051060-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/6063a971d512/nihms-2051060-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/d16186e0b4f0/nihms-2051060-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c739/11941539/e35ce3842363/nihms-2051060-f0009.jpg

相似文献

1
Fast EEG/MEG BEM-based forward problem solution for high-resolution head models.基于快速脑电图/脑磁图边界元素法的高分辨率头部模型正向问题求解
Neuroimage. 2025 Feb 1;306:120998. doi: 10.1016/j.neuroimage.2024.120998. Epub 2025 Jan 1.
2
Fast and Accurate EEG/MEG BEM-Based Forward Problem Solution for High-Resolution Head Models.基于边界元素法的快速准确的脑电图/脑磁图前向问题解决方案，用于高分辨率头部模型
bioRxiv. 2024 Jun 8:2024.06.07.598024. doi: 10.1101/2024.06.07.598024.
3
An adaptive h-refinement method for the boundary element fast multipole method for quasi-static electromagnetic modeling.自适应 h 细化方法在准静态电磁建模边界元快速多极方法中的应用。
Phys Med Biol. 2024 Feb 28;69(5):055030. doi: 10.1088/1361-6560/ad2638.
4
Improving EEG Forward Modeling Using High-Resolution Five-Layer BEM-FMM Head Models: Effect on Source Reconstruction Accuracy.使用高分辨率五层边界元法-快速多极子法头部模型改进脑电图正向建模：对源重建准确性的影响。
Bioengineering (Basel). 2024 Oct 26;11(11):1071. doi: 10.3390/bioengineering11111071.
5
Symmetric BEM formulation for the M/EEG forward problem.用于脑磁图/脑电图正向问题的对称边界元法公式
Inf Process Med Imaging. 2003 Jul;18:524-35. doi: 10.1007/978-3-540-45087-0_44.
6
EEG and MEG: forward solutions for inverse methods.脑电图和脑磁图：逆方法的正解
IEEE Trans Biomed Eng. 1999 Mar;46(3):245-59. doi: 10.1109/10.748978.
7
Bioelectromagnetic forward problem: isolated source approach revis(it)ed.生物电磁正问题：孤立源方法的修订。
Phys Med Biol. 2012 Jun 7;57(11):3517-35. doi: 10.1088/0031-9155/57/11/3517. Epub 2012 May 11.
8
Fast multipole acceleration of the MEG/EEG boundary element method.脑磁图/脑电图边界元法的快速多极加速
Phys Med Biol. 2005 Oct 7;50(19):4695-710. doi: 10.1088/0031-9155/50/19/018. Epub 2005 Sep 21.
9
Accuracy of dipole source reconstruction in the 3-layer BEM model against the 5-layer BEM-FMM model.三层边界元模型中偶极子源重建相对于五层边界元-快速多极子模型的准确性。
bioRxiv. 2024 May 21:2024.05.17.594750. doi: 10.1101/2024.05.17.594750.
10
Influence of anisotropic electrical conductivity in white matter tissue on the EEG/MEG forward and inverse solution. A high-resolution whole head simulation study.各向异性脑白质电导率对 EEG/MEG 正、逆解的影响。一项高分辨率全头模拟研究。
Neuroimage. 2010 May 15;51(1):145-63. doi: 10.1016/j.neuroimage.2010.02.014. Epub 2010 Feb 13.

引用本文的文献

1
Improved Source Localization of Auditory Evoked Fields using Reciprocal BEM-FMM.使用互易边界元法-快速多极子方法改进听觉诱发电位场的源定位
bioRxiv. 2025 May 14:2025.05.09.653081. doi: 10.1101/2025.05.09.653081.
2
High-Definition MEG Source Estimation using the Reciprocal Boundary Element Fast Multipole Method.使用互易边界元快速多极子方法的高清脑磁图源估计
bioRxiv. 2025 Mar 24:2025.03.21.644601. doi: 10.1101/2025.03.21.644601.

本文引用的文献

1
Improving EEG Forward Modeling Using High-Resolution Five-Layer BEM-FMM Head Models: Effect on Source Reconstruction Accuracy.使用高分辨率五层边界元法-快速多极子法头部模型改进脑电图正向建模：对源重建准确性的影响。
Bioengineering (Basel). 2024 Oct 26;11(11):1071. doi: 10.3390/bioengineering11111071.
2
An adaptive h-refinement method for the boundary element fast multipole method for quasi-static electromagnetic modeling.自适应 h 细化方法在准静态电磁建模边界元快速多极方法中的应用。
Phys Med Biol. 2024 Feb 28;69(5):055030. doi: 10.1088/1361-6560/ad2638.
3
A fast direct solver for surface-based whole-head modeling of transcranial magnetic stimulation.
一种用于经颅磁刺激的基于表面的全头建模的快速直接求解器。
Sci Rep. 2023 Oct 31;13(1):18657. doi: 10.1038/s41598-023-45602-5.
4
The effect of meninges on the electric fields in TES and TMS. Numerical modeling with adaptive mesh refinement.脑膜对 TES 和 TMS 中电场的影响。自适应网格细化的数值模拟。
Brain Stimul. 2022 May-Jun;15(3):654-663. doi: 10.1016/j.brs.2022.04.009. Epub 2022 Apr 18.
5
Variable innervation of the first dorsal interosseous muscle: an electrophysiological study.第一背侧骨间肌的可变神经支配：一项电生理研究。
Ann Transl Med. 2020 Dec;8(23):1563. doi: 10.21037/atm-20-1466.
6
Boundary Element Fast Multipole Method for Enhanced Modeling of Neurophysiological Recordings.边界元快速多极子方法增强神经生理记录建模。
IEEE Trans Biomed Eng. 2021 Jan;68(1):308-318. doi: 10.1109/TBME.2020.2999271. Epub 2020 Dec 21.
7
Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling.从磁共振图像中进行准确稳健的全头部分割，以进行个体化头部建模。
Neuroimage. 2020 Oct 1;219:117044. doi: 10.1016/j.neuroimage.2020.117044. Epub 2020 Jun 11.
8
The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component.刺激类型、头部建模以及 EEG 和 MEG 联合对体感 P20/N20 成分源重建的影响。
Hum Brain Mapp. 2019 Dec 1;40(17):5011-5028. doi: 10.1002/hbm.24754. Epub 2019 Aug 9.
9
A Quasi-Static Boundary Element Approach With Fast Multipole Acceleration for High-Resolution Bioelectromagnetic Models.一种具有快速多极子加速的准静态边界元方法，用于高分辨率生物电磁模型。
IEEE Trans Biomed Eng. 2018 Dec;65(12):2675-2683. doi: 10.1109/TBME.2018.2813261. Epub 2018 Mar 7.
10
Cortical Thickness Estimations of FreeSurfer and the CAT12 Toolbox in Patients with Alzheimer's Disease and Healthy Controls.利用 FreeSurfer 和 CAT12 工具箱对阿尔茨海默病患者和健康对照者进行皮质厚度估计。
J Neuroimaging. 2018 Sep;28(5):515-523. doi: 10.1111/jon.12521. Epub 2018 May 15.