The multipole approach for EEG forward modeling using the finite element method

被引:10
|
作者
Vorwerk, Johannes [1 ,2 ]
Hanrath, Anne [4 ]
Wolters, Carsten H. [2 ,3 ]
Grasedyck, Lars [4 ]
机构
[1] UMIT Private Univ Hlth Sci, Inst Elect & Biomed Engn, Med Informat & Technol, Hall In Tirol, Austria
[2] Univ Munster, Inst Biomagnetism & Biosignalanal, Munster, Germany
[3] Univ Munster, Otto Creutzfeldt Ctr Cognit & Behav Neurosci, Munster, Germany
[4] Rhein Westfal TH Aachen, Inst Geometrie & Prakt Math, Aachen, Germany
关键词
EEG; Source analysis; Finite element method; Source modeling; Quadrupole; Multipole; BOUNDARY-ELEMENT; HEAD; DIPOLE; MEG; LOCALIZATION; ACCURACY; FIELDS; SKULL;
D O I
10.1016/j.neuroimage.2019.116039
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
For accurate EEG forward solutions, it is necessary to apply numerical methods that allow to take into account the realistic geometry of the subject's head. A commonly used method to solve this task is the finite element method (FEM). Different approaches have been developed to obtain EEG forward solutions for dipolar sources with the FEM. The St. Venant approach is frequently applied, since its high numerical accuracy and stability as well as its computational efficiency was demonstrated in multiple comparison studies. In this manuscript, we propose a variation of the St. Venant approach, the multipole approach, to improve the numerical accuracy of the St. Venant approach even further and to allow for the simulation of additional source scenarios, such as quadrupolar sources. Exploiting the multipole expansion of electric fields, we demonstrate that the newly proposed multipole approach achieves even higher numerical accuracies than the St. Venant approach in both multi-layer sphere and realistic head models. Additionally, we exemplarily show that the multipole approach allows to not only simulate dipolar but also quadrupolar sources.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] A hybrid boundary element-finite element approach for solving the EEG forward problem in brain modeling
    Dayarian, Nasireh
    Khadem, Ali
    [J]. FRONTIERS IN SYSTEMS NEUROSCIENCE, 2024, 18
  • [2] Forward Modeling of High Frequency Magnetotelluric Using Finite Element Method
    Tang, Jing-Tian
    Xiao, Xiao
    Wang, Ye
    Zhang, Ji-Feng
    Xi, Chaozhuang
    [J]. PIERS 2009 BEIJING: PROGESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, PROCEEDINGS I AND II, 2009, : 265 - +
  • [3] A Mixed Finite Element Method to Solve the EEG Forward Problem
    Vorwerk, J.
    Engwer, C.
    Pursiainen, S.
    Wolters, C. H.
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2017, 36 (04) : 930 - 941
  • [4] Calculation of EEG forward problem with anisotropy by the finite element method
    Tang, ZH
    Yuan, JS
    [J]. APPLIED ELECTROMAGNETICS (III), 2001, 10 : 199 - 202
  • [5] Finite element modeling of current dipoles using direct and subtraction methods for EEG forward problem
    Zhang, Yujie
    Ren, Zhuoxiang
    Lautru, David
    [J]. COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2014, 33 (1-2) : 210 - 223
  • [6] On the forward problem of EEG cortical imaging by means of finite element method
    Zhang, YC
    Zhu, SA
    Ding, L
    Liu, ZM
    He, B
    [J]. PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2004, 26 : 4440 - 4442
  • [7] Fast Forward Modeling of Resistivity Method under Complex Topography Using Finite Element Method
    Zhan, Wang
    Li, Chang-Wei
    Lv, Yu-Zeng
    Luo, Run-Lin
    Bo, Cheng
    Bo, Li
    [J]. APPLIED GEOPHYSICS, 2024,
  • [8] A Coupled Multipole Expansion-Finite Element Approach for Dynamic Micromagnetic Modeling
    Manzin, Alessandra
    Bottauscio, Oriano
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 2009, 45 (11) : 5208 - 5211
  • [9] Forward Modeling of Magnetotelluric Transverse Electric Mode with Topography using Finite Element Method
    Susilawati, Anggie
    Srigutomo, Wahyu
    [J]. 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES (ICMNS 2014), 2015, 1677
  • [10] Study of three-dimensional NMR forward modeling using finite element method
    Ren, Zhiping
    Li, Xiu
    Lei, Yu
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND TRANSPORTATION 2015, 2016, 30 : 1216 - 1220