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
  • [31] Three-Dimensional Forward Modeling for TEM by Vector Finite Element Method
    Li, Jia
    Li, Xiu
    Yao, Weihua
    [J]. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ENGINEERING GEOPHYSICS (ICEEG) & SUMMIT FORUM OF CHINESE ACADEMY OF ENGINEERING ON ENGINEERING SCIENCE AND TECHNOLOGY, 2016, 71 : 88 - 90
  • [32] Three-dimensional forward modeling for magnetotelluric sounding by finite element method
    Tong Xiao-zhong
    Liu Jian-xin
    Xie Wei
    Xu Lin-hua
    Guo Rong-wen
    Cheng Yun-tao
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, 2009, 16 (01): : 136 - 142
  • [34] Modeling of Complex Moving Sound Sources Using a Cut Finite Element Method Approach
    van Ophem, Sjoerd
    Desmet, Wim
    Deckers, Elke
    [J]. JOURNAL OF THEORETICAL AND COMPUTATIONAL ACOUSTICS, 2023, 31 (04):
  • [35] The Discontinuous Galerkin Finite Element Method for Solving the MEG and the Combined MEG/EEG Forward Problem
    Piastra, Maria Carla
    Nuessing, Andreas
    Vorwerk, Johannes
    Bornfleth, Harald
    Oostenveld, Robert
    Engwer, Christian
    Wolters, Carsten H.
    [J]. FRONTIERS IN NEUROSCIENCE, 2018, 12
  • [36] GEOTHERMAL MODELING USING THE FINITE-ELEMENT METHOD
    VANROOY, D
    [J]. GEOEXPLORATION, 1983, 21 (04): : 294 - 294
  • [37] Stent modeling using immersed finite element method
    Gay, Mickael
    Zhang, Lucy
    Liu, Wing Kam
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2006, 195 (33-36) : 4358 - 4370
  • [38] Modeling of Musculoskeletal Systems Using Finite Element Method
    Stojanovic, B.
    Kojic, M.
    [J]. JOURNAL OF THE SERBIAN SOCIETY FOR COMPUTATIONAL MECHANICS, 2007, 1 (01) : 110 - 119
  • [39] Wear Simulation Modeling by Using the Finite Element Method
    Pelagić, Zoran
    Nágeľ, Martin
    Žmindák, Milan
    Riecky, Daniel
    [J]. Manufacturing Technology, 2015, 15 (02): : 21 - 21
  • [40] Numerical modeling of cardiomyocytes using Finite Element Method
    Oliveira, Joana
    Rodrigues, Jose A.
    [J]. 2019 6TH IEEE PORTUGUESE MEETING IN BIOENGINEERING (ENBENG), 2019,