AUTHOR=Dayarian Nasireh , Khadem Ali 

TITLE=A hybrid boundary element-finite element approach for solving the EEG forward problem in brain modeling

JOURNAL=Frontiers in Systems Neuroscience

VOLUME=Volume 18 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/systems-neuroscience/articles/10.3389/fnsys.2024.1327674

DOI=10.3389/fnsys.2024.1327674

ISSN=1662-5137

ABSTRACT=This article presents a hybrid boundary element-finite element (BE-FE) method to solve the EEG forward problem and takes advantage of both the boundary element method (BEM) and finite element method (FEM). The Finite Element Method (FEM) offers the advantage of accurate modeling of complex and anisotropic tissue properties, making it suitable for EEG forward problems in realistic head geometries. On the other hand, the Boundary Element Method (BEM) excels in handling isotropic tissue regions and dipolar sources with a simplified mesh, leading to computational efficiency. This work utilizes both FEM and BEM strengths attained by dividing the regions into some homogeneous BE regions with sources and some heterogeneous and anisotropic FE regions. Furthermore, the BEM is applied for modeling the brain, including dipole sources, and the FEM for other head layers. To validate the proposed method, inhomogeneous isotropic/anisotropic three-and four-layer spherical head models are studied. Moreover, a four-layer MRI-based realistic head model is investigated. Results for six different dipole eccentricities and two different dipole orientations are computed using the BEM, FEM, and hybrid BE-FE method together with statistical analysis, and the related error criteria are compared. The proposed method is a promising new approach for solving realistic EEG forward problems paving the way for improved neuroimaging techniques and enhanced understanding of brain function.