Multi-compartment head modeling in EEG: Unstructured boundary-fitted tetra meshing with subcortical structures.

ABSTRACT: This paper introduces an automated approach for generating a finite element (FE) discretization of a multi-compartment human head model for electroencephalographic (EEG) source localization. We aim to provide an adaptable FE mesh generation tool for EEG studies. Our technique relies on recursive solid angle labeling of a surface segmentation coupled with smoothing, refinement, inflation, and optimization procedures to enhance the mesh quality. In this study, we performed numerical meshing experiments with the three-layer Ary sphere and a magnetic resonance imaging (MRI)-based multi-compartment head segmentation which incorporates a comprehensive set of subcortical brain structures. These experiments are motivated, on one hand, by the sensitivity of non-invasive subcortical source localizat

SUBMITTER: Galaz Prieto F 

PROVIDER: S-EPMC10511141 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature