Published June 7, 2010
| Version v1
Publication
OpenMEEG for M/EEG forward modeling: a comparison study
Contributors
Others:
- Computational Imaging of the Central Nervous System (ATHENA) ; Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Modelling brain structure, function and variability based on high-field MRI data (PARIETAL) ; Service NEUROSPIN (NEUROSPIN) ; Université Paris-Saclay-Institut des Sciences du Vivant Frédéric JOLIOT (JOLIOT) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut des Sciences du Vivant Frédéric JOLIOT (JOLIOT) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre Inria de Saclay ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- ANR-08-BLAN-0250,ViMAGINE,Neuroimagerie Multimodale des Processus Cérébraux Rapides(2008)
Description
Neuroimaging with magneto and electroencephalography (M/EEG) requires to compute the forward problem. It consists in predicting what is measured by MEG or EEG sensors due to a configuration of current generators within the head. When considering realistic head models, the equations derived from Maxwell equations can only be solved numerically. The Boundary Element Method is a standard approach to address this problem. However, different mathematical and computational variants exist within this class of BEM solvers. At least two BEM formulations exist for M/EEG forward modeling (Geselowitz, 1967 and Kybic et al., 2005). Also implementation details vary between the different software packages (e.g. the precision of the numerical integrations). In order to investigate the influence of such differences, we have conducted a numerical experiment that evaluates the precision of 4 different freely available BEM solvers. Results show that OpenMEEG outperforms the alternative software packages.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00502745
- URN
- urn:oai:HAL:inria-00502745v1
Origin repository
- Origin repository
- UNICA