Published 2011
| Version v1
Journal article
Forward Field Computation with OpenMEEG.
Contributors
Others:
- Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
- 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)
- 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)
Description
To recover the sources giving rise to electro- and magnetoencephalography in individual measurements, realistic physiological modeling is required, and accurate numerical solutions must be computed. We present OpenMEEG, which solves the electromagnetic forward problem in the quasistatic regime, for head models with piecewise constant conductivity. The core of OpenMEEG consists of the symmetric Boundary Element Method, which is based on an extended Green Representation theorem. OpenMEEG is able to provide lead fields for four different electromagnetic forward problems: Electroencephalography (EEG), Magnetoencephalography (MEG), Electrical Impedance Tomography (EIT), and intracranial electric potentials (IPs). OpenMEEG is open source and multiplatform. It can be used from Python and Matlab in conjunction with toolboxes that solve the inverse problem; its integration within FieldTrip is operational since release 2.0.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00584205
- URN
- urn:oai:HAL:inria-00584205v1
Origin repository
- Origin repository
- UNICA