Forward Field Computation with OpenMEEG
Alexandre Gramforta✉, Théodore Papadopoulob c, Emmanuel Olivib c, Maureen Clercb c
- aParietal Project Team, INRIA Saclay Ile-de-France, Neurospin-CEA, Bât 145, Point Courrier 156, 91191 Gif/Yvette, France
- bAthena Project Team, INRIA Sophia Antipolis-Méditerranée, 2004, Route des Lucioles, 06902 Sophia Antipolis, France
- cComputational Imaging of the Central Nervous System
- ✉Corresponding author
Papers open inside SciRah from the original publisher or repository; SciRah never hosts them.
Abstract
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.

