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Computational Intelligence and Neuroscience
Volume 2011 (2011), Article ID 923703, 13 pages
http://dx.doi.org/10.1155/2011/923703
Research Article

Forward Field Computation with OpenMEEG

1Parietal Project Team, INRIA Saclay Ile-de-France, Neurospin-CEA, Bât 145, Point Courrier 156, 91191 Gif/Yvette, France
2Athena Project Team, INRIA Sophia Antipolis-Méditerranée, 2004, Route des Lucioles, 06902 Sophia Antipolis, France

Received 14 September 2010; Revised 14 December 2010; Accepted 17 January 2011

Academic Editor: Sylvain Baillet

Copyright © 2011 Alexandre Gramfort et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.