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Journal Articles Computational Intelligence and Neuroscience Year : 2011

Forward Field Computation with OpenMEEG.


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.


Medical Imaging

Dates and versions

inria-00584205 , version 1 (07-04-2011)



Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi, Maureen Clerc. Forward Field Computation with OpenMEEG.. Computational Intelligence and Neuroscience, 2011, 2011, pp.923703. ⟨10.1155/2011/923703⟩. ⟨inria-00584205⟩
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