Forward Field Computation with OpenMEEG | Zendy

Alexandre Gramfort | Zendy; Théodore Papadopoulo | Zendy; Emmanuel Olivi | Zendy; Maureen Clerc | Zendy

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Forward Field Computation with OpenMEEG

Author(s) -

Alexandre Gramfort,

Théodore Papadopoulo,

Emmanuel Olivi,

Maureen Clerc

Publication year - 2011

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2011/923703

Subject(s) - magnetoencephalography , electrical impedance tomography , piecewise , computer science , inverse problem , computation , electroencephalography , matlab , quasistatic process , algorithm , tomography , physics , mathematical analysis , mathematics , optics , psychology , quantum mechanics , psychiatry , operating system

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.

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