机构:
Neurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, FranceNeurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, France
Gramfort, Alexandre
[1
]
Papadopoulo, Theodore
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机构:
INRIA Sophia Antipolis Mediterranee, Athena Project Team, F-06902 Sophia Antipolis, FranceNeurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, France
Papadopoulo, Theodore
[2
]
Olivi, Emmanuel
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机构:
INRIA Sophia Antipolis Mediterranee, Athena Project Team, F-06902 Sophia Antipolis, FranceNeurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, France
Olivi, Emmanuel
[2
]
Clerc, Maureen
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机构:
INRIA Sophia Antipolis Mediterranee, Athena Project Team, F-06902 Sophia Antipolis, FranceNeurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, France
Clerc, Maureen
[2
]
机构:
[1] Neurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, France
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.