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...
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2011-01-01
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Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2011/923703 |
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doaj-0be68ad074b443ce90afa9fd79255f612020-11-24T23:29:22ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732011-01-01201110.1155/2011/923703923703Forward Field Computation with OpenMEEGAlexandre Gramfort0Théodore Papadopoulo1Emmanuel Olivi2Maureen Clerc3Parietal Project Team, INRIA Saclay Ile-de-France, Neurospin-CEA, Bât 145, Point Courrier 156, 91191 Gif/Yvette, FranceAthena Project Team, INRIA Sophia Antipolis-Méditerranée, 2004, Route des Lucioles, 06902 Sophia Antipolis, FranceAthena Project Team, INRIA Sophia Antipolis-Méditerranée, 2004, Route des Lucioles, 06902 Sophia Antipolis, FranceAthena Project Team, INRIA Sophia Antipolis-Méditerranée, 2004, Route des Lucioles, 06902 Sophia Antipolis, FranceTo 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.http://dx.doi.org/10.1155/2011/923703 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alexandre Gramfort Théodore Papadopoulo Emmanuel Olivi Maureen Clerc |
spellingShingle |
Alexandre Gramfort Théodore Papadopoulo Emmanuel Olivi Maureen Clerc Forward Field Computation with OpenMEEG Computational Intelligence and Neuroscience |
author_facet |
Alexandre Gramfort Théodore Papadopoulo Emmanuel Olivi Maureen Clerc |
author_sort |
Alexandre Gramfort |
title |
Forward Field Computation with OpenMEEG |
title_short |
Forward Field Computation with OpenMEEG |
title_full |
Forward Field Computation with OpenMEEG |
title_fullStr |
Forward Field Computation with OpenMEEG |
title_full_unstemmed |
Forward Field Computation with OpenMEEG |
title_sort |
forward field computation with openmeeg |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5265 1687-5273 |
publishDate |
2011-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2011/923703 |
work_keys_str_mv |
AT alexandregramfort forwardfieldcomputationwithopenmeeg AT theodorepapadopoulo forwardfieldcomputationwithopenmeeg AT emmanuelolivi forwardfieldcomputationwithopenmeeg AT maureenclerc forwardfieldcomputationwithopenmeeg |
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1725546020376412160 |