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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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Detalles Bibliográficos
Autores principales: Gramfort, Alexandre, Papadopoulo, Théodore, Olivi, Emmanuel, Clerc, Maureen
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061324/
https://www.ncbi.nlm.nih.gov/pubmed/21437231
http://dx.doi.org/10.1155/2011/923703
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author Gramfort, Alexandre
Papadopoulo, Théodore
Olivi, Emmanuel
Clerc, Maureen
author_facet Gramfort, Alexandre
Papadopoulo, Théodore
Olivi, Emmanuel
Clerc, Maureen
author_sort Gramfort, Alexandre
collection PubMed
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.
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spelling pubmed-30613242011-03-24 Forward Field Computation with OpenMEEG Gramfort, Alexandre Papadopoulo, Théodore Olivi, Emmanuel Clerc, Maureen Comput Intell Neurosci Research Article 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. Hindawi Publishing Corporation 2011 2011-03-14 /pmc/articles/PMC3061324/ /pubmed/21437231 http://dx.doi.org/10.1155/2011/923703 Text en Copyright © 2011 Alexandre Gramfort et al. https://creativecommons.org/licenses/by/3.0/ 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.
spellingShingle Research Article
Gramfort, Alexandre
Papadopoulo, Théodore
Olivi, Emmanuel
Clerc, Maureen
Forward Field Computation with OpenMEEG
title 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_short Forward Field Computation with OpenMEEG
title_sort forward field computation with openmeeg
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061324/
https://www.ncbi.nlm.nih.gov/pubmed/21437231
http://dx.doi.org/10.1155/2011/923703
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