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Forward Field Computation with OpenMEEG
Joint Authors
Papadopoulo, Théodore
Olivi, Emmanuel
Clerc, Maureen
Gramfort, Alexandre
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-03-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gramfort, Alexandre& Papadopoulo, Théodore& Olivi, Emmanuel& Clerc, Maureen. 2011. Forward Field Computation with OpenMEEG. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-508425
Modern Language Association (MLA)
Gramfort, Alexandre…[et al.]. Forward Field Computation with OpenMEEG. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-13.
https://search.emarefa.net/detail/BIM-508425
American Medical Association (AMA)
Gramfort, Alexandre& Papadopoulo, Théodore& Olivi, Emmanuel& Clerc, Maureen. Forward Field Computation with OpenMEEG. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-508425
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508425