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

Biology

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