OpenMEEG : resolution of forward problems in electroencephalography and magnetoencephalography

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
Higher Edu - Research dev card
  • Creation or important update: 07/10/13
  • Minor correction: 07/10/13
  • Index card author: Pascal Monasse (LIGM)
  • Theme leader: Teresa Gomez-Diaz (LIGM)
General software features

OpenMEEG, now developed by the Athena project (INRIA Sophia Antipolis), is dedicated essentially to the resolution of the forward MEG (magneto-encephalography) and EEG (electroencephalography) problems. For this purpose, it uses a finite surface element method (BEM) that involves at the same time surface potentials and normal currents, which yields symmetrical matrices unlike classical approaches. This approach yields more precise results as well.

Though developed essentially for problems related to brain, OpenMEEG can also be used in other contexts such as electrocardiography, nerve simulation or electrical propagation in the cochlea.

OpenMEEG starts from a geometric-physical description of the head as nested surfaces in the form of meshes (interfaces between head tissues) and of conductivities of the surface delimited tissues. Then, with a description of EEG and/or MEG capture devices, it yields a leadfield, i.e., the transfer matrix modelizing the linear relation from sources to capture devices.

OpenMEEG is written entirely in C++, but is usable from Matlab or Python. It is used/integrated in a few software suites for analysis of signals in the brain, such as Brainstorm, Fieldtrip or SPM, ...

Context in which the software is used

Research in medical imagery.

Publications related to software
  • A. Gramfort, T. Papadopoulo, E. Olivi, M. Clerc. OpenMEEG: opensource software for quasistatic bioelectromagnetics, BioMedical Engineering OnLine 45:9, 2010.

  • Kybic J., Clerc M., Abboud T., Faugeras O., Keriven R., Papadopoulo T., A common formalism for the integral formulations of the forward EEG problem. IEEE Transactions on Medical Imaging, 24:12-28, 2005.

  • See also the software documentation: