Academic Software Toolboxes for the Analysis of MEG Data

Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 28)


Free MEG and EEG data analysis software packages springing from academic research are now widely used in published work. These toolboxes and applications are typically developed by or in close contact with researchers addressing cognitive or clinical neuroscience questions. Thus they often contain the latest methodological developments from the research community. It is therefore vital to educate MEG researchers and make them aware of the new possibilities offered by these toolboxes. The aim of this paper is to illustrate the characteristics and advantages of the various toolboxes to users and developers alike. We present each toolbox with their key features and target audience.


MEG source analysis data analysis imaging mapping connectivity forward modeling 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Department of NeurologyMedical College of WisconsinMilwaukeeUSA
  2. 2.Neuroimaing GroupUniversity of Southern CaliforniaLos AngelesUSA
  3. 3.Cleveland ClinicClevelandUSA
  4. 4.CERCOUniversite Paul Sabatier/CNRSToulouseFrance
  5. 5.Swartz Center for Computational Neuroscience, Institute for Neural ComputationUniversity of CaliforniaSan DiegoUSA
  6. 6.Donders Institute for Brain, Cognition and BehaviourRadboud University NijmegenNijmegenThe Netherlands
  7. 7.Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalCharlestownUSA
  8. 8.Dynamique Cérébrale et CognitionINSERM Unité 821LyonFrance
  9. 9.Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and AstronomyUniversity of NottinghamUniversity ParkUK
  10. 10.INRIA Sophia Antipolis MéditerranéeSophia-Antipolis CedexFrance
  11. 11.Institute for Biomagnetism and BiosignalanalysisUniversity of MuensterMuensterGermany
  12. 12.Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany

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