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17th International Conference on Biomagnetism Advances in Biomagnetism – Biomag2010 pp 101–104Cite as

Academic Software Toolboxes for the Analysis of MEG Data

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

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Neurology, Medical College of Wisconsin, Milwaukee, USA

    S. Baillet

  2. Neuroimaing Group, University of Southern California, Los Angeles, USA

    F. Tadel & R. M. Leahy

  3. Cleveland Clinic, Cleveland, USA

    J. C. Mosher

  4. CERCO, Universite Paul Sabatier/CNRS, Toulouse, France

    A. Delorme

  5. Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, USA

    A. Delorme & S. Makeig

  6. Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, NL-6500, HB, Nijmegen, The Netherlands

    R. Oostenveld & O. Jensen

  7. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA

    M. Hämäläinen

  8. Dynamique Cérébrale et Cognition, INSERM Unité 821, Lyon, France

    S. S. Dalal

  9. Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK

    J. Zumer

  10. INRIA Sophia Antipolis Méditerranée, 2004, route des Lucioles, BP 93, 06902, Sophia-Antipolis Cedex, France

    M. Clerc

  11. Institute for Biomagnetism and Biosignalanalysis, University of Muenster, 48149, Muenster, Germany

    C. H. Wolters

  12. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

    S. Kiebel

Authors
  1. S. Baillet
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  2. F. Tadel
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  3. R. M. Leahy
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  4. J. C. Mosher
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  5. A. Delorme
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  6. S. Makeig
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  7. R. Oostenveld
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  8. M. Hämäläinen
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  9. S. S. Dalal
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  10. J. Zumer
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  11. M. Clerc
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  12. C. H. Wolters
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  13. S. Kiebel
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  14. O. Jensen
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Editor information

Editors and Affiliations

  1. Faculty of Science, Dept. of Physics, University of Zagreb, Bijenicka cesta 32, 10000, Zagreb, Croatia

    Selma Supek  & Ana Sušac  & 

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Baillet, S. et al. (2010). Academic Software Toolboxes for the Analysis of MEG Data. In: Supek, S., Sušac, A. (eds) 17th International Conference on Biomagnetism Advances in Biomagnetism – Biomag2010. IFMBE Proceedings, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12197-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-12197-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12196-8

  • Online ISBN: 978-3-642-12197-5

  • eBook Packages: EngineeringEngineering (R0)

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