Academic software toolboxes for the analysis of MEG data

S. Baillet, F. Tadel, R. M. Leahy, J. C. Mosher, A. Delorme, S. Makeig, R. Oostenveld, M. Hämäläinen, S. S. Dalal, J. Zumer, M. Clerc, C. H. Wolters, S. Kiebel, O. Jensen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag2010
PublisherSpringer
Pages101-104
Number of pages4
Volume28
ISBN (Print)9783642121968
DOIs
Publication statusPublished - 21 May 2010
Event17th International Conference on Biomagnetism Advances in Biomagnetism, Biomag2010 - Dubrovnik, Croatia
Duration: 28 Mar 20101 Apr 2010

Conference

Conference17th International Conference on Biomagnetism Advances in Biomagnetism, Biomag2010
CountryCroatia
CityDubrovnik
Period28/03/101/04/10

Keywords

  • Connectivity
  • Data analysis
  • Forward modeling
  • Imaging
  • Mapping
  • MEG
  • Source analysis

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  • Cite this

    Baillet, S., Tadel, F., Leahy, R. M., Mosher, J. C., Delorme, A., Makeig, S., Oostenveld, R., Hämäläinen, M., Dalal, S. S., Zumer, J., Clerc, M., Wolters, C. H., Kiebel, S., & Jensen, O. (2010). Academic software toolboxes for the analysis of MEG data. In 17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag2010 (Vol. 28, pp. 101-104). Springer. https://doi.org/10.1007/978-3-642-12197-5_19