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MNE: Software for Acquiring, Processing,and Visualizing MEG/EEG Data

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Magnetoencephalography

Abstract

The methods for acquiring, processing, and visualizing magnetoencephalography (MEG) and electroencephalography (EEG) data are rapidly evolving. Advancements in hardware and software development offer new opportunities for cognitive and clinical neuroscientists but at the same time introduce new challenges as well. In recent years the MEG/EEG community has developed a variety of software tools to overcome these challenges and cater to individual research needs. As part of this endeavor, the MNE software project, which includes MNE-C, MNE-Python, MNE-CPP, and MNE-MATLAB as its subprojects, offers an efficient set of tools addressing certain common needs. Even more importantly, the MNE software family covers diverse use case scenarios. Here, we present the landscape of the MNE project and discuss how it will evolve to address the current and emerging needs of the MEG/EEG community.

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Author information

Authors and Affiliations

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

    Lorenz Esch, Mainak Jas, Sheraz Khan & Matti S. Hämäläinen

  2. Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany

    Lorenz Esch

  3. Boston Children’s Hospital, Boston, MA, USA

    Lorenz Esch & Christoph Dinh

  4. Institute for Medical Engineering, Research Campus STIMULATE, Otto-von-Guericke University, Magdeburg, Germany

    Christoph Dinh

  5. Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, USA

    Eric Larson

  6. INRIA, CEA, Université Paris-Saclay, Palaiseau, France

    Denis Engemann & Alexandre Gramfort

  7. Massachusetts Institute of Technology, Cambridge, Cambridge, USA

    Sheraz Khan & Matti S. Hämäläinen

  8. Harvard Medical School, Boston, MA, USA

    Sheraz Khan & Matti S. Hämäläinen

Authors
  1. Lorenz Esch
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  2. Christoph Dinh
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  3. Eric Larson
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  4. Denis Engemann
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  5. Mainak Jas
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  6. Sheraz Khan
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  7. Alexandre Gramfort
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  8. Matti S. Hämäläinen
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Corresponding author

Correspondence to Alexandre Gramfort .

Editor information

Editors and Affiliations

  1. Faculty of Science, Department of Physics, University of Zagreb, Zagreb, Croatia

    Selma Supek

  2. School of Medicine Department of Radiology, University of New Mexico, Albuquerque, NM, USA

    Cheryl J. Aine

Section Editor information

  1. Inria Saclay Île-de-France, Palaiseau, France

    Alexandre Gramfort

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Esch, L. et al. (2019). MNE: Software for Acquiring, Processing,and Visualizing MEG/EEG Data. In: Supek, S., Aine, C. (eds) Magnetoencephalography. Springer, Cham. https://doi.org/10.1007/978-3-319-62657-4_59-1

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  • DOI: https://doi.org/10.1007/978-3-319-62657-4_59-1

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