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MNE software for processing MEG and EEG data

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Gramfort, Alexandre, Luessi, Martin, Larson, Eric, Engemann, Denis A., Strohmeier, Daniel, Brodbeck, Christian, Parkkonen, Lauri, Hämäläinen, Matti S.·2014·NeuroImage
DOI 10.1016/j.neuroimage.2013.10.027
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Abstract

Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals originating from neural currents in the brain. Using these signals to characterize and locate brain activity is a challenging task, as evidenced by several decades of methodological contributions. MNE, whose name stems from its capability to compute cortically-constrained minimum-norm current estimates from M/EEG data, is a software package that provides comprehensive analysis tools and workflows including preprocessing, source estimation, time–frequency analysis, statistical analysis, and several methods to estimate functional connectivity between distributed brain regions. The present paper gives detailed information about the MNE package and describes typical use cases while also warning about potential caveats in analysis. The MNE package is a collaborative effort of multiple institutes striving to implement and share best methods and to facilitate distribution of analysis pipelines to advance reproducibility of research. Full documentation is available at http://martinos.org/mne.

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Metadata

Authors
Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., Parkkonen, L., & Hämäläinen, M. S.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2014-02
Volume
86
Pages
446-460
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2013.10.027
OpenAlex
W2135595031
Cited by
1,951
References
16
FWCI
21.71
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Funders
  • National Institute of Biomedical Imaging and Bioengineering (5R01EB009048, P41RR014075)
  • National Institute on Deafness and Other Communication Disorders (F32DC012456)
  • NSF (0958669, 1042134)
  • ERC-YStG-263584
  • aivoAALTO
  • Swiss National Science Foundation Early Postdoc. Mobility (148485)

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Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., Parkkonen, L., & Hämäläinen, M. S. (2014). MNE software for processing MEG and EEG data. NeuroImage. https://doi.org/10.1016/j.neuroimage.2013.10.027

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