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Magnetoencephalography pp 1–16Cite as

MEG/EEG Data Analysis Using EEGLAB

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Abstract

EEGLAB (sccn.ucsc.edu/eeglab) is an easily extensible, highly evolved, and widely used open-source environment for signal processing and visualization of electroencephalographic data running on MATLAB (The MathWorks, Inc.). Methods central to EEGLAB include time and time-frequency analysis and visualization of individual datasets and complete studies, independent component analysis (ICA), and rich tools for connectivity analysis, brain-computer interface (BCI) development, and fusion and joint analysis of simultaneously recorded motion capture and brain data. We introduce a new MEEG plug-in that enables MEG and simultaneously recorded MEG/EEG (MEEG) data to be readily analyzed using EEGLAB. Its use is demonstrated by the analysis of an MEEG dataset. Here we show a first ICA decomposition of an MEEG dataset and use MEEG plotting tools to localize and evaluate maximally independent joint MEG/EEG component processes in the data. The analysis naturally recovers a range of artifact sources, as well as brain sources common to MEG and EEG, as well as sources primarily visible only to EEG.

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Acknowledgements

This work was funded by a gift from The Swartz Foundation (Old Field, NY) and by the National Institutes of Health, USA, Grant R01 NS047293-09, and National Science Foundation, USA, Grant BCS-1460885.

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Authors and Affiliations

  1. Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA

    John R. Iversen & Scott Makeig

Authors
  1. John R. Iversen
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  2. Scott Makeig
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Corresponding author

Correspondence to John R. Iversen .

Editor information

Editors and Affiliations

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

    Selma Supek

  2. Reno, NV, USA

    Cheryl J. Aine

Section Editor information

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

    Alexandre Gramfort

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Iversen, J.R., Makeig, S. (2019). MEG/EEG Data Analysis Using EEGLAB. In: Supek, S., Aine, C. (eds) Magnetoencephalography. Springer, Cham. https://doi.org/10.1007/978-3-319-62657-4_8-1

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  • DOI: https://doi.org/10.1007/978-3-319-62657-4_8-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62657-4

  • Online ISBN: 978-3-319-62657-4

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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