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SEREEGA: Simulating Event-Related EEG Activity

View ORCID ProfileLaurens R. Krol, Juliane Pawlitzki, View ORCID ProfileFabien Lotte, View ORCID ProfileKlaus Gramann, Thorsten O. Zander
doi: https://doi.org/10.1101/326066
Laurens R. Krol
1Biological Psychology and Neuroergonomics, Technische Universität Berlin, Sekr. KWT-1, Fasanenstr. 1, 10623 Berlin, Germany
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  • ORCID record for Laurens R. Krol
  • For correspondence: lrkrol@gmail.com
Juliane Pawlitzki
2Zander Laboratories B.V., Amsterdam, The Netherlands
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Fabien Lotte
3Inria, LaBRI (CNRS/Univ Bordeaux/Bordeaux INP), Talence, France
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Klaus Gramann
1Biological Psychology and Neuroergonomics, Technische Universität Berlin, Sekr. KWT-1, Fasanenstr. 1, 10623 Berlin, Germany
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Thorsten O. Zander
1Biological Psychology and Neuroergonomics, Technische Universität Berlin, Sekr. KWT-1, Fasanenstr. 1, 10623 Berlin, Germany
2Zander Laboratories B.V., Amsterdam, The Netherlands
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Abstract

Electroencephalography (EEG) is a popular method to monitor brain activity, but it can be difficult to evaluate EEG-based analysis methods because no ground-truth brain activity is available for comparison. Therefore, in order to test and evaluate such methods, researchers often use simulated EEG data instead of actual EEG recordings, ensuring that it is known beforehand which e ects are present in the data. As such, simulated data can be used, among other things, to assess or compare signal processing and machine learn-ing algorithms, to model EEG variabilities, and to design source reconstruction methods. In this paper, we present SEREEGA, short for Simulating Event-Related EEG Activity. SEREEGA is a MATLAB-based open-source toolbox dedicated to the generation of sim-ulated epochs of EEG data. It is modular and extensible, at initial release supporting ve different publicly available head models and capable of simulating multiple different types of signals mimicking brain activity. This paper presents the architecture and general work ow of this toolbox, as well as a simulated data set demonstrating some of its functions.

Highlights

  • Simulated EEG data has a known ground truth, which can be used to validate methods.

  • We present a general-purpose open-source toolbox to simulate EEG data.

  • It provides a single framework to simulate many different types of EEG recordings.

  • It is modular, extensible, and already includes a number of head models and signals.

  • It supports noise, oscillations, event-related potentials, connectivity, and more.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted May 18, 2018.
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SEREEGA: Simulating Event-Related EEG Activity
Laurens R. Krol, Juliane Pawlitzki, Fabien Lotte, Klaus Gramann, Thorsten O. Zander
bioRxiv 326066; doi: https://doi.org/10.1101/326066
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SEREEGA: Simulating Event-Related EEG Activity
Laurens R. Krol, Juliane Pawlitzki, Fabien Lotte, Klaus Gramann, Thorsten O. Zander
bioRxiv 326066; doi: https://doi.org/10.1101/326066

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