Preprint

EPOS: EEG Processing Open-source Standardization

This article is a preprint and has not been certified by peer review [What does this mean?].

Author(s) / Creator(s)

Rodrigues, Johannes
Weiß, Martin
Allen, John J. B.
Hewig, Johannes

Abstract / Description

Since the replication crisis, standardization has assumed even greater importance in psychological science and neuroscience. Many widely used methods are therefore being reconsidered and the degrees of freedom these methods provide to researchers are discussed as a potential source of inconsistencies across studies. With the aim of addressing these subjectivity problems, we have been working for some time on standardizing EEG analysis in order to achieve an automated and standardized processing pipeline based on the suggested semi-automated analysis proposed by Delorme and Makeig. In this work, two scripts are now presented and explained, each containing 9 steps to perform a basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the results for validation of the results. The open-source software EEGlab in MATLAB is used as the data handling platform, but also included are scripts based on the code provided by Mike Cohen (2014). We hope that this (pre-) processing chain may offer a standardized way of analyzing data, and one that clearly explains and openly shows how the processing impacts the data, especially for beginners and newcomers in EEG-analysis. The need for standardization and replication is clearly important, yet it is equally important to look carefully into the details rather than blindly following a set of prescribed procedures. Here, we provide this tool to the community to enhance the understanding and capability of EEG-analysis, as part of one small and very basic step to enhancing rich, comprehensive and reliable methods for neuro-scientific research.

Keyword(s)

EEG processing chain EEG analysis automatization EEG methods

Persistent Identifier

Date of first publication

2020-10

Publisher

PsychArchives

Is version of

Citation

Rodrigues, J., Weiß, M., Allen, J. J. B., & Hewig, J. (2020). EPOS: EEG Processing Open-source Standardization. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4202
  • Author(s) / Creator(s)
    Rodrigues, Johannes
  • Author(s) / Creator(s)
    Weiß, Martin
  • Author(s) / Creator(s)
    Allen, John J. B.
  • Author(s) / Creator(s)
    Hewig, Johannes
  • PsychArchives acquisition timestamp
    2020-10-07T16:01:41Z
  • Made available on
    2020-10-07T16:01:41Z
  • Date of first publication
    2020-10
  • Submission date
    2020-06
  • Submission date
    2020-08
  • Abstract / Description
    Since the replication crisis, standardization has assumed even greater importance in psychological science and neuroscience. Many widely used methods are therefore being reconsidered and the degrees of freedom these methods provide to researchers are discussed as a potential source of inconsistencies across studies. With the aim of addressing these subjectivity problems, we have been working for some time on standardizing EEG analysis in order to achieve an automated and standardized processing pipeline based on the suggested semi-automated analysis proposed by Delorme and Makeig. In this work, two scripts are now presented and explained, each containing 9 steps to perform a basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the results for validation of the results. The open-source software EEGlab in MATLAB is used as the data handling platform, but also included are scripts based on the code provided by Mike Cohen (2014). We hope that this (pre-) processing chain may offer a standardized way of analyzing data, and one that clearly explains and openly shows how the processing impacts the data, especially for beginners and newcomers in EEG-analysis. The need for standardization and replication is clearly important, yet it is equally important to look carefully into the details rather than blindly following a set of prescribed procedures. Here, we provide this tool to the community to enhance the understanding and capability of EEG-analysis, as part of one small and very basic step to enhancing rich, comprehensive and reliable methods for neuro-scientific research.
    en
  • Publication status
    other
    en
  • Review status
    notReviewed
    en
  • Sponsorship
    This publication was funded by the research training fellowship of the society of psychophysiological research as well as by the University of Wüerzburg in the funding program Open Access Publishing.
    en
  • Citation
    Rodrigues, J., Weiß, M., Allen, J. J. B., & Hewig, J. (2020). EPOS: EEG Processing Open-source Standardization. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4202
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/3814
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.4202
  • Language of content
    eng
  • Publisher
    PsychArchives
    en
  • Is version of
    https://doi.org/10.3389/fnins.2021.660449
  • Requires
    https://osf.io/cw5qv/
  • Keyword(s)
    EEG processing chain
    en
  • Keyword(s)
    EEG analysis automatization
    en
  • Keyword(s)
    EEG methods
    en
  • Dewey Decimal Classification number(s)
    150
  • Title
    EPOS: EEG Processing Open-source Standardization
    en
  • DRO type
    preprint
    en