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This article is a preprint and has not been certified by peer review [What does this mean?].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 methodsPersistent 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
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Manuscript_2020_09_04_Rodrigues_Weiß_Allen_Hewig.pdfAdobe PDF - 5.48MBMD5: 709fc1e19116deebd21e094e96f6f910
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There are no other versions of this object.
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Author(s) / Creator(s)Rodrigues, Johannes
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Author(s) / Creator(s)Weiß, Martin
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Author(s) / Creator(s)Allen, John J. B.
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Author(s) / Creator(s)Hewig, Johannes
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PsychArchives acquisition timestamp2020-10-07T16:01:41Z
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Made available on2020-10-07T16:01:41Z
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Date of first publication2020-10
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Submission date2020-06
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Submission date2020-08
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Abstract / DescriptionSince 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
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Publication statusotheren
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Review statusnotRevieweden
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SponsorshipThis 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
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CitationRodrigues, J., Weiß, M., Allen, J. J. B., & Hewig, J. (2020). EPOS: EEG Processing Open-source Standardization. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4202en
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/3814
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.4202
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Language of contenteng
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PublisherPsychArchivesen
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Is version ofhttps://doi.org/10.3389/fnins.2021.660449
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Requireshttps://osf.io/cw5qv/
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Keyword(s)EEG processing chainen
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Keyword(s)EEG analysis automatizationen
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Keyword(s)EEG methodsen
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Dewey Decimal Classification number(s)150
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TitleEPOS: EEG Processing Open-source Standardizationen
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DRO typepreprinten