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EPOS: EEG Processing Open-Source Scripts

BACKGROUND: Since the replication crisis, standardization has become even more important in psychological science and neuroscience. As a result, many methods are being reconsidered, and researchers’ degrees of freedom in these methods are being discussed as a potential source of inconsistencies acro...

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Autores principales: Rodrigues, Johannes, Weiß, Martin, Hewig, Johannes, Allen, John J. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215552/
https://www.ncbi.nlm.nih.gov/pubmed/34163321
http://dx.doi.org/10.3389/fnins.2021.660449
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author Rodrigues, Johannes
Weiß, Martin
Hewig, Johannes
Allen, John J. B.
author_facet Rodrigues, Johannes
Weiß, Martin
Hewig, Johannes
Allen, John J. B.
author_sort Rodrigues, Johannes
collection PubMed
description BACKGROUND: Since the replication crisis, standardization has become even more important in psychological science and neuroscience. As a result, many methods are being reconsidered, and researchers’ degrees of freedom in these methods are being discussed as a potential source of inconsistencies across studies. NEW METHOD: With the aim of addressing these subjectivity issues, we have been working on a tutorial-like EEG (pre-)processing pipeline to achieve an automated method based on the semi-automated analysis proposed by Delorme and Makeig. RESULTS: Two scripts are presented and explained step-by-step to perform basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the data. The open-source software EEGlab in MATLAB is used as the data handling platform, but scripts based on code provided by Mike Cohen (2014) are also included. COMPARISON WITH EXISTING METHODS: This accompanying tutorial-like article explains and shows how the processing of our automated pipeline affects the data and addresses, especially beginners in EEG-analysis, as other (pre)-processing chains are mostly targeting rather informed users in specialized areas or only parts of a complete procedure. In this context, we compared our pipeline with a selection of existing approaches. CONCLUSION: The need for standardization and replication is evident, yet it is equally important to control the plausibility of the suggested solution by data exploration. Here, we provide the community with a tool to enhance the understanding and capability of EEG-analysis. We aim to contribute to comprehensive and reliable analyses for neuro-scientific research.
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spelling pubmed-82155522021-06-22 EPOS: EEG Processing Open-Source Scripts Rodrigues, Johannes Weiß, Martin Hewig, Johannes Allen, John J. B. Front Neurosci Neuroscience BACKGROUND: Since the replication crisis, standardization has become even more important in psychological science and neuroscience. As a result, many methods are being reconsidered, and researchers’ degrees of freedom in these methods are being discussed as a potential source of inconsistencies across studies. NEW METHOD: With the aim of addressing these subjectivity issues, we have been working on a tutorial-like EEG (pre-)processing pipeline to achieve an automated method based on the semi-automated analysis proposed by Delorme and Makeig. RESULTS: Two scripts are presented and explained step-by-step to perform basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the data. The open-source software EEGlab in MATLAB is used as the data handling platform, but scripts based on code provided by Mike Cohen (2014) are also included. COMPARISON WITH EXISTING METHODS: This accompanying tutorial-like article explains and shows how the processing of our automated pipeline affects the data and addresses, especially beginners in EEG-analysis, as other (pre)-processing chains are mostly targeting rather informed users in specialized areas or only parts of a complete procedure. In this context, we compared our pipeline with a selection of existing approaches. CONCLUSION: The need for standardization and replication is evident, yet it is equally important to control the plausibility of the suggested solution by data exploration. Here, we provide the community with a tool to enhance the understanding and capability of EEG-analysis. We aim to contribute to comprehensive and reliable analyses for neuro-scientific research. Frontiers Media S.A. 2021-06-07 /pmc/articles/PMC8215552/ /pubmed/34163321 http://dx.doi.org/10.3389/fnins.2021.660449 Text en Copyright © 2021 Rodrigues, Weiß, Hewig and Allen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Rodrigues, Johannes
Weiß, Martin
Hewig, Johannes
Allen, John J. B.
EPOS: EEG Processing Open-Source Scripts
title EPOS: EEG Processing Open-Source Scripts
title_full EPOS: EEG Processing Open-Source Scripts
title_fullStr EPOS: EEG Processing Open-Source Scripts
title_full_unstemmed EPOS: EEG Processing Open-Source Scripts
title_short EPOS: EEG Processing Open-Source Scripts
title_sort epos: eeg processing open-source scripts
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215552/
https://www.ncbi.nlm.nih.gov/pubmed/34163321
http://dx.doi.org/10.3389/fnins.2021.660449
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