EPOS: EEG Processing Open-Source Scripts

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

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


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.

Original languageEnglish (US)
Article number660449
JournalFrontiers in Neuroscience
StatePublished - Jun 7 2021


  • EEG
  • EEG frequency band analysis
  • EEG preprocessing
  • EEG processing
  • electroencephalography
  • event-related potentials-ERP

ASJC Scopus subject areas

  • Neuroscience(all)


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