» Articles » PMID: 34163321

EPOS: EEG Processing Open-Source Scripts

Overview
Journal Front Neurosci
Date 2021 Jun 24
PMID 34163321
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Transcutaneous Auricular Vagus Nerve Stimulation Enhances Emotional Processing and Long-Term Recognition Memory: Electrophysiological Evidence Across Two Studies.

Ventura-Bort C, Giraudier M, Weymar M Psychophysiology. 2025; 62(3):e70034.

PMID: 40066789 PMC: 11894791. DOI: 10.1111/psyp.70034.


Objective Detection of Newborn Infant Acute Procedural Pain Using EEG and Machine Learning Algorithms.

Roue J, Avnit A, Gholami B, Haddad W, Anand K Paediatr Neonatal Pain. 2025; 7(1):e70001.

PMID: 40066435 PMC: 11891568. DOI: 10.1002/pne2.70001.


Neural dynamics of personality trait perception and interaction preferences.

Weiss M, Paelecke M, Mussel P, Hein G Sci Rep. 2024; 14(1):30455.

PMID: 39668166 PMC: 11638252. DOI: 10.1038/s41598-024-76423-9.


Pain modulates brain potentials and behavioral responses to unfairness.

Hu C, Wu R, Wang C Soc Cogn Affect Neurosci. 2024; 19(1).

PMID: 39508551 PMC: 11630317. DOI: 10.1093/scan/nsae081.


Electrophysiological correlates of why humans deviate from rational decision-making: A registered replication study.

Rodrigues J, Weiss M, Hein G, Hewig J Psychophysiology. 2024; 62(1):e14665.

PMID: 39138761 PMC: 11775885. DOI: 10.1111/psyp.14665.


References
1.
Rodrigues J, Muller M, Muhlberger A, Hewig J . Mind the movement: Frontal asymmetry stands for behavioral motivation, bilateral frontal activation for behavior. Psychophysiology. 2017; 55(1). DOI: 10.1111/psyp.12908. View

2.
Bishop D . Using mismatch negativity to study central auditory processing in developmental language and literacy impairments: where are we, and where should we be going?. Psychol Bull. 2007; 133(4):651-72. DOI: 10.1037/0033-2909.133.4.651. View

3.
Makeig S, Debener S, Onton J, Delorme A . Mining event-related brain dynamics. Trends Cogn Sci. 2004; 8(5):204-10. DOI: 10.1016/j.tics.2004.03.008. View

4.
Jung T, Makeig S, Humphries C, Lee T, McKeown M, Iragui V . Removing electroencephalographic artifacts by blind source separation. Psychophysiology. 2000; 37(2):163-78. View

5.
Chaumon M, Bishop D, Busch N . A practical guide to the selection of independent components of the electroencephalogram for artifact correction. J Neurosci Methods. 2015; 250:47-63. DOI: 10.1016/j.jneumeth.2015.02.025. View