EPOS: EEG Processing Open-Source Scripts

@article{Rodrigues2021EPOSEP,
  title={EPOS: EEG Processing Open-Source Scripts},
  author={Johannes Rodrigues and Martin Wei{\ss} and Johannes Hewig and John J. B. Allen},
  journal={Frontiers in Neuroscience},
  year={2021},
  volume={15}
}
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… 
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13 Citations
Background Citations
2
Methods Citations
5

13 Citations

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Introducing RELAX (the Reduction of Electroencephalographic Artifacts): A fully automated pre-processing pipeline for cleaning EEG data – Part 2: Application to Event-Related Potentials
TLDR
This companion article introduced RELAX (the Reduction of Electroencephalographic Artifacts), an automated and modular cleaning pipeline that reduces artifacts with Multiple Wiener Filtering and wavelet enhanced independent component analysis ( wICA) applied to artifact components detected with ICLabel (wICA_ICLabel) (Bailey et al., 2022).
Reliability of reward ERPs in middle-late adolescents using a custom and a standardized preprocessing pipeline.
Despite advantage of neuroimaging measures in translational research frameworks, less is known about the psychometric properties thereof, especially in middle-late adolescents. Earlier, we examined…
Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs
M/EEG resting-state analysis often requires the definition of the epoch length and the criteria to select which epochs to include in the subsequent steps. However, the effects of epoch selection…
EEG-Based Identification of Emotional Neural State Evoked by Virtual Environment Interaction
TLDR
This study proposes a machine learning framework for emotion state classification using EEG signals in virtual reality (VR) environments and expects that this framework can be applied widely not only to psychological research but also to mental health-related issues.
The Influence of Mental Imagery Expertise of Pen and Paper Players versus Computer Gamers upon Performance and Electrocortical Correlates in a Difficult Mental Rotation Task
We investigated the influence of mental imagery expertise in 15 pen and paper role-players as an expert group compared to the gender-matched control group of computer role-players in the difficult…
Timing of adoption is associated with electrophysiological brain activity and externalizing problems among children adopted internationally.
This study investigated middle childhood resting electroencephalography (EEG) and behavioral adjustment in 35 internationally adopted children removed from early caregiving adversity between 6 and 29…
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