@article{MusselUlrichAllenetal.2016,
  author    = {Mussel, Patrick and Ulrich, Nathalie and Allen, John J. B. and Osinsky, Roman and Hewig, Johannes},
  title     = {Patterns of theta oscillation reflect the neural basis of individual differences in epistemic motivation},
  series = {Scientific Reports},
  volume    = {6},
  journal   = {Scientific Reports},
  doi       = {10.1038/srep29245},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-146957},
  pages     = {29245},
  year      = {2016},
  abstract  = {Theta oscillations in the EEG have been shown to reflect ongoing cognitive processes related to mental effort. Here, we show that the pattern of theta oscillation in response to varying cognitive demands reflects stable individual differences in the personality trait epistemic motivation: Individuals with high levels of epistemic motivation recruit relatively more cognitive resources in response to situations possessing high, compared to low, cognitive demand; individuals with low levels do not show such a specific response. Our results provide direct evidence for the theory of the construct need for cognition and add to our understanding of the neural processes underlying theta oscillations. More generally, we provide an explanation how individual differences in personality traits might be represented on a neural level.},
  language  = {en}
}
@article{RodriguesWeissHewigetal.2021,
  author    = {Rodrigues, Johannes and Weiß, Martin and Hewig, Johannes and Allen, John J. B.},
  title     = {EPOS: EEG Processing Open-Source Scripts},
  series = {Frontiers in Neuroscience},
  volume    = {15},
  journal   = {Frontiers in Neuroscience},
  issn      = {1662-453X},
  doi       = {10.3389/fnins.2021.660449},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-240221},
  year      = {2021},
  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.},
  language  = {en}
}