Good scientific practice in EEG and MEG research: Progress and perspectives

Guiomar Niso, Laurens Krol, Etienne Combrisson, Anne-Sophie Dubarry, Madison Elliott, Clément François, Yseult Héjja-Brichard, Sophie Herbst, Karim Jerbi, Vanja Kovic, Katia Lehongre, Steven Luck, Manuel Mercier, John Mosher, Yuri Pavlov, Aina Puce, Antonio Schettino, Daniele Schön, Walter Sinnott-Armstrong, Bertille SomonAnđela Šoškić, Suzy Styles, Roni Tibon, Martina Vilas, Marijn van Vliet, Maximilien Chaumon*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
21 Downloads (Pure)

Abstract

Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, and guidelines that help scientists to produce work that is of the highest quality at any given time, and to efficiently share that work with the community for further scrutiny or utilization. For experimental research using magneto- and electroencephalography (MEEG), GSP includes specific standards and guidelines for technical competence, which are periodically updated and adapted to new findings. However, GSP also needs to be regularly revisited in a broader light. At the LiveMEEG 2020 conference, a reflection on GSP was fostered that included explicitly documented guidelines and technical advances, but also emphasized intangible GSP: a general awareness of personal, organizational, and societal realities and how they can influence MEEG research. This article provides an extensive report on most of the LiveMEEG contributions and new literature, with the additional aim to synthesize ongoing cultural changes in GSP. It first covers GSP with respect to cognitive biases and logical fallacies, pre-registration as a tool to avoid those and other early pitfalls, and a number of resources to enable collaborative and reproducible research as a general approach to minimize misconceptions. Second, it covers GSP with respect to data acquisition, analysis, reporting, and sharing, including new tools and frameworks to support collaborative work. Finally, GSP is considered in light of ethical implications of MEEG research and the resulting responsibility that scientists have to engage with societal challenges. Considering among other things the benefits of peer review and open access at all stages, the need to coordinate larger international projects, the complexity of MEEG subject matter, and today's prioritization of fairness, privacy, and the environment, we find that current GSP tends to favor collective and cooperative work, for both scientific and for societal reasons.

Original languageEnglish
Article number119056
Number of pages29
JournalNeuroImage
Volume257
Early online date10 Mar 2022
DOIs
Publication statusPublished - 15 Aug 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • EEG
  • MEG
  • Open Science
  • Good practise

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