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

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

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Guiomar Niso

Laurens R. Krol

Etienne Combrisson

A.-Sophie Dubarry

Madison A. Elliott

Clément François

Yseult Héjja-Brichard

Sophie K. Herbst

Karim Jerbi

Vanja Kovic

Katia Lehongre

Steven J. Luck

Manuel Mercier

John C. Mosher

Yuri G. Pavlov

Aina Puce

Antonio Schettino

Daniele Schön

Walter Sinnott-Armstrong

Bertille Somon

Anđela Šoškić

Suzy J. Styles

Assistant Professor in Psychology

Martina G. Vilas

Marijn van Vliet

Maximilien Chaumon


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.


Niso, G., Krol, L. R., Combrisson, E., Dubarry, A., Elliott, M. A., François, C., …Chaumon, M. (2022). Good scientific practice in EEG and MEG research: Progress and perspectives. NeuroImage, 257, Article 119056.

Journal Article Type Review
Acceptance Date Mar 1, 2022
Online Publication Date Mar 10, 2022
Publication Date Aug 15, 2022
Deposit Date May 4, 2022
Publicly Available Date May 12, 2022
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1095-9572
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 257
Article Number 119056
Keywords Cognitive Neuroscience; Neurology
Public URL
Publisher URL


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