Article Dans Une Revue NeuroImage Année : 2022

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

1 Indiana University [Bloomington]
2 UPM - Universidad Politécnica de Madrid
3 BTU - Brandenburg University of Technology [Cottbus – Senftenberg]
4 INT - Institut de Neurosciences de la Timone
5 LPL - Laboratoire Parole et Langage
6 UBC - University of British Columbia [Canada]
7 ILCB - Institute of Language, Communication and the Brain
8 CNRS - Centre National de la Recherche Scientifique
9 AMU - Aix Marseille Université
10 CEFE - Centre d’Ecologie Fonctionnelle et Evolutive
11 UNICOG-U992 - Neuroimagerie cognitive - Psychologie cognitive expérimentale
12 UQAM - Université du Québec à Montréal = University of Québec in Montréal
13 University of Belgrade [Belgrade]
14 ICM - Institut du Cerveau = Paris Brain Institute
15 UC Davis - University of California [Davis]
16 INS - Institut de Neurosciences des Systèmes
17 UTHealth - The University of Texas Health Science Center at Houston
18 Eberhard Karls Universität Tübingen = University of Tübingen
19 UrFU - Ural Federal University [Ekaterinburg]
20 Erasmus University Rotterdam
21 IGDORE - Institute for Globally Distributed Open Research and Education
22 Duke University [Durham]
23 DTIS, ONERA [Salon-de-Provence]
24 ISAE-SUPAERO - Institut Supérieur de l'Aéronautique et de l'Espace
25 SICS - Singapore Institute for Clinical Sciences [Singapour]
26 UON - University of Nottingham, UK
27 CAM - University of Cambridge [Cambridge, UK]
28 ESI - Ernst Strüngmann Institute for Neuroscience in Cooperation
29 Aalto University
30 CENIR - Plateforme de neuroimagerie CENIR = Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris]
31 CHU Pitié-Salpêtrière [AP-HP]
Vanja Kovic
Walter Sinnott-Armstrong
Anđela Šoškić
Marijn van Vliet

Résumé

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.

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inserm-04886171 , version 1 (14-01-2025)

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Guiomar Niso, Laurens R Krol, Etienne Combrisson, A. Sophie Dubarry, Madison A Elliott, et al.. Good scientific practice in EEG and MEG research: Progress and perspectives. NeuroImage, 2022, 257, pp.119056. ⟨10.1016/j.neuroimage.2022.119056⟩. ⟨inserm-04886171⟩
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