Evidence map›Paper›PMID 35283287›Full record

ArticleNeuroImage2022

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

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 and 16 more

Abstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. The Virtual Parkinsonian patient.NPJ systems biology and applications · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Rhythms in cognition: The evidence revisited.The European journal of neuroscience · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Guiomar NisoPsychological & Brain Sciences, Indiana University, Bloomington, IN, USA; Universidad Politecnica de Madrid and CIBER-BBN, Madrid, Spain.
Laurens R KrolNeuroadaptive Human-Computer Interaction, Brandenburg University of Technology Cottbus-Senftenberg, Germany.
Etienne CombrissonAix-Marseille University, Institut de Neurosciences de la Timone, France.
A Sophie DubarryCNRS, LPL, Aix-Marseille University, Aix-en-Provence, France.
Madison A ElliottThe University of British Columbia, Canada.
Clément FrançoisCNRS, LPL, Aix-Marseille University, Aix-en-Provence, France.
Yseult Héjja-BrichardCentre d'Ecologie Fonctionnelle et Evolutive, CNRS, EPHE, IRD, Université Montpellier, Montpellier, France.
Sophie K HerbstCognitive Neuroimaging Unit, INSERM, CEA, CNRS, NeuroSpin center, Université Paris-Saclay, Gif/Yvette, France.
Karim JerbiCognitive and Computational Neuroscience Laboratory, Department of Psychology, University of Montreal, Montreal, QC, Canada; Mila - Quebec Artificial Intelligence Institute, Canada.
Vanja KovicFaculty of Philosophy, Laboratory for neurocognition and applied cognition, University of Belgrade, Serbia.
Katia LehongreInstitut du Cerveau - Paris Brain Institute - ICM, Inserm U 1127, CNRS UMR 7225, APHP, Hôpital de la Pitié Salpêtrière, Sorbonne Université, Centre MEG-EEG, Centre de NeuroImagerie Recherche (CENIR), Paris, France.
Steven J LuckCenter for Mind & Brain, University of California, Davis, CA, USA.
Manuel MercierAix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, France.
John C MosherMcGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Yuri G PavlovUniversity of Tuebingen, Germany; Ural Federal University, Yekaterinburg, Russia.
Aina PucePsychological & Brain Sciences, Indiana University, Bloomington, IN, USA.
Antonio SchettinoErasmus University Rotterdam, Rotterdam, the Netherland; Institute for Globally Distributed Open Research and Education (IGDORE), Sweden.
Daniele SchönAix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, France.
Walter Sinnott-ArmstrongDuke University, USA.
Bertille SomonISAE-SUPAERO, Université de Toulouse, France.
Anđela ŠoškićFaculty of Philosophy, Laboratory for neurocognition and applied cognition, University of Belgrade, Serbia; Teacher Education Faculty, University of Belgrade, Serbia.
Suzy J StylesPsychology, Nanyang Technological University, Singapore; Singapore Institute for Clinical Sciences, A*STAR, Singapore.
Roni TibonMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK; School of Psychology, University of Nottingham, Nottingham, UK.
Martina G VilasErnst Strüngmann Institute for Neuroscience, Frankfurt am Main, Germany.
Marijn van VlietAalto University, Finland.
Maximilien ChaumonInstitut du Cerveau - Paris Brain Institute - ICM, Inserm U 1127, CNRS UMR 7225, APHP, Hôpital de la Pitié Salpêtrière, Sorbonne Université, Centre MEG-EEG, Centre de NeuroImagerie Recherche (CENIR), Paris, France.. Electronic address: maximilien.chaumon@icm-institute.org.

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
ERPLAB: Extensible, open source software for analysis of event-related potentialsR01MH087450 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LUCK, STEVEN J · 2010 to 2025
$2.7M
Yearly Workshop in the Event-Related Potential TechniqueR25MH080794 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Emily S. Kappenman, STEVEN J LUCK · 2007 to 2026
$2.6M
CRCNS: US-France Data Sharing Proposal: Open science & cloud computing of MEEGR01EB030896 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI PESTILLI, FRANCO, PUCE, AINA · 2020 to 2022
$651k
NIBIB NIH HHS R01 EB026299NIBIB NIH HHS R01 EB030896NIMH NIH HHS R01 MH087450NIMH NIH HHS R25 MH080794
6 · The paper itself

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.

Indexed as

ElectroencephalographyHumansElectroencephalography (EEG)Good scientific practiceMagnetoencephalography (MEG)

Identifiers

PMID35283287
PMCPMC11236277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.