Good scientific practice in EEG and MEG research: Progress and perspectives
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 experimenta...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922001859 |
| _version_ | 1828796778247356416 |
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| author | 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 Roni Tibon Martina G. Vilas Marijn van Vliet Maximilien Chaumon |
| author_facet | 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 Roni Tibon Martina G. Vilas Marijn van Vliet Maximilien Chaumon |
| author_sort | Guiomar Niso |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T04:28:52Z |
| format | Article |
| id | doaj.art-28f54f8cdd2b42fd93b2e43f4b41e13d |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-12T04:28:52Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-28f54f8cdd2b42fd93b2e43f4b41e13d2022-12-22T00:38:07ZengElsevierNeuroImage1095-95722022-08-01257119056Good scientific practice in EEG and MEG research: Progress and perspectivesGuiomar Niso0Laurens R. Krol1Etienne Combrisson2A. Sophie Dubarry3Madison A. Elliott4Clément François5Yseult Héjja-Brichard6Sophie K. Herbst7Karim Jerbi8Vanja Kovic9Katia Lehongre10Steven J. Luck11Manuel Mercier12John C. Mosher13Yuri G. Pavlov14Aina Puce15Antonio Schettino16Daniele Schön17Walter Sinnott-Armstrong18Bertille Somon19Anđela Šoškić20Suzy J. Styles21Roni Tibon22Martina G. Vilas23Marijn van Vliet24Maximilien Chaumon25Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA; Universidad Politecnica de Madrid and CIBER-BBN, Madrid, SpainNeuroadaptive Human-Computer Interaction, Brandenburg University of Technology Cottbus-Senftenberg, GermanyAix-Marseille University, Institut de Neurosciences de la Timone, FranceCNRS, LPL, Aix-Marseille University, Aix-en-Provence, FranceThe University of British Columbia, CanadaCNRS, LPL, Aix-Marseille University, Aix-en-Provence, FranceCentre d'Ecologie Fonctionnelle et Evolutive, CNRS, EPHE, IRD, Université Montpellier, Montpellier, FranceCognitive Neuroimaging Unit, INSERM, CEA, CNRS, NeuroSpin center, Université Paris-Saclay, Gif/Yvette, FranceCognitive and Computational Neuroscience Laboratory, Department of Psychology, University of Montreal, Montreal, QC, Canada; Mila - Quebec Artificial Intelligence Institute, CanadaFaculty of Philosophy, Laboratory for neurocognition and applied cognition, University of Belgrade, SerbiaInstitut 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.Center for Mind & Brain, University of California, Davis, CA, USAAix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, FranceMcGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USAUniversity of Tuebingen, Germany; Ural Federal University, Yekaterinburg, RussiaPsychological & Brain Sciences, Indiana University, Bloomington, IN, USAErasmus University Rotterdam, Rotterdam, the Netherland; Institute for Globally Distributed Open Research and Education (IGDORE), SwedenAix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, FranceDuke University, USAISAE-SUPAERO, Université de Toulouse, FranceFaculty of Philosophy, Laboratory for neurocognition and applied cognition, University of Belgrade, Serbia; Teacher Education Faculty, University of Belgrade, SerbiaPsychology, Nanyang Technological University, Singapore; Singapore Institute for Clinical Sciences, A*STAR, SingaporeMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK; School of Psychology, University of Nottingham, Nottingham, UKErnst Strüngmann Institute for Neuroscience, Frankfurt am Main, GermanyAalto University, FinlandInstitut 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.; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S1053811922001859Magnetoencephalography (MEG)Electroencephalography (EEG)Good scientific practice |
| spellingShingle | 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 Roni Tibon Martina G. Vilas Marijn van Vliet Maximilien Chaumon Good scientific practice in EEG and MEG research: Progress and perspectives NeuroImage Magnetoencephalography (MEG) Electroencephalography (EEG) Good scientific practice |
| title | Good scientific practice in EEG and MEG research: Progress and perspectives |
| title_full | Good scientific practice in EEG and MEG research: Progress and perspectives |
| title_fullStr | Good scientific practice in EEG and MEG research: Progress and perspectives |
| title_full_unstemmed | Good scientific practice in EEG and MEG research: Progress and perspectives |
| title_short | Good scientific practice in EEG and MEG research: Progress and perspectives |
| title_sort | good scientific practice in eeg and meg research progress and perspectives |
| topic | Magnetoencephalography (MEG) Electroencephalography (EEG) Good scientific practice |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922001859 |
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