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Название: Good scientific practice in EEG and MEG research: Progress and perspectives
Авторы: Niso, G.
Krol, L. R.
Combrisson, E.
Dubarry, A. S.
Elliott, M. A.
François, C.
Héjja-Brichard, Y.
Herbst, S. K.
Jerbi, K.
Kovic, V.
Lehongre, K.
Luck, S. J.
Mercier, M.
Mosher, J. C.
Pavlov, Y. G.
Puce, A.
Schettino, A.
Schön, D.
Sinnott-Armstrong, W.
Somon, B.
Šoškić, A.
Styles, S. J.
Tibon, R.
Vilas, M. G.
van Vliet, M.
Chaumon, M.
Дата публикации: 2022
Издатель: Academic Press Inc.
Библиографическое описание: Good scientific practice in EEG and MEG research: Progress and perspectives / G. Niso, L. R. Krol, E. Combrisson et al. // NeuroImage. — 2022. — Vol. 257. — 119056.
Аннотация: 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. © 2022
Ключевые слова: ELECTROENCEPHALOGRAPHY (EEG)
GOOD SCIENTIFIC PRACTICE
MAGNETOENCEPHALOGRAPHY (MEG)
ARTICLE
AWARENESS
COGNITIVE BIAS
ELECTROENCEPHALOGRAM
ELECTROENCEPHALOGRAPHY
HUMAN
HUMAN EXPERIMENT
MAGNETOENCEPHALOGRAPHY
PEER REVIEW
PRACTICE GUIDELINE
PRIVACY
RESPONSIBILITY
ELECTROENCEPHALOGRAPHY
ELECTROENCEPHALOGRAPHY
HUMANS
URI: http://elar.urfu.ru/handle/10995/118117
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85131458696
Идентификатор WOS: 000816249300004
Идентификатор PURE: 30528971
ISSN: 10538119
DOI: 10.1016/j.neuroimage.2022.119056
Сведения о поддержке: ANR-20-CE28–0017; PID2020–119458RJ-I00; ANR-20-NEUC-0004–01, R01 EB030896; National Institutes of Health, NIH: R01EB026299; National Institute of Mental Health, NIMH: R01MH087450, R25MH080794; National Institute of Biomedical Imaging and Bioengineering, NIBIB; John Templeton Foundation, JTF; British Academy: SUAI/028 RG94188 pf170046; AXA Research Fund, AXA; Russian Foundation for Basic Research, РФФИ: 1,901,300,027; University of British Columbia, UBC
GN was supported by Spanish Government through grant PID2020–119458RJ-I00 and by the AXA Research Fund; MAE was supported by UBC 4YF; SJL was supported by National Institute of Mental Health (R25MH080794 and R01MH087450); JCM was supported in part by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health (NIH) under award number R01EB026299; YGP was supported by Russian Foundation for Basic Research (RFBR) #1,901,300,027; AP, GN and MS are supported by an NIH CRCNS: US-France Data Sharing Proposal (NIBIB (USA) R01 EB030896 and ANR-20-NEUC-0004–01); AS is employed as Coordinator Open Science at Erasmus Research Services (Erasmus University Rotterdam); WSA was supported by the John Templeton Foundation; BS was supported by The Artificial and Natural Intelligence Toulouse Institute; RT was supported by British Academy Postdoctoral Fellowship (SUAI/028 RG94188 pf170046); MC was supported by Program Investissements d'avenir ANR - 10 - IAIHU - 06; CF was supported by an ANR-20-CE28–0017.
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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