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  EEGManyPipelines: A large-scale, grassroots multi-analyst study of electroencephalography analysis practices in the wild

Trübutschek, D., Yang, Y.-F., Gianelli, C., Cesnaite, E., Fischer, N. L., Vinding, M. C., et al. (2041). EEGManyPipelines: A large-scale, grassroots multi-analyst study of electroencephalography analysis practices in the wild. Journal of Cognitive Neuroscience, 36(2), 217-224. doi:10.1162/jocn_a_02087.

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ncc-24-tru-01-EEGManyPipelines.pdf (Publisher version), 550KB
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ncc-24-tru-01-EEGManyPipelines.pdf
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2024
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This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.

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 Creators:
Trübutschek, Darinka1, Author                 
Yang, Yu-Fang2, Author
Gianelli, Claudia3, Author
Cesnaite, Elena4, Author
Fischer, Nastassja L.5, Author
Vinding, Mikkel C.6, 7, Author
Marshall, Tom R.8, 9, Author
Algermissen, Johannes10, Author
Pascarella, Annalisa11, Author
Puoliväli, Tuomas12, Author
Vitale, Andrea13, Author
Busch, Niko A.4, Author
Nilsonne, Gustav7, 14, Author
Affiliations:
1Research Group Neural Circuits, Consciousness, and Cognition, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_3371719              
2Division of Experimental Psychology and Neuropsychology, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany, ou_persistent22              
3Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy , ou_persistent22              
4Institute of Psychology, University of Münster, Münster, Germany, ou_persistent22              
5Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore, ou_persistent22              
6Copenhagen University Hospital - Amager and Hvidovre , Copenhagen, Denmark, ou_persistent22              
7Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, ou_persistent22              
8Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom, ou_persistent22              
9Radboud University, Donders Institute for Brain, Cognition, and Behaviour, , Nijmegen, The Netherlands , ou_persistent22              
10Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom, ou_persistent22              
11Institute of Applied Mathematics “M. Picone”, National Council of Research , Rome, Italy, ou_persistent22              
12Faculty of Information Technology, University of Jyväskylä, Finland, ou_persistent22              
13Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy, ou_persistent22              
14Department of Psychology, Stockholm University, Stockholm, Sweden, ou_persistent22              

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 Abstract: The ongoing reproducibility crisis in psychology and cognitive neuroscience has sparked increasing calls to re-evaluate and reshape scientific culture and practices. Heeding those calls, we have recently launched the EEGManyPipelines project as a means to assess the robustness of EEG research in naturalistic conditions and experiment with an alternative model of conducting scientific research. One hundred sixty-eight analyst teams, encompassing 396 individual researchers from 37 countries, independently analyzed the same unpublished, representative EEG data set to test the same set of predefined hypotheses and then provided their analysis pipelines and reported outcomes. Here, we lay out how large-scale scientific projects can be set up in a grassroots, community-driven manner without a central organizing laboratory. We explain our recruitment strategy, our guidance for analysts, the eventual outputs of this project, and how it might have a lasting impact on the field.

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Language(s): eng - English
 Dates: 2041-02-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1162/jocn_a_02087
 Degree: -

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Title: Journal of Cognitive Neuroscience
Source Genre: Journal
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Publ. Info: Cambridge, MA : MIT Press Journals
Pages: - Volume / Issue: 36 (2) Sequence Number: - Start / End Page: 217 - 224 Identifier: ISSN: 0898-929X
CoNE: https://pure.mpg.de/cone/journals/resource/991042752752726