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EEGManyPipelines: A Large-scale, Grassroots Multi-analyst Study of Electroencephalography Analysis Practices in the Wild

  • Darinka Trübutschek*
  • , Yu-Fang Yang
  • , Claudia Gianelli
  • , Elena Cesnaite
  • , Nastassja L Fischer
  • , Mikkel C Vinding
  • , Tom R Marshall
  • , Johannes Algermissen
  • , Annalisa Pascarella
  • , Tuomas Puoliväli
  • , Andrea Vitale
  • , Niko A Busch
  • , Gustav Nilsonne
  • *Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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sixty-eight analyst teams, encompassing 396 individual researchers from 37 countries, independently analyzed the same unpublished, representative EEG data set to test the same set of predefined hypotheses and then provided their analysis pipelines and reported outcomes.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.

Original languageEnglish
Pages (from-to)217-224
Number of pages8
JournalJournal of cognitive neuroscience
Volume36
Issue number2
DOIs
Publication statusPublished - 1 Feb 2024
Externally publishedYes

Keywords

  • Humans
  • Reproducibility of Results
  • Electroencephalography
  • Research Design

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