Bring a map when exploring the ERP data processing multiverse: A commentary on Clayson et al. 2021.

EEG ERPs Electroencephalography Error positivity Error-related negativity Event-related potentials Multiverse analyses

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 10 2022
Historique:
received: 03 04 2022
revised: 30 05 2022
accepted: 01 07 2022
pubmed: 7 7 2022
medline: 20 7 2022
entrez: 6 7 2022
Statut: ppublish

Résumé

Clayson et al. (2021) describe an innovative multiverse analysis to evaluate effects of data processing choices on event-related potential (ERP) measures. Based on their results, they provide data processing recommendations for studies measuring the error-related negativity and error positivity components. We argue that, although their data-driven approach is useful for identifying how data processing choices influence ERP results, it is not sufficient for devising optimal data processing pipelines. As an example, we focus on the inappropriate use of pre-response ERP baselines in their analyses, which leads to biased error positivity amplitude measures. Results of multiverse analyses should be supplemented with further investigation into why differences in ERP results occur across data processing choices before devising general recommendations.

Identifiants

pubmed: 35792288
pii: S1053-8119(22)00560-2
doi: 10.1016/j.neuroimage.2022.119443
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

119443

Commentaires et corrections

Type : CommentOn

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Daniel Feuerriegel (D)

Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia. Electronic address: dfeuerriegel@unimelb.edu.au.

Stefan Bode (S)

Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.

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Classifications MeSH