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  Comparing the error‐related negativity across groups: The impact of error‐ and trial‐number differences

Fischer, A. G., Klein, T. A., & Ullsperger, M. (2017). Comparing the error‐related negativity across groups: The impact of error‐ and trial‐number differences. Psychophysiology, 54(7), 998-1009. doi:10.1111/psyp.12863.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-A757-E Version Permalink: http://hdl.handle.net/21.11116/0000-0004-D840-0
Genre: Journal Article

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 Creators:
Fischer, Adrian G.1, 2, Author
Klein, Tilmann A.1, 3, 4, Author              
Ullsperger, Markus1, 2, Author
Affiliations:
1Institute of Psychology, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
2Center for Behavioral Brain Sciences, Magdeburg, Germany, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              
4Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              

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Free keywords: EEG; ERN; Action monitoring; Middle-age adults; Performance monitoring
 Abstract: The error-related negativity (ERN or Ne) is increasingly being investigated as a marker discriminating interindividual factors and moves toward a surrogate marker for disorders or interventions. Although reproducibility and validity of neuroscientific and psychological research has been criticized, clear data on how different quantification methods of the ERN and their relation to available trial numbers affect within- and across-participant studies is sparse. Within a large sample of 863 healthy human participants, we demonstrate that, across participants, the number of errors correlates with the amplitude of the ERN independently of the number of errors included in ERN quantification per participant, constituting a possible confound when such variance is unaccounted for. Additionally, we find that ERN amplitudes reach high consistency within participants at lower trial numbers, yet when comparisons between groups of participants are desired, increasing error-trial numbers lead to higher statistical power. We derive concrete suggestions for specific types of analyses, which may help researchers to more effectively design studies and analyze error-related EEG data with the most appropriate measurement technique for the question at hand and trial number available.

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Language(s): eng - English
 Dates: 2017-02-072016-10-202017-02-192017-06-082017-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1111/psyp.12863
PMID: 28369880
Other: Epub 2017
 Degree: -

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Project name : -
Grant ID : KL 2337/2‐1
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG)
Project name : -
Grant ID : SAS‐2015‐LIN‐LWC
Funding program : -
Funding organization : CBBS ScienceCampus - Leibniz Association

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Title: Psychophysiology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY [etc.] : Blackwell Publishing Inc. [etc.]
Pages: - Volume / Issue: 54 (7) Sequence Number: - Start / End Page: 998 - 1009 Identifier: ISSN: 0048-5772
CoNE: https://pure.mpg.de/cone/journals/resource/954925334698