Evidence map›Paper›PMID 36755038›Full record

ArticleScientific reports2023

Larger error negativity peak amplitudes for accuracy versus speed instructions may reflect more neuro-cognitive alignment, not more intense error processing.

André Mattes, Elisa Porth, Eva Niessen, Kilian Kummer, Markus Mück, Jutta Stahl

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

André MattesDepartment of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Köln, Germany. andre.mattes@uni-koeln.de.
Elisa PorthDepartment of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Köln, Germany.
Eva NiessenDepartment of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Köln, Germany.
Kilian KummerDepartment of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Köln, Germany.
Markus MückDepartment of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Köln, Germany.
Jutta StahlDepartment of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Köln, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding human error processing is a highly relevant interdisciplinary goal. More than 30 years of research in this field have established the error negativity (Ne) as a fundamental electrophysiological marker of various types of erroneous decisions (e.g. perceptual, economic) and related clinically relevant variations. A common finding is that the Ne is more pronounced when participants are instructed to focus on response accuracy rather than response speed, an observation that has been interpreted as reflecting more thorough error processing. We challenge this wide-spread interpretation by demonstrating that when controlling for the level of non-event-related noise in the participant-average waveform and for single-trial peak latency variability, the significant speed-accuracy difference in the participant-average waveform vanishes. This suggests that the previously reported Ne differences may be mostly attributable to a more precise alignment of neuro-cognitive processes and not (only) to more intense error processing under accuracy instructions, opening up novel perspectives on previous findings.

Indexed as

ElectroencephalographyNoiseCognitionEvoked PotentialsHumansMotivationPsychomotor PerformanceReaction Time

Identifiers

PMID36755038
PMCPMC9908975

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.