Evidence map›Paper›PMID 40514242›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Attentional Precursors of Errors Predict Error-Related Brain Activity.

Martin E Maier, Marco Steinhauser

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Martin E MaierCatholic University of Eichstätt-Ingolstadt, Eichstätt D-85072, Germany martin.maier@ku.de.ORCID 0000-0003-4995-377X
Marco SteinhauserCatholic University of Eichstätt-Ingolstadt, Eichstätt D-85072, Germany.ORCID 0000-0001-6800-6036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The error negativity or error-related negativity (Ne/ERN), a correlate of errors in choice tasks, is related to posterror adjustments indicating that it signals the need for behavioral adjustments following errors. However, little is known about how the error monitoring system selects appropriate posterror adjustments for a given error to ensure that future errors are effectively prevented. This could be achieved by monitoring error precursors indicating potential error sources and then scaling the Ne/ERN according to the strength of the error precursor upon error occurrence. We isolated such an error precursor in alpha oscillations and tested whether it predicts the size of the Ne/ERN. A total of 28 participants (23 female, 5 male) had to classify a target in one hemifield but ignore a distractor in the opposite hemifield. Because responding to the distractor always led to an error, misallocating spatial attention to the distractor as reflected in posterior alpha was a viable error precursor in this paradigm. We found that an alpha asymmetry reversal indicated a shift of spatial attention to the distractor on error trials and predicted the Ne/ERN on a single-trial level. The Ne/ERN in turn predicted alpha asymmetry on the next trial indicating a shift of spatial attention away from the distractor. This is consistent with the idea that the error monitoring system scales the Ne/ERN according to the strength of error precursors to select appropriate posterror adjustments of behavior.

Indexed as

AttentionBrainPsychomotor PerformanceAdultElectroencephalographyEvoked PotentialsFemaleHumansMalePhotic StimulationPredictive Value of TestsReaction TimeYoung Adultalpha asymmetryerror monitoringerror-related negativityspatial attention

Identifiers

PMID40514242
PMCPMC12244321

What OpenQuestion holds

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Registered trials

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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.