Evidence map›Paper›PMID 34570779›Full record

ArticlePloS one2021

Post-interval EEG activity is related to task-goals in temporal discrimination.

Fernanda Dantas Bueno, André Mascioli Cravo

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Motor Preparation Tracks Decision Boundary Crossing Rather Than Accumulated Evidence in Temporal Decision-Making.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  4. Article
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  10. Article
  11. Post-interval potentials in temporal judgements.Experimental brain research · 2023
    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.

Fernanda Dantas BuenoCenter for Mathematics, Computing and Cognition Universidade Federal do ABC (UFABC), São Bernardo do Campo, SP, Brazil.
André Mascioli CravoCenter for Mathematics, Computing and Cognition Universidade Federal do ABC (UFABC), São Bernardo do Campo, SP, Brazil.ORCID 0000-0002-8580-5697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies investigating the neural mechanisms of time perception often measure brain activity while participants perform a temporal task. However, several of these studies are based exclusively on tasks in which time is relevant, making it hard to dissociate activity related to decisions about time from other task-related patterns. In the present study, human participants performed a temporal or color discrimination task of visual stimuli. Participants were informed which magnitude they would have to judge before or after presenting the two stimuli (S1 and S2) in different blocks. Our behavioral results showed, as expected, that performance was better when participants knew beforehand which magnitude they would judge. Electrophysiological data (EEG) was analysed using Linear Discriminant Contrasts (LDC) and a Representational Similarity Analysis (RSA) approach to investigate whether and when information about time and color was encoded. During the presentation of S1, we did not find consistent differences in EEG activity as a function of the task. On the other hand, during S2, we found that temporal and color information was encoded in a task-relevant manner. Taken together, our results suggest that task goals strongly modulate decision-related information in EEG activity.

Indexed as

GoalsAdultBehaviorDecision MakingDiscriminant AnalysisElectrodesElectroencephalographyElectrophysiologyFemaleHumansLinear ModelsMaleMultivariate AnalysisPattern Recognition, AutomatedPhotic StimulationReaction Time

Identifiers

PMID34570779
PMCPMC8476012

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.