Evidence map›Paper›PMID 30131582›Full record

ArticleScientific reports2018

Perceptual Expectations of Object Stimuli Modulate Repetition Suppression in a Delayed Repetition Design.

Lisa Kronbichler, Sarah Said-Yürekli, Martin Kronbichler

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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. Recent Visual Experience Reshapes V4 Neuronal Activity and Improves Perceptual Performance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

3 authors.

Lisa KronbichlerCentre for Cognitive Neuroscience and Department of Psychology, University of Salzburg, Salzburg, Austria. lisa.kronbichler@sbg.ac.at.
Sarah Said-YürekliCentre for Cognitive Neuroscience and Department of Psychology, University of Salzburg, Salzburg, Austria.
Martin KronbichlerCentre for Cognitive Neuroscience and Department of Psychology, University of Salzburg, Salzburg, Austria.

Funding

Austrian Science Fund (FWF Der Wissenschaftsfonds) P 23219-B18
6 · The paper itself

Abstract

Several fMRI and EEG/MEG studies show that repetition suppression (RS) effects are stronger when a stimulus repetition is expected compared to when a stimulus repetition is less expected. To date, the prevalent way to assess the influence of expectations on RS is via immediate stimulus repetition designs, that is, no intervening stimuli appear between the initial and repeated presentation of a stimulus. Since there is evidence that repetition lag may alter RS effects in a qualitative manner, the current study investigated how perceptual expectations modify RS effects on object stimuli when repetition lag is relatively long. Region of interest analyses in the left occipital cortex revealed a similar activation pattern as identified in previous studies on immediate lag: RS effects were strongest when repetitions were expected compared to decreased RS effects when repetitions were less expected. Therefore, the current study expands previous research in two ways: First, we replicate prior studies showing that perceptual expectation effects can be observed in object-sensitive occipital areas. Second, the finding that expectation effects can be found even for several-minute lags proposes that Bayesian inference processes are a relatively robust component in visual stimulus processing.

Indexed as

AdolescentAdultBayes TheoremFemaleHumansMagnetic Resonance ImagingMaleMotivationOccipital LobeReaction TimeVisual PerceptionYoung Adult

Identifiers

PMID30131582
PMCPMC6104074

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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.