Evidence map›Paper›PMID 36801825›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2023

Statistical Learning of Distractor Suppression Downregulates Prestimulus Neural Excitability in Early Visual Cortex.

Oscar Ferrante, Alexander Zhigalov, Clayton Hickey, Ole Jensen

Open access · greenAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
13.4field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
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  5. Predictive Distractor Processing Relies on Integrated Proactive and Reactive Attentional Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Contents of Visual Predictions Oscillate at Alpha Frequencies.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Article
  8. Learning Modulates Early Encephalographic Responses to Distracting Stimuli: A Combined SSVEP and ERP Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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  12. Review
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  18. Review
  19. Separate Cue- and Alpha-Related Mechanisms for Distractor Suppression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  20. Spatial transfer of object-based statistical learning.Attention, perception & psychophysics · 2024
    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

4 authors at 1 institution in 1 country.

Oscar FerranteCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, United Kingdom o.jensen@bham.ac.uk o.ferrante@bham.ac.uk.ORCID 0000-0001-6869-7041
Alexander ZhigalovCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Clayton HickeyCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, United Kingdom.ORCID 0000-0002-4162-5643
Ole JensenCentre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, United Kingdom o.jensen@bham.ac.uk o.ferrante@bham.ac.uk.ORCID 0000-0001-8193-8348
University of Birmingham · GB

Funding

Wellcome Trust 207550Wellcome Trust 207550/Z/17/Z
6 · The paper itself

Abstract

Visual attention is highly influenced by past experiences. Recent behavioral research has shown that expectations about the spatial location of distractors within a search array are implicitly learned, with expected distractors becoming less interfering. Little is known about the neural mechanism supporting this form of statistical learning. Here, we used magnetoencephalography (MEG) to measure human brain activity to test whether proactive mechanisms are involved in the statistical learning of distractor locations. Specifically, we used a new technique called rapid invisible frequency tagging (RIFT) to assess neural excitability in early visual cortex during statistical learning of distractor suppression while concurrently investigating the modulation of posterior alpha band activity (8-12 Hz). Male and female human participants performed a visual search task in which a target was occasionally presented alongside a color-singleton distractor. Unbeknown to the participants, the distracting stimuli were presented with different probabilities across the two hemifields. RIFT analysis showed that early visual cortex exhibited reduced neural excitability in the prestimulus interval at retinotopic locations associated with higher distractor probabilities. In contrast, we did not find any evidence of expectation-driven distractor suppression in alpha band activity. These findings indicate that proactive mechanisms of attention are involved in predictive distractor suppression and that these mechanisms are associated with altered neural excitability in early visual cortex. Moreover, our findings indicate that RIFT and alpha band activity might subtend different and possibly independent attentional mechanisms.

Indexed as

LearningVisual CortexFemaleHumansMagnetoencephalographyMaleNeuronsProbabilityReaction TimeVisual Perceptionalpha rhythmdistractor suppressionfrequency taggingmagnetoencephalographystatistical learningvisual attention

Identifiers

PMID36801825
PMCPMC10039740
OpenAlexW4321186568

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.