Evidence map›Paper›PMID 30341623›Full record

ArticleCognitive, affective & behavioral neuroscience2019

Spatial attention affects the early processing of neutral versus fearful faces when they are task-irrelevant: a classifier study of the EEG C1 component.

David Acunzo, Graham MacKenzie, Mark C W van Rossum

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In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Getting to Know You: Emerging Neural Representations during Face Familiarization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
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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.

David AcunzoCIMeC/University of Trento, Corso Bettini, 31, 38068, Rovereto, TN, Italy. contact@davidacunzo.net.
Graham MacKenziePsychology, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK.
Mark C W van RossumSchool of Psychology and School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/F529254/1Medical Research Council
6 · The paper itself

Abstract

EEG studies suggest that the emotional content of visual stimuli is processed rapidly. In particular, the C1 component, which occurs up to 100 ms after stimulus onset and likely reflects activity in primary visual cortex V1, has been reported to be sensitive to emotional faces. However, difficulties replicating these results have been reported. We hypothesized that the nature of the task and attentional condition are key to reconcile the conflicting findings. We report three experiments of EEG activity during the C1 time range elicited by peripherally presented neutral and fearful faces under various attentional conditions: the faces were spatially attended or unattended and were either task-relevant or not. Using traditional event-related potential analysis, we found that the early activity changed depending on facial expression, attentional condition, and task. In addition, we trained classifiers to discriminate the different conditions from the EEG signals. Although the classifiers were not able to discriminate between facial expressions in any condition, they uncovered differences between spatially attended and unattended faces but solely when these were task-irrelevant. In addition, this effect was only present for neutral faces. Our study provides further indication that attention and task are key parameters when measuring early differences between emotional and neutral visual stimuli.

Indexed as

AdultAttentionElectroencephalographyEmotionsEvoked PotentialsFacial ExpressionFearFemaleHumansMalePhotic StimulationVisual PerceptionYoung AdultAttentionC1 componentClassifiersEEGFacial expressionMVPA

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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.