Evidence map›Paper›PMID 40436962›Full record

ArticleScientific reports2025

Attention and stimulus structure interact during ensemble encoding of facial expression.

Marco A Sama, Moaz Shoura, Adrian Nestor, Jonathan S Cant

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marco A SamaDepartment of Psychology, University of Toronto Scarborough, Toronto, ON, Canada. marco.sama@mail.utoronto.ca.
Moaz ShouraDepartment of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
Adrian Nestor *Department of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
Jonathan S Cant *Department of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2023-03592
6 · The paper itself

Abstract

Face ensemble encoding involves synthesizing summary information from groups of faces, providing a mechanism to overcome limitations in visual working memory. Yet, research on the role of attention has revealed mixed findings. Also, the simultaneous processing of summary representations and individual faces within an ensemble remains largely unexplored. Here, across three experiments, participants viewed ensembles without a central face (n = 32), or with a central face, while attention was distributed across the entire ensemble (n = 38) or focused centrally (n = 38). Critically, the consistency of center and surround faces varied as a function of emotional valence (i.e., same versus opposite). Participants completed an expression similarity-rating task between an ensemble and a single face, which was used to recover, via image reconstruction, visual estimates of summary representations. Reconstructions were then assessed against central faces, surrounding faces, and their averages. We show that focused attention enhances central face representation and that consistency benefits the representation of both the center and of the surround. However, central faces outweigh the overall surround representation only when attention is focused on a center face inconsistent with its surround. These findings reveal a flexible relationship between attention and stimulus structure in ensemble perception.

Indexed as

AttentionFacial ExpressionFacial RecognitionAdultEmotionsFemaleHumansMalePattern Recognition, VisualPhotic StimulationVisual PerceptionYoung AdultAttentionEnsemble encodingFace perceptionFacial expressionImage reconstruction

Identifiers

PMID40436962
PMCPMC12119797

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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.