Evidence map›Paper›PMID 40465416›Full record

ArticleSocial cognitive and affective neuroscience2025

Social brain responses to natural scene images of social interactions.

Ilona Martynenko, Kami Koldewyn, Paul E Downing

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

Ilona MartynenkoInstitute of Cognitive Science, University of Osnabrück, Osnabrück, 49069, Germany.
Kami KoldewynDepartment of Psychology, Bangor University, Bangor, LL572AS, United Kingdom.
Paul E DowningDepartment of Psychology, Bangor University, Bangor, LL572AS, United Kingdom.ORCID 0000-0002-5046-2858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research reveals that human occipitotemporal 'social brain' regions that are selective for images of individual faces and bodies are also sensitive to visual cues of social interaction. Earlier studies mainly contrasted observing dyadic interactions with non-interactive controls, emphasizing the interacting/non-interacting distinction to observers, and lacking the variety seen in natural settings. To address these limitations, we analysed a 7 T fMRI data set in which participants viewed many naturalistic images while performing a memory task. We focused on 182 scenes containing at least two individuals, and used localizers to identify face- and body-selective regions of interest (ROIs). Brain responses to each image were measured, and the depiction of social interaction was rated by independent observers. Control measures were gathered, per image, for the number of people, their surface area and distribution, and their implied animatedness. Linear and generalized additive modelling revealed that social interaction predicted a greater BOLD response in all ROIs, beyond the effects of the control variables. Face- and body-selective regions in both hemispheres showed heightened sensitivity to social interaction in natural scenes, even during an orthogonal task. These findings expand our understanding of 'social vision' areas beyond individual person perception to include multi-person social interactions.

Indexed as

BrainPattern Recognition, VisualSocial InteractionSocial PerceptionVisual PerceptionAdultBrain MappingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleOxygenPhotic StimulationYoung AdultOxygenbody perceptionfunctional neuroimagingoccipitotemporal cortexperson perceptionsocial interaction

Identifiers

PMID40465416
PMCPMC12342172

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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.