Evidence map›Paper›PMID 38722755›Full record

ArticleSocial cognitive and affective neuroscience2024

Multidimensional neural representations of social features during movie viewing.

Haemy Lee Masson, Lucy Chang, Leyla Isik

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Haemy Lee MassonDepartment of Psychology, Durham University, Durham DH1 3LE, UK.ORCID 0000-0002-0804-9090
Lucy ChangDepartment of Cognitive Science, Johns Hopkins University, Baltimore 21218, USA.
Leyla IsikDepartment of Cognitive Science, Johns Hopkins University, Baltimore 21218, USA.

Funding

The Clare Boothe Luce Program for Women in STEM
6 · The paper itself

Abstract

The social world is dynamic and contextually embedded. Yet, most studies utilize simple stimuli that do not capture the complexity of everyday social episodes. To address this, we implemented a movie viewing paradigm and investigated how everyday social episodes are processed in the brain. Participants watched one of two movies during an MRI scan. Neural patterns from brain regions involved in social perception, mentalization, action observation and sensory processing were extracted. Representational similarity analysis results revealed that several labeled social features (including social interaction, mentalization, the actions of others, characters talking about themselves, talking about others and talking about objects) were represented in the superior temporal gyrus (STG) and middle temporal gyrus (MTG). The mentalization feature was also represented throughout the theory of mind network, and characters talking about others engaged the temporoparietal junction (TPJ), suggesting that listeners may spontaneously infer the mental state of those being talked about. In contrast, we did not observe the action representations in the frontoparietal regions of the action observation network. The current findings indicate that STG and MTG serve as key regions for social processing, and that listening to characters talk about others elicits spontaneous mental state inference in TPJ during natural movie viewing.

Indexed as

BrainBrain MappingMagnetic Resonance ImagingMotion PicturesSocial PerceptionTheory of MindAdultFemaleHumansMaleMentalizationPhotic StimulationYoung Adultaction observationnaturalistic fMRIrepresentational similarity analysissocial communicationsocial interaction perceptiontheory of mind

Identifiers

PMID38722755
PMCPMC11130526

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.