Evidence map›Paper›PMID 41812239›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2026

The representation of speech conversations in the human auditory cortex: role of social and semantic factors.

Etienne Abassi, Robert J Zatorre

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2026. 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

2 authors.

Etienne AbassiThe Neuro (Montreal Neurological Institute-Hospital), Mcgill University, 3801 Rue University, Montreal, QC H3A 2B4, Canada.ORCID 0000-0003-4235-0001
Robert J ZatorreThe Neuro (Montreal Neurological Institute-Hospital), Mcgill University, 3801 Rue University, Montreal, QC H3A 2B4, Canada.

Funding

Canadian Institutes for Health ResearchFondation Pour l'Audition FPA RD-2022-1
6 · The paper itself

Abstract

Human social nature has shaped auditory perception, as hearing is essential for navigating social interactions, especially when listening to others' conversations. While much research has examined how the brain processes isolated words or sentences, far less is known about how broader social and semantic contexts influence speech comprehension. We used 7 T fMRI to examine neural responses while participants listened to two-speaker dialogues versus single-speaker monologues, presented either in intact or sentence-scrambled order. Twenty-four healthy young adults listened to AI-generated five-sentence conversations designed to independently manipulate social (dialogue vs. monologue) and semantic (intact vs. sentence-scrambled) contexts. Whole-brain univariate analyses revealed increased activity for scrambled compared to intact conversations in the left superior temporal sulcus (STS), consistent with predictive-coding models. Although social context alone showed no main effect, an interaction emerged: semantic disruption elicited stronger responses in dialogues than monologues within the STS. Multivariate pattern analyses further revealed higher classification accuracy of individual sentences within dialogues vs. monologues, particularly in the left anterior STS and inferior frontal gyrus, suggesting that social context enhances linguistic encoding. Together, these findings indicate that the left STS integrates both semantic and social information, supporting predictive and context-sensitive mechanisms crucial for real-world verbal communication.

Indexed as

Auditory CortexSemanticsSpeechSpeech PerceptionAcoustic StimulationAdultBrain MappingComprehensionFemaleHumansMagnetic Resonance ImagingMaleYoung AdultfMRIpredictive codingsemantic contextsocial contextspeech perception

Identifiers

PMID41812239
PMCPMC13016725

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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.