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Conversational content is organized across multiple timescales in the brain

Bibliographic Data

ID4696406
AuthorsMasahiro Yamashita (0000-0001-8184-4587, Ube Frontier University), Rieko Kubo (Tokyo Medical and Dental University), Shinji Nishimoto (0000-0001-8015-340X, National Institute of Information and Communications Technology, corresponding author)
Year2025
Volume9
Issue10
Pages2066-2078
Publication date2025-06-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNature Human Behaviour (JOURNAL)
Journal identifiersISSN: 2397-3374 • E-ISSN: 2397-3374
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1038/s41562-025-02231-4
PMID40500377
OpenAlexW4411216949
LanguageEN
References cited70

The evolution of conversation facilitates the exchange of intricate thoughts and emotions. The meaning is progressively constructed by integrating both produced and perceived speech into hierarchical linguistic structures across multiple timescales, including words, sentences and discourse. However, the neural mechanisms underlying these interactive sense-making processes remain largely unknown. Here we used functional magnetic resonance imaging to measure brain activity during hours of spontaneous conversations, modelling neural representations of conversational content using contextual embeddings derived from a large language model (GPT) at varying timescales. Our results reveal that linguistic representations are both shared and distinct between production and comprehension, distributed across various functional networks. Shared representations, predominantly localized within language-selective regions, were consistently observed at shorter timescales, corresponding to words and single sentences. By contrast, modality-specific representations exhibited opposing timescale selectivity: shorter for production and longer for comprehension, suggesting that distinct mechanisms are involved in contextual integration. These findings suggest that conversational meaning emerges from the interplay between shared linguistic codes and modality-specific temporal integration, facilitating context-dependent comprehension and adaptive speech production

Cognitive psychology · Natural language processing · Action Observation and Synchronization · Child and Animal Learning Development · Computer Science · Mathematics · Neurobiology of Language and Bilingualism · Neuroscience · Psychology

  • An integrated theory of language production and comprehension

    Open Access•Martin J Pickering, Simon Garrod•Behavioral and Brain Sciences•2013

  • SciPy 1.0

    Open Access•Pauli Virtanen, Ralf Gommers et al.•Nature Methods•2020

  • Transformers

    Open Access•Thomas Wolf, Lysandre Debut et al.•Proceedings of the 2020…•2020

  • Turn-taking in Human Communication – Origins and Implications for Language Processing

    Open Access•C Levinson, Stephen C Levinson•Trends in Cognitive Sciences•2016

  • Toward a mechanistic psychology of dialogue

    Open Access•Martin J Pickering, Simon Garrod•Behavioral and Brain Sciences•2004

  • Using uh and um in spontaneous speaking

    Open Access•Herbert H Clark, H Clark•Cognition•2002

  • Integration of Word Meaning and World Knowledge in Language Comprehension

    Open Access•Peter Hagoort, Lea Hald et al.•Science•2004

  • Cortical Surface-Based Analysis

    Open Access•Angela M Dale, Anders M Dale et al.•NeuroImage•1999

  • Grounding in communication.

    Herbert H Clark, Susan E Brennan•Perspectives on socially shared…•1991

  • Array programming with NumPy

    Open Access•Charles R Harris, K Jarrod Millman et al.•Nature•2020

  • Matplotlib

    Open Access•John D Hunter•Computing in Science & Engineering•2007

  • Predicting Pragmatic Reasoning in Language Games

    Open Access•Michael C Frank, Noah D Goodman•Science•2012

  • Speaker–listener neural coupling underlies successful communication

    Open Access•Greg J Stephens, Lauren J Silbert et al.•Proceedings of the National…•2010

  • Natural speech reveals the semantic maps that tile human cerebral cortex

    Open Access•Alexander G Huth, Wendy A de Heer et al.•Nature•2016

  • Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

    Open Access•Jonathan D Power, Kelly A Barnes et al.•NeuroImage•2012

  • Controlling the False Discovery Rate

    Open Access•Yoav Benjamini, Yosef Hochberg•Journal of the Royal Statistical…•1995

  • The assessment and analysis of handedness

    Open Access•R C Oldfield•Neuropsychologia•1971

  • LmerTest Package

    Open Access•Alexandra Kuznetsova, Per B Brockhoff et al.•Journal of Statistical Software•2017

  • The Brain Behind the Response

    Open Access•Sara Bögels, C Levinson et al.•Research on Language and Social…•2016

  • A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations

    Open Access•A Goldstein, Haocheng Wang et al.•Nature Human Behaviour•2025

  • Evidence of a predictive coding hierarchy in the human brain listening to speech

    Open Access•Charlotte Caucheteux, Alexandre Gramfort et al.•Nature Human Behaviour•2023

  • Inner speech

    Open Access•Ben Alderson-Day, Charles Fernyhough•Psychological Bulletin•2015

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