Conversational content is organized across multiple timescales in the brain.

ABSTRACT: 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

SUBMITTER: Yamashita M 

PROVIDER: S-EPMC12545197 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature