Evidence map›Paper›PMID 39990465›Full record

ArticlebioRxiv : the preprint server for biology2025

Linguistic coupling between neural systems for speech production and comprehension during real-time dyadic conversations.

Zaid Zada, Samuel A Nastase, Sebastian Speer, Laetitia Mwilambwe-Tshilobo, Lily Tsoi, Shannon Burns, Emily Falk, Uri Hasson, Diana Tamir

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

9 authors.

Zaid ZadaNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.ORCID 0000-0002-3096-0059
Samuel A NastaseNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.ORCID 0000-0001-7013-5275
Sebastian SpeerNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.
Laetitia Mwilambwe-TshiloboNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.
Lily TsoiNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.
Shannon BurnsNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.
Emily FalkDepartment of Psychology, University of Pennsylvania, Philadelphia PA.
Uri HassonNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.
Diana TamirNeuroscience Institute and Psychology Department, Princeton University, Princeton NJ.

Funding

Speaker-listener coupling: a novel neural approach for assessing communicationDP1HD091948 · NICHD · PRINCETON UNIVERSITY · PI HASSON, URI · 2016 to 2021
$5.6M
CRCNS: Building and testing computational models of the neural basis of natural communicationR01DC022534 · NIDCD · PRINCETON UNIVERSITY · PI Uri Hasson · 2024 to 2026
$1.2M
The cognitive and neural mechanisms supporting naturalistic dyadic social interactionsR21MH127284 · NIMH · PRINCETON UNIVERSITY · PI TAMIR, DIANA · 2022 to 2023
$446k
NICHD NIH HHS DP1 HD091948NIDCD NIH HHS R01 DC022534NIMH NIH HHS R21 MH127284
6 · The paper itself

Abstract

The core use of human language is communicating complex ideas from one mind to another in everyday conversations. In conversations, comprehension and production processes are intertwined, as speakers soon become listeners, and listeners become speakers. Nonetheless, the neural systems underlying these faculties are typically studied in isolation, using paradigms that cannot fully engage our capacity for interactive communication, and with indirect measures of similarity. Here, we used an fMRI hyperscanning paradigm to measure neural activity simultaneously in pairs of subjects engaged in real-time, interactive conversations. We used contextual word embeddings from a large language model to quantify the linguistic coupling between production and comprehension systems within and across individual brains. We found a highly overlapping network of regions involved in both production and comprehension spanning much of the cortical language network. Our findings reveal that shared representations for both processes extend beyond the language network into areas associated with social cognition. Together, these results suggest that the specialized neural systems for speech perception and production align on a common set of linguistic features encoded in a broad cortical network for language and communication.

Indexed as

brain-to-brain couplingcommunicationconversationsencoding modelshyperscanninglarge language models (LLMs)naturalistic paradigmspeech comprehensionspeech production

Identifiers

PMID39990465
PMCPMC11844503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.