Evidence map›Paper›PMID 37425747›Full record

ArticlebioRxiv : the preprint server for biology2023

A shared linguistic space for transmitting our thoughts from brain to brain in natural conversations.

Zaid Zada, Ariel Goldstein, Sebastian Michelmann, Erez Simony, Amy Price, Liat Hasenfratz, Emily Barham, Asieh Zadbood, Werner Doyle, Daniel Friedman and 7 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 14 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 3 countries.

Zaid ZadaPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Ariel GoldsteinPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Sebastian MichelmannPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Erez SimonyPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Amy PricePrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Liat HasenfratzPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Emily BarhamPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Asieh ZadboodPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Werner DoyleGrossman School of Medicine, New York University; New York, 10016, USA.
Daniel FriedmanGrossman School of Medicine, New York University; New York, 10016, USA.
Patricia DuganGrossman School of Medicine, New York University; New York, 10016, USA.
Lucia MelloniGrossman School of Medicine, New York University; New York, 10016, USA.
Sasha DevoreGrossman School of Medicine, New York University; New York, 10016, USA.
Adeen FlinkerGrossman School of Medicine, New York University; New York, 10016, USA.
Orrin DevinskyGrossman School of Medicine, New York University; New York, 10016, USA.
Samuel A NastasePrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Uri HassonPrinceton Neuroscience Institute and Department of Psychology, Princeton University; New Jersey, 08544, USA.
Princeton University · USFaculty of 1000 (United States) · USHolon Institute of Technology · ILJerusalem College of Technology · IL

Funding

Speaker-listener coupling: a novel neural approach for assessing communicationDP1HD091948 · NICHD · PRINCETON UNIVERSITY · PI HASSON, URI · 2016 to 2021
$5.6M
Brain-to-brain dynamical Coupling: A New framework for the communication of social knowledgeR01MH112566 · NIMH · PRINCETON UNIVERSITY · PI HASSON, URI, WHEATLEY, THALIA P · 2017 to 2021
$2.5M
NICHD NIH HHS DP1 HD091948NIMH NIH HHS R01 MH112566
6 · The paper itself

Abstract

Effective communication hinges on a mutual understanding of word meaning in different contexts. The embedding space learned by large language models can serve as an explicit model of the shared, context-rich meaning space humans use to communicate their thoughts. We recorded brain activity using electrocorticography during spontaneous, face-to-face conversations in five pairs of epilepsy patients. We demonstrate that the linguistic embedding space can capture the linguistic content of word-by-word neural alignment between speaker and listener. Linguistic content emerged in the speaker's brain before word articulation, and the same linguistic content rapidly reemerged in the listener's brain after word articulation. These findings establish a computational framework to study how human brains transmit their thoughts to one another in real-world contexts.

Identifiers

PMID37425747
PMCPMC10327051
OpenAlexW4382541143

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.