Evidence map›Paper›PMID 40502107›Full record

ArticlebioRxiv : the preprint server for biology2025

Cortical language areas are coupled via a soft hierarchy of model-based linguistic features.

Ahmad Samara, Zaid Zada, Tamara Vanderwal, Uri Hasson, Samuel A Nastase

Abstract readPreprint
PubMed Full text at PMC Publisher
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

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

5 authors.

Ahmad SamaraUniversity of British Columbia, Vancouver, BC, Canada.
Zaid ZadaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Tamara VanderwalUniversity of British Columbia, Vancouver, BC, Canada.
Uri HassonPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Samuel A NastasePrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.

Funding

CRCNS: Building and testing computational models of the neural basis of natural communicationR01DC022534 · NIDCD · PRINCETON UNIVERSITY · PI Uri Hasson · 2024 to 2026
$1.2M
NIDCD NIH HHS R01 DC022534
6 · The paper itself

Abstract

Natural language comprehension is a complex task that relies on coordinated activity across a network of cortical regions. In this study, we propose that regions of the language network are coupled to one another through subspaces of shared linguistic features. To test this idea, we developed a model-based connectivity framework to quantify stimulus-driven, feature-specific functional connectivity

Indexed as

encoding modelsfunctional connectivitylanguage networklarge language models (LLMs)narrative comprehensionnaturalistic paradigm

Identifiers

PMID40502107
PMCPMC12157387

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.