Evidence map›Paper›PMID 40475410›Full record

ArticlebioRxiv : the preprint server for biology2025

A two-dimensional space of linguistic representations shared across individuals.

Greta Tuckute, Elizabeth J Lee, Yongtian Ou, Evelina Fedorenko, Kendrick Kay

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

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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.

Greta TuckuteDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-5572-5469
Elizabeth J LeeDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
Yongtian OuCenter for Magnetic Resonance Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN 55455.
Evelina FedorenkoDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-3823-514X
Kendrick KayCenter for Magnetic Resonance Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN 55455.ORCID 0000-0001-6604-9155

Funding

Deep sampling of cognitive effects in the human visual systemR01EY034118 · NEI · UNIVERSITY OF MINNESOTA · PI CLAYTON E CURTIS, Kendrick Norris Kay · 2023 to 2026
$1.9M
NEI NIH HHS R01 EY034118
6 · The paper itself

Abstract

Our ability to extract meaning from linguistic inputs and package ideas into word sequences is supported by a network of left-hemisphere frontal and temporal brain areas. Despite extensive research, previous attempts to discover differences among these language areas have not revealed clear dissociations or spatial organization. All areas respond similarly during controlled linguistic experiments as well as during naturalistic language comprehension. To search for finer-grained organizational principles of language processing, we applied data-driven decomposition methods to ultra-high-field (7T) fMRI responses from eight participants listening to 200 linguistically diverse sentences. Using a cross-validation procedure that identifies shared structure across individuals, we find that two components successfully generalize across participants, together accounting for about 32% of the explainable variance in brain responses to sentences. The first component corresponds to processing difficulty, and the second-to meaning abstractness; we formally support this interpretation through targeted behavioral experiments and information-theoretic measures. Furthermore, we find that the two components are systematically organized within frontal and temporal language areas, with the meaning-abstractness component more prominent in the temporal regions. These findings reveal an interpretable, low-dimensional, spatially structured representational basis for language processing, and advance our understanding of linguistic representations at a detailed, fine-scale organizational level.

Identifiers

PMID40475410
PMCPMC12139866

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LicenceCC BY-NC
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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.