Evidence map›Paper›PMID 36130104›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production.

Jennifer Hu, Hannah Small, Hope Kean, Atsushi Takahashi, Leo Zekelman, Daniel Kleinman, Elizabeth Ryan, Alfonso Nieto-Castañón, Victor Ferreira, Evelina Fedorenko

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
–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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Language dysfunction as a primary feature of cognitive decline in neurological populations.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  11. Article
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  13. A distinct set of brain areas process prosody-the melody of speech.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. EEG neurosubtyping of infants predicts language trajectories.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Article
  17. The cerebellar components of the human language network.bioRxiv : the preprint server for biology · 2025
    Article
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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

10 authors.

Jennifer HuDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.
Hannah SmallDepartment of Cognitive Science, Johns Hopkins University, Baltimore, MD 21218, United States.
Hope KeanDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.
Atsushi TakahashiMcGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States.
Leo ZekelmanProgram in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA 02138, United States.
Daniel KleinmanHaskins Laboratories, New Haven, CT 06511, United States.
Elizabeth RyanSt. George's Medical School, St. George's University, Grenada, West Indies.
Alfonso Nieto-CastañónMcGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States.
Victor FerreiraDepartment of Psychology, UCSD, La Jolla, CA 92093, United States.
Evelina FedorenkoDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.

Funding

Computational Neuroscience of Language Processing in the Human BrainU01NS121471 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA, RICHARDSON, ROBERT MARK · 2021 to 2025
$3.2M
Functional reorganization of the language and domain-general multiple demand systems in aphasiaR01DC016950 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FEDORENKO, EVELINA, KIRAN, SWATHI · 2019 to 2023
$3.2M
The neural architecture of pragmatic processingR01DC016607 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA · 2018 to 2022
$2.4M
NIDCD NIH HHS R01 DC016607NIDCD NIH HHS R01 DC016950NINDS NIH HHS U01 NS121471
6 · The paper itself

Abstract

A fronto-temporal brain network has long been implicated in language comprehension. However, this network's role in language production remains debated. In particular, it remains unclear whether all or only some language regions contribute to production, and which aspects of production these regions support. Across 3 functional magnetic resonance imaging experiments that rely on robust individual-subject analyses, we characterize the language network's response to high-level production demands. We report 3 novel results. First, sentence production, spoken or typed, elicits a strong response throughout the language network. Second, the language network responds to both phrase-structure building and lexical access demands, although the response to phrase-structure building is stronger and more spatially extensive, present in every language region. Finally, contra some proposals, we find no evidence of brain regions-within or outside the language network-that selectively support phrase-structure building in production relative to comprehension. Instead, all language regions respond more strongly during production than comprehension, suggesting that production incurs a greater cost for the language network. Together, these results align with the idea that language comprehension and production draw on the same knowledge representations, which are stored in a distributed manner within the language-selective network and are used to both interpret and generate linguistic utterances.

Indexed as

Brain MappingMagnetic Resonance ImagingBrainComprehensionLanguagefMRIlanguage comprehensionlanguage networklanguage productionsyntax

Identifiers

PMID36130104
PMCPMC10110436

What OpenQuestion holds

Textmetadata
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.