Evidence map›Paper›PMID 38494886›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2024

High-level language brain regions process sublexical regularities.

Tamar I Regev, Hee So Kim, Xuanyi Chen, Josef Affourtit, Abigail E Schipper, Leon Bergen, Kyle Mahowald, Evelina Fedorenko

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. The cerebellar components of the human language network.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Spatiotemporal Neural Network for Sublexical Information Processing: An Intracranial SEEG Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  8. Article
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  10. Article
  11. Article
  12. Review
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  14. Robust Effects of Working Memory Demand during Naturalistic Language Comprehension in Language-Selective Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  15. Article
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

8 authors.

Tamar I RegevDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.ORCID 0000-0003-0639-0890
Hee So KimDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.
Xuanyi ChenDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.
Josef AffourtitDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.
Abigail E SchipperDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.
Leon BergenDepartment of Linguistics, University of California San Diego, San Diego CA 92093, United States.
Kyle MahowaldDepartment of Linguistics, University of Texas at Austin, Austin, TX 78712, United States.
Evelina FedorenkoDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States.

Funding

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 DC016950
6 · The paper itself

Abstract

A network of left frontal and temporal brain regions supports language processing. This "core" language network stores our knowledge of words and constructions as well as constraints on how those combine to form sentences. However, our linguistic knowledge additionally includes information about phonemes and how they combine to form phonemic clusters, syllables, and words. Are phoneme combinatorics also represented in these language regions? Across five functional magnetic resonance imaging experiments, we investigated the sensitivity of high-level language processing brain regions to sublexical linguistic regularities by examining responses to diverse nonwords-sequences of phonemes that do not constitute real words (e.g. punes, silory, flope). We establish robust responses in the language network to visually (experiment 1a, n = 605) and auditorily (experiments 1b, n = 12, and 1c, n = 13) presented nonwords. In experiment 2 (n = 16), we find stronger responses to nonwords that are more well-formed, i.e. obey the phoneme-combinatorial constraints of English. Finally, in experiment 3 (n = 14), we provide suggestive evidence that the responses in experiments 1 and 2 are not due to the activation of real words that share some phonology with the nonwords. The results suggest that sublexical regularities are stored and processed within the same fronto-temporal network that supports lexical and syntactic processes.

Indexed as

Brain MappingLanguageBrainIndiaLinguisticsMagnetic Resonance ImagingbrainfMRIlanguagephonologysublexical

Identifiers

PMID38494886
PMCPMC11486690

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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.