Evidence map›Paper›PMID 36711949›Full record

ArticlebioRxiv : the preprint server for biology2024

Functional characterization of the language network of polyglots and hyperpolyglots with precision fMRI.

Saima Malik-Moraleda, Olessia Jouravlev, Maya Taliaferro, Zachary Mineroff, Theodore Cucu, Kyle Mahowald, Idan A Blank, Evelina Fedorenko

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

8 authors.

Saima Malik-MoraledaDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-1224-5323
Olessia JouravlevDepartment of Cognitive Science, Carleton University, Ottawa, Canada, K1S 5B6.ORCID 0000-0001-6449-9419
Maya TaliaferroDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
Zachary MineroffEberly Center, Carnegie Mellon University, Pittsburgh, PA 15289.ORCID 0000-0001-8806-9069
Theodore CucuDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA 15289.ORCID 0000-0001-5468-3730
Kyle MahowaldDepartment of Linguistics, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-9786-8716
Idan A BlankDepartment of Psychology, University of California Los Angeles, CA 90095.ORCID 0000-0001-7057-8391
Evelina FedorenkoDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-3823-514X

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

How do polyglots-individuals who speak five or more languages-process their languages, and what can this population tell us about the language system? Using fMRI, we identified the language network in each of 34 polyglots (including 16 hyperpolyglots with knowledge of 10+ languages) and examined its response to the native language, non-native languages of varying proficiency, and unfamiliar languages. All language conditions engaged all areas of the language network relative to a control condition. Languages that participants rated as higher-proficiency elicited stronger responses, except for the native language, which elicited a similar or lower response than a non-native language of similar proficiency. Furthermore, unfamiliar languages that were typologically related to the participants' high-to-moderate-proficiency languages elicited a stronger response than unfamiliar unrelated languages. The results suggest that the language network's response magnitude scales with the degree of engagement of linguistic computations (e.g., related to lexical access and syntactic-structure building). We also replicated a prior finding of weaker responses to native language in polyglots than non-polyglot bilinguals. These results contribute to our understanding of how multiple languages co-exist within a single brain and provide new evidence that the language network responds more strongly to stimuli that more fully engage linguistic computations.

Indexed as

fMRIlanguage networkmultilingualismpolyglotismproficiency

Identifiers

PMID36711949
PMCPMC9882290

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.