Nature Neuroscience

, том 25 , издание 8 , страницы 1014-1019

An investigation across 45 languages and 12 language families reveals a universal language network

Тип публикации: Journal Article

Дата публикации: 2022-07-18

Springer Nature

Nature Neuroscience

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SJR: 11.197

CiteScore: 35.4

Impact factor: 20

ISSN: 10976256, 15461726

DOI: 10.1038/s41593-022-01114-5

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PubMed ID: 35856094

General Neuroscience

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To understand the architecture of human language, it is critical to examine diverse languages; however, most cognitive neuroscience research has focused on only a handful of primarily Indo-European languages. Here we report an investigation of the fronto-temporo-parietal language network across 45 languages and establish the robustness to cross-linguistic variation of its topography and key functional properties, including left-lateralization, strong functional integration among its brain regions and functional selectivity for language processing. fMRI reveals similar topography, selectivity and inter-connectedness of language brain areas across 45 languages. These properties may allow the language system to handle the shared features of languages, shaped by biological and cultural evolution.

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Malik-Moraleda S. et al. An investigation across 45 languages and 12 language families reveals a universal language network // Nature Neuroscience. 2022. Vol. 25. No. 8. pp. 1014-1019.

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Malik-Moraleda S., Ayyash D., Gallée J., Affourtit J., Hoffmann M., Mineroff Z., Jouravlev O., Fedorenko E. An investigation across 45 languages and 12 language families reveals a universal language network // Nature Neuroscience. 2022. Vol. 25. No. 8. pp. 1014-1019.

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TY - JOUR

DO - 10.1038/s41593-022-01114-5

UR - https://doi.org/10.1038/s41593-022-01114-5

TI - An investigation across 45 languages and 12 language families reveals a universal language network

T2 - Nature Neuroscience

AU - Malik-Moraleda, Saima

AU - Ayyash, Dima

AU - Gallée, Jeanne

AU - Affourtit, Josef

AU - Hoffmann, Malte

AU - Mineroff, Zachary

AU - Jouravlev, Olessia

AU - Fedorenko, Evelina

PY - 2022

DA - 2022/07/18

PB - Springer Nature

SP - 1014-1019

IS - 8

VL - 25

PMID - 35856094

SN - 1097-6256

SN - 1546-1726

ER -

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@article{2022_Malik-Moraleda,

author = {Saima Malik-Moraleda and Dima Ayyash and Jeanne Gallée and Josef Affourtit and Malte Hoffmann and Zachary Mineroff and Olessia Jouravlev and Evelina Fedorenko},

title = {An investigation across 45 languages and 12 language families reveals a universal language network},

journal = {Nature Neuroscience},

year = {2022},

volume = {25},

publisher = {Springer Nature},

month = {jul},

url = {https://doi.org/10.1038/s41593-022-01114-5},

number = {8},

pages = {1014--1019},

doi = {10.1038/s41593-022-01114-5}

}

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Malik-Moraleda, Saima, et al. “An investigation across 45 languages and 12 language families reveals a universal language network.” Nature Neuroscience, vol. 25, no. 8, Jul. 2022, pp. 1014-1019. https://doi.org/10.1038/s41593-022-01114-5.