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The universal language network: A cross-linguistic investigation spanning 45 languages and 11 language families

Dima Ayyash, View ORCID ProfileSaima Malik-Moraleda, Jeanne Gallée, Josef Affourtit, Malte Hoffman, Zachary Mineroff, Olessia Jouravlev, Evelina Fedorenko
doi: https://doi.org/10.1101/2021.07.28.454040
Dima Ayyash
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
2McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
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Saima Malik-Moraleda
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
2McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
3Program in Speech and Hearing Bioscience and Technology, Harvard University, Boston, MA 02114
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  • ORCID record for Saima Malik-Moraleda
  • For correspondence: smalikmoraleda@g.harvard.edu evelina9@mit.edu
Jeanne Gallée
3Program in Speech and Hearing Bioscience and Technology, Harvard University, Boston, MA 02114
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Josef Affourtit
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
2McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
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Malte Hoffman
4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129
5Department of Radiology, Harvard Medical School, Boston, MA, 02115
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Zachary Mineroff
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
2McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
6Eberly Center, Carnegie Mellon University, Pittsburgh, PA 15289
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Olessia Jouravlev
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
2McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
7Department of Cognitive Science, Carleton University, Ottawa, Canada
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Evelina Fedorenko
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
2McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139
3Program in Speech and Hearing Bioscience and Technology, Harvard University, Boston, MA 02114
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  • For correspondence: smalikmoraleda@g.harvard.edu evelina9@mit.edu
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Abstract

To understand the architecture of human language, it is critical to examine diverse languages; yet most cognitive neuroscience research has focused on a handful of primarily Indo-European languages. Here, we report a large-scale investigation of the fronto-temporal language network across 45 languages and establish the cross-linguistic generality of its key functional properties, including general topography, left-lateralization, strong functional integration among its brain regions, and functional selectivity for language processing.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted July 29, 2021.
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The universal language network: A cross-linguistic investigation spanning 45 languages and 11 language families
Dima Ayyash, Saima Malik-Moraleda, Jeanne Gallée, Josef Affourtit, Malte Hoffman, Zachary Mineroff, Olessia Jouravlev, Evelina Fedorenko
bioRxiv 2021.07.28.454040; doi: https://doi.org/10.1101/2021.07.28.454040
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The universal language network: A cross-linguistic investigation spanning 45 languages and 11 language families
Dima Ayyash, Saima Malik-Moraleda, Jeanne Gallée, Josef Affourtit, Malte Hoffman, Zachary Mineroff, Olessia Jouravlev, Evelina Fedorenko
bioRxiv 2021.07.28.454040; doi: https://doi.org/10.1101/2021.07.28.454040

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