Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory

Abstract Bilingualism requires control of multiple language systems, and may lead to architectural differences in language networks obtained from clinical fMRI tasks. Emerging connectivity metrics such as k-core may capture these differences, highlighting crucial network components based on resilien...

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Autores principales:	Qiongge Li, Luca Pasquini, Gino Del Ferraro, Madeleine Gene, Kyung K. Peck, Hernán A. Makse, Andrei I. Holodny
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2f15c6572e054de39be111596c0a15ad
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spelling	oai:doaj.org-article:2f15c6572e054de39be111596c0a15ad2021-12-02T15:45:31ZMonolingual and bilingual language networks in healthy subjects using functional MRI and graph theory10.1038/s41598-021-90151-42045-2322https://doaj.org/article/2f15c6572e054de39be111596c0a15ad2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90151-4https://doaj.org/toc/2045-2322Abstract Bilingualism requires control of multiple language systems, and may lead to architectural differences in language networks obtained from clinical fMRI tasks. Emerging connectivity metrics such as k-core may capture these differences, highlighting crucial network components based on resiliency. We investigated the influence of bilingualism on clinical fMRI language tasks and characterized bilingual networks using connectivity metrics to provide a patient care benchmark. Sixteen right-handed subjects (mean age 42-years; nine males) without neurological history were included: eight native English-speaking monolinguals and eight native Spanish-speaking (L1) bilinguals with acquired English (L2). All subjects underwent fMRI with gold-standard clinical language tasks. Starting from active clusters on fMRI, we inferred the persistent functional network across subjects and ran centrality measures to characterize differences. Our results demonstrated a persistent network “core” consisting of Broca’s area, the pre-supplementary motor area, and the premotor area. K-core analysis showed that Wernicke’s area was engaged by the “core” with weaker connection in L2 than L1.Qiongge LiLuca PasquiniGino Del FerraroMadeleine GeneKyung K. PeckHernán A. MakseAndrei I. HolodnyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Qiongge Li Luca Pasquini Gino Del Ferraro Madeleine Gene Kyung K. Peck Hernán A. Makse Andrei I. Holodny Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory
description	Abstract Bilingualism requires control of multiple language systems, and may lead to architectural differences in language networks obtained from clinical fMRI tasks. Emerging connectivity metrics such as k-core may capture these differences, highlighting crucial network components based on resiliency. We investigated the influence of bilingualism on clinical fMRI language tasks and characterized bilingual networks using connectivity metrics to provide a patient care benchmark. Sixteen right-handed subjects (mean age 42-years; nine males) without neurological history were included: eight native English-speaking monolinguals and eight native Spanish-speaking (L1) bilinguals with acquired English (L2). All subjects underwent fMRI with gold-standard clinical language tasks. Starting from active clusters on fMRI, we inferred the persistent functional network across subjects and ran centrality measures to characterize differences. Our results demonstrated a persistent network “core” consisting of Broca’s area, the pre-supplementary motor area, and the premotor area. K-core analysis showed that Wernicke’s area was engaged by the “core” with weaker connection in L2 than L1.
format	article
author	Qiongge Li Luca Pasquini Gino Del Ferraro Madeleine Gene Kyung K. Peck Hernán A. Makse Andrei I. Holodny
author_facet	Qiongge Li Luca Pasquini Gino Del Ferraro Madeleine Gene Kyung K. Peck Hernán A. Makse Andrei I. Holodny
author_sort	Qiongge Li
title	Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory
title_short	Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory
title_full	Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory
title_fullStr	Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory
title_full_unstemmed	Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory
title_sort	monolingual and bilingual language networks in healthy subjects using functional mri and graph theory
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2f15c6572e054de39be111596c0a15ad
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Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory

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