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Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory.
Li, Qiongge; Pasquini, Luca; Del Ferraro, Gino; Gene, Madeleine; Peck, Kyung K; Makse, Hernán A; Holodny, Andrei I.
Afiliación
  • Li Q; Levich Institute and Physics Department, City College of New York, New York, NY, 10031, USA. qli78@jhmi.edu.
  • Pasquini L; Department of Physics, Graduate Center of City University of New York, New York, NY, 10016, USA. qli78@jhmi.edu.
  • Del Ferraro G; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. qli78@jhmi.edu.
  • Gene M; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Peck KK; Neuroradiology Unit, NESMOS Department, Sant'Andrea Hospital, La Sapienza University, 00189, Rome, RM, Italy.
  • Makse HA; Levich Institute and Physics Department, City College of New York, New York, NY, 10031, USA.
  • Holodny AI; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Sci Rep ; 11(1): 10568, 2021 05 19.
Article en En | MEDLINE | ID: mdl-34012006
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Multilingüismo Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Multilingüismo Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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