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

Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory.
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DOI:
10.1038/s41598-021-90151-4
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发表时间:
2021-05-19
期刊:
影响因子:
4.6
通讯作者:
Holodny AI
Holodny AI
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Li Q;Pasquini L;Del Ferraro G;Gene M;Peck KK;Makse HA;Holodny AI

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双语需要控制多种语言系统,并可能导致临床功能磁共振成像任务中获得的语言网络结构差异。新兴的连接性指标(如k-core)可以捕捉到这些差异,突出显示基于弹性的关键网络组件。我们研究了双语对临床功能磁共振成像语言任务的影响,并使用连通性指标来表征双语网络,以提供患者护理基准。16名无神经病史的右撇子受试者(平均42岁,9名男性):8名母语为英语的单语者和8名母语为西班牙语(L1)的双语者,并伴有习得性英语(L2)。所有受试者都接受了功能磁共振成像(fMRI)和金标准临床语言任务。从fMRI上的活动簇开始,我们推断出受试者之间持续的功能网络,并运行中心性测量来表征差异。我们的结果显示了一个持久的网络“核心”,包括布罗卡区,前补充运动区和前运动区。K-core分析显示Wernicke’s area被L2连接弱于L1的“core”所占据。
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.
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