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后颞中回作为句法理解的枢纽:句法神经网络模型。

The posterior middle temporal gyrus serves as a hub in syntactic comprehension: A model on the syntactic neural network.

机构信息

Bilingual Cognition and Development Lab, Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies, Guangzhou 510420, China.

Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China.

出版信息

Brain Lang. 2022 Sep;232:105162. doi: 10.1016/j.bandl.2022.105162. Epub 2022 Jul 28.

DOI:10.1016/j.bandl.2022.105162
PMID:35908340
Abstract

Neuroimaging studies have revealed a distributed neural network involving multiple fronto-temporal regions that are active during syntactic processing. Here, we investigated how these regions work collaboratively to support syntactic comprehension by examining the behavioral relevance of the global functional integration of the syntax network (SN). We found that individuals with a stronger resting-state within-network integration in the left posterior middle temporal gyrus (lpMTG) were better at syntactic comprehension. Furthermore, the pair-wise functional connectivity between the lpMTG and the Broca's area, the middle frontal gyrus, and the angular and supramarginal gyri was positively correlated with participants' syntactic processing ability. In short, our study reveals the behavioral significance of intrinsic functional integration of the SN in syntactic comprehension, and provides empirical evidence for the hub-like role of the lpMTG. We proposed a neural model for syntactic comprehension highlighting the hub of the SN and its interactions with other regions in the network.

摘要

神经影像学研究揭示了一个涉及多个额颞区域的分布式神经网络,这些区域在句法处理过程中活跃。在这里,我们通过研究句法网络 (SN) 的全局功能整合的行为相关性,来探究这些区域如何协同工作以支持句法理解。我们发现,左侧后颞中回(lpMTG)静息状态下网络内整合较强的个体在句法理解方面表现更好。此外,lpMTG 与布罗卡区、中额回、角回和缘上回之间的两两功能连接与参与者的句法处理能力呈正相关。总之,我们的研究揭示了 SN 内在功能整合在句法理解中的行为意义,并为 lpMTG 的中枢作用提供了经验证据。我们提出了一个句法理解的神经模型,突出了 SN 的枢纽及其与网络中其他区域的相互作用。

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