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产生语言的大脑:左前颞中回对口语中语言产生模式的贡献。

Word-producing brain: Contribution of the left anterior middle temporal gyrus to word production patterns in spoken language.

作者信息

Sugimoto Hikaru, Abe Masato S, Otake-Matsuura Mihoko

机构信息

RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.

RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan; Faculty of Culture and Information Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe-shi, Kyoto-fu 610-0394, Japan.

出版信息

Brain Lang. 2023 Mar;238:105233. doi: 10.1016/j.bandl.2023.105233. Epub 2023 Feb 24.

Abstract

Vocabulary is based on semantic knowledge. The anterior temporal lobe (ATL) has been considered an essential region for processing semantic knowledge; nonetheless, the association between word production patterns and the structural and functional characteristics of the ATL remains unclear. To examine this, we analyzed over one million words from group conversations among community-dwelling older adults and their multimodal magnetic resonance imaging data. A quantitative index for the word production patterns, namely the exponent β of Heaps' law, positively correlated with the left anterior middle temporal gyrus volume. Moreover, β negatively correlated with its resting-state functional connectivity with the precuneus. There was no significant correlation with the diffusion tensor imaging metrics in any fiber. These findings suggest that the vocabulary richness in spoken language depends on the brain status characterized by the semantic knowledge-related brain structure and its activation dissimilarity with the precuneus, a core region of the default mode network.

摘要

词汇基于语义知识。前颞叶(ATL)被认为是处理语义知识的关键区域;然而,词汇生成模式与ATL的结构和功能特征之间的关联仍不明确。为了对此进行研究,我们分析了社区居住的老年人之间群体对话中的一百多万个单词以及他们的多模态磁共振成像数据。词汇生成模式的一个定量指标,即希普斯定律的指数β,与左前颞中回体积呈正相关。此外,β与其与楔前叶的静息态功能连接呈负相关。与任何纤维中的扩散张量成像指标均无显著相关性。这些发现表明,口语中的词汇丰富度取决于以与语义知识相关的脑结构及其与默认模式网络的核心区域楔前叶的激活差异为特征的脑状态。

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