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

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Hikaru Sugimoto , Masato S. Abe , Mihoko Otake-Matsuura
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引用次数: 2

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.

造字脑:左颞中前回对口语造字模式的贡献
词汇是以语义知识为基础的。颞前叶(ATL)被认为是处理语义知识的重要区域;尽管如此,单词产生模式与ATL的结构和功能特征之间的联系仍然不清楚。为了检验这一点,我们分析了居住在社区的老年人的小组对话中的100多万个单词及其多模式磁共振成像数据。造词模式的一个定量指标,即希普斯定律的指数β,与左颞中前回体积呈正相关。此外,β与其静息状态下与楔前叶的功能连接呈负相关。在任何纤维中,扩散张量成像指标都没有显著相关性。这些发现表明,口语中的词汇丰富度取决于以语义知识相关的大脑结构为特征的大脑状态,以及其与楔前叶(默认模式网络的核心区域)的激活差异。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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