左额下回在句子理解过程中协同句法结构和信息结构的重要作用。

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2025-01-16 DOI:10.1016/j.bandl.2025.105533
Hyeonjeong Jeong , Jungho Kim , Masataka Yano , Haining Cui , Sachiko Kiayama , Masatoshi Koizumi
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引用次数: 0

摘要

本研究利用功能磁共振成像技术探讨句子理解过程中句法结构与信息结构整合的神经机制。该研究聚焦于具有规范词序(SOV)和非规范词序(OSV)的日语句子,揭示了处理这些语言结构的不同神经网络。左侧额下回的左眼部、左侧运动前区和左侧颞后上/中回主要参与句法加工。相比之下,右侧额下沟、双侧顶内沟和左侧额下回的三角形部分与信息结构加工有关。重要的是,额下回的左眼部分(BA44)在理解的后期阶段,特别是在处理第二个名词短语时,在整合这些结构方面发挥了至关重要的作用。这些发现增强了我们对语言理解中句法结构和信息结构之间复杂相互作用的理解。
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The crucial role of the left inferior frontal gyrus (BA44) in synergizing syntactic structure and information structure during sentence comprehension
This study examines the neural mechanisms behind integrating syntactic and information structures during sentence comprehension using functional Magnetic Resonance Imaging. Focusing on Japanese sentences with canonical (SOV) and non-canonical (OSV) word orders, the study revealed distinct neural networks responsible for processing these linguistic structures. The left opercular part of the inferior frontal gyrus, left premotor area, and left posterior superior/middle temporal gyrus were primarily involved in syntactic processing. In contrast, the right inferior frontal sulcus, bilateral intraparietal sulci, and the left triangular part of the inferior frontal gyrus were linked to information structure processing. Importantly, the left opercular part of the inferior frontal gyrus (BA44) played a crucial role in integrating these structures during the later stages of comprehension, particularly when processing the second noun phrase. These findings enhance our understanding of the complex interplay between syntactic and information structures in language comprehension.
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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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