词汇歧义的大脑表征:区分同义词、多义词及其含义。

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2024-06-01 DOI:10.1016/j.bandl.2024.105426
Xinyuan Liang , Fuchun Huang , Danqing Liu , Min Xu
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引用次数: 0

摘要

在人类语言中,一字多义是一种常见现象。本研究使用 fMRI 来研究大脑如何处理不同类型的词汇歧义,以及如何区分歧义词的含义。我们的研究重点是同义词和多义词,它们在多义之间的相关性上存在差异。受试者(35 人)进行了一项 "引物-目标语义相关性 "任务,即引出一个模棱两可词语的特定含义。结果表明,与多义词相比,同义词在双侧背侧前额叶和后顶叶皮层引起的激活更强,这表明当模棱两可的词义不相关时,这些区域可能会更多地参与认知控制。多变量模式分析进一步显示,不同句法类别的同形异义词的词义在额叶和颞叶皮层的表现不同。研究结果凸显了语义关系和语法因素在大脑表征词汇歧义方面的重要性。
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Brain representations of lexical ambiguity: Disentangling homonymy, polysemy, and their meanings

In human languages, it is a common phenomenon for a single word to have multiple meanings. This study used fMRI to investigate how the brain processed different types of lexical ambiguity, and how it differentiated the meanings of ambiguous words. We focused on homonyms and polysemy that differed in the relatedness among multiple meanings. Participants (N = 35) performed a prime-target semantic relatedness task, where a specific meaning of an ambiguous word was primed. Results showed that homonyms elicited greater activation in bilateral dorsal prefrontal and posterior parietal cortices than polysemous words, suggesting that these regions may be more engaged in cognitive control when the meanings of ambiguous words are unrelated. Multivariate pattern analysis further revealed that meanings of homonyms with different syntactic categories were represented differently in the frontal and temporal cortices. The findings highlighted the importance of semantic relations and grammatical factors in the brain’s representation of lexical ambiguities.

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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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