Taxonomic and thematic relations rely on different types of semantic features: Evidence from an fMRI meta-analysis and a semantic priming study

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2023-07-01 DOI:10.1016/j.bandl.2023.105287
Yueyang Zhang, Daniel Mirman, Paul Hoffman
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引用次数: 1

Abstract

Taxonomic and thematic relations are major components of semantic representation but their neurocognitive underpinnings are still debated. We hypothesised that taxonomic relations preferentially activate parts of anterior temporal lobe (ATL) because they rely more on colour and shape features, while thematic relations preferentially activate temporoparietal cortex (TPC) because they rely more on action and location knowledge. We first conducted activation likelihood estimation (ALE) meta-analysis to assess evidence for neural specialisation in the existing fMRI literature (Study 1), then used a primed semantic judgement task to examine if the two relations are primed by different feature types (Study 2). We find that taxonomic relations show minimal feature-based specialisation but preferentially activate the lingual gyrus. Thematic relations are more dependent on action and location features and preferentially engage TPC. The meta-analysis also showed that lateral ATL is preferentially engaged by Thematic relations, which may reflect their greater reliance on verbal associations.

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分类和主题关系依赖于不同类型的语义特征:来自fMRI荟萃分析和语义启动研究的证据
分类关系和主题关系是语义表征的主要组成部分,但它们的神经认知基础仍存在争议。我们假设分类关系优先激活前颞叶(ATL)的部分,因为它们更多地依赖于颜色和形状特征,而主题关系优先激活颞顶叶皮层(TPC),因为它们更依赖于动作和位置知识。我们首先进行了激活似然估计(ALE)荟萃分析,以评估现有功能磁共振成像文献中神经专业化的证据(研究1),然后使用启动语义判断任务来检查这两种关系是否由不同的特征类型启动(研究2)。我们发现,分类关系显示出最小的基于特征的专门化,但优先激活舌回。主题关系更多地依赖于行动和地点特征,并优先参与主题方案协调。荟萃分析还表明,横向ATL优先参与主题关系,这可能反映出他们更依赖于言语联想。
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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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