Spatiotemporal dynamics of abstract and concrete semantic representations

IF 2.1 2区心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2023-08-01 DOI:10.1016/j.bandl.2023.105298

Lorenzo Vignali , Yangwen Xu , Jacopo Turini , Olivier Collignon , Davide Crepaldi , Roberto Bottini

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引用次数: 2

Abstract

Dual Coding Theories (DCT) suggest that meaning is represented in the brain by a double code: a language-derived code in the Anterior Temporal Lobe (ATL) and a sensory-derived code in perceptual and motor regions. Concrete concepts should activate both codes, while abstract ones rely solely on the linguistic code. To test these hypotheses, the present magnetoencephalography (MEG) experiment had participants judge whether visually presented words relate to the senses while we recorded brain responses to abstract and concrete semantic components obtained from 65 independently rated semantic features. Results evidenced early involvement of anterior-temporal and inferior-frontal brain areas in both abstract and concrete semantic information encoding. At later stages, occipital and occipito-temporal regions showed greater responses to concrete compared to abstract features. The present findings suggest that the concreteness of words is processed first with a transmodal/linguistic code, housed in frontotemporal brain systems, and only after with an imagistic/sensorimotor code in perceptual regions.

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抽象和具体语义表示的时空动力学

双重编码理论（DCT）表明，意义在大脑中由双重编码表示：前颞叶（ATL）的语言衍生编码和感知和运动区域的感觉衍生编码。具体的概念应该激活这两种代码，而抽象的概念只依赖于语言代码。为了检验这些假设，目前的脑磁图（MEG）实验让参与者判断视觉呈现的单词是否与感官有关，同时我们记录大脑对从65个独立评分的语义特征中获得的抽象和具体语义成分的反应。结果证明，在抽象和具体的语义信息编码中，颞前和额下大脑区域都有早期参与。在后期，与抽象特征相比，枕叶和枕颞区对具体特征表现出更大的反应。目前的研究结果表明，单词的具体性首先用位于额颞叶大脑系统中的跨模态/语言代码来处理，然后才用感知区域中的意象/感觉运动代码来处理。

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来源期刊

Brain and Language 医学-神经科学

CiteScore

4.50

自引率

8.00%

发文量

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.