The organization of the semantic network as reflected by the neural correlates of six semantic dimensions

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Nan Lin , Xiaohan Zhang , Xiuyi Wang , Shaonan Wang
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引用次数: 0

Abstract

Multiple sensory-motor and non-sensory-motor dimensions have been proposed for semantic representation, but it remains unclear how the semantic system is organized along them in the human brain. Using naturalistic fMRI data and large-scale semantic ratings, we investigated the overlaps and dissociations between the neural correlates of six semantic dimensions: vision, motor, socialness, emotion, space, and time. Our findings revealed a more complex semantic atlas than what is predicted by current neurobiological models of semantic representation. Brain regions that are selectively sensitive to specific semantic dimensions were found both within and outside the brain networks assumed to represent multimodal general and/or abstract semantics. Overlaps between the neural correlates of different semantic dimensions were mainly found inside the default mode network, concentrated in the left anterior superior temporal gyrus and angular gyrus, which have been proposed as two connector hubs that bridge the multimodal experiential semantic system and the language-supported semantic system.

六个语义维度的神经相关性所反映的语义网络的组织结构
人们已经提出了语义表征的多个感觉-运动和非感觉-运动维度,但目前仍不清楚人脑中的语义系统是如何沿着这些维度组织起来的。我们利用自然的 fMRI 数据和大规模的语义评级,研究了视觉、运动、社交、情感、空间和时间这六个语义维度的神经相关性之间的重叠和分离。我们的发现揭示了一个比当前语义表征神经生物学模型所预测的更为复杂的语义图谱。在假定代表多模态一般和/或抽象语义的大脑网络内外,都发现了对特定语义维度选择性敏感的脑区。不同语义维度的神经相关性之间的重叠主要出现在默认模式网络内部,集中在左前颞上回和角回,这两个部位被认为是连接多模态经验语义系统和语言支持语义系统的两个连接枢纽。
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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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