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大脑皮质网络中动词和名词语义敏感性的双重分离。

A Double Dissociation in Sensitivity to Verb and Noun Semantics Across Cortical Networks.

机构信息

Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.

Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Cereb Cortex. 2019 Dec 17;29(11):4803-4817. doi: 10.1093/cercor/bhz014.

Abstract

What is the neural organization of the mental lexicon? Previous research suggests that partially distinct cortical networks are active during verb and noun processing, but what information do these networks represent? We used multivoxel pattern analysis (MVPA) to investigate whether these networks are sensitive to lexicosemantic distinctions among verbs and among nouns and, if so, whether they are more sensitive to distinctions among words in their preferred grammatical class. Participants heard 4 types of verbs (light emission, sound emission, hand-related actions, mouth-related actions) and 4 types of nouns (birds, mammals, manmade places, natural places). As previously shown, the left posterior middle temporal gyrus (LMTG+), and inferior frontal gyrus (LIFG) responded more to verbs, whereas the inferior parietal lobule (LIP), precuneus (LPC), and inferior temporal (LIT) cortex responded more to nouns. MVPA revealed a double-dissociation in lexicosemantic sensitivity: classification was more accurate among verbs than nouns in the LMTG+, and among nouns than verbs in the LIP, LPC, and LIT. However, classification was similar for verbs and nouns in the LIFG, and above chance for the nonpreferred category in all regions. These results suggest that the lexicosemantic information about verbs and nouns is represented in partially nonoverlapping networks.

摘要

心理词汇的神经组织是什么?先前的研究表明,在动词和名词处理过程中,部分不同的皮质网络是活跃的,但这些网络代表什么信息?我们使用多体素模式分析(MVPA)来研究这些网络是否对动词和名词之间的词汇语义区别敏感,如果是这样,它们是否对其首选语法类中的单词之间的区别更敏感。参与者听到 4 种动词(发光、发声、手部相关动作、口腔相关动作)和 4 种名词(鸟类、哺乳动物、人造场所、自然场所)。如前所述,左后颞中回(LMTG+)和下额前回(LIFG)对动词的反应更强烈,而下顶叶(LIP)、后扣带回(LPC)和下颞叶(LIT)皮质对名词的反应更强烈。MVPA 揭示了词汇语义敏感性的双重分离:在 LMTG+中,动词之间的分类比名词更准确,而在 LIP、LPC 和 LIT 中,名词之间的分类比动词更准确。然而,在 LIFG 中,动词和名词的分类相似,在所有区域中,非首选类别的分类都高于随机。这些结果表明,动词和名词的词汇语义信息是在部分不重叠的网络中表示的。

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