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Neural Substrates of the Morphological Structure of Chinese Words

机译:汉字形态结构的神经基材

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Compounding is the dominant morphological type in modern Chinese words; however, its brain mechanisms remain unspecified. Here, we aim to address this issue by manipulating three common morphological structures in Chinese disyllabic words in an fMRI study: parallel, biased, and monomorphemic. Behavioral analyses show no significant difference in reaction times and error rates among these three conditions. No difference in neural activation was observed in direct contrasts among these conditions in univariate contrast analyses. A support vector machine categorization analysis reveals that the left inferior frontal gyrus (LIFG) is the only region in the frontotemporal network that can differentiate the parallel from the biased disyllabic words in neural activation patterns. This finding indicates that the LIFG is the core region responsible for morphological representation universally across different language modalities and morphological structures.
机译:复合是现代中文词汇的主要形态类型; 但是,其脑机制仍未指明。 在这里,我们旨在通过操纵中国的法案研究中的三种常见形态结构来解决这个问题:平行,偏见和单眼。 行为分析显示这三种条件中的反应时间和误差率没有显着差异。 在单变量对比分析中,在这些条件下,观察到神经活化的差异。 支持向量机分类分析表明,左下额相回归(LIFG)是初颞网络中的唯一区域,其可以在神经激活模式中与偏置的偏置的偏置的偏见的字幕词分区。 该发现表明,LIFG是负责跨越不同语言模型和形态结构的形态学表示的核心区域。

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