汉字阅读的语义神经回路及其与语音回路的协作机制
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  • 英文篇名:The neural circuit of semantic processing and its dynamic cooperation with the neural circuit of phonological processing in reading Chinese characters
  • 作者:杨剑峰 ; 党敏 ; 张瑞 ; 王小娟
  • 英文作者:YANG Jianfeng;DANG Min;ZHANG Rui;WANG Xiaojuan;Key Lab for Behavior & Cognitive Neuroscience of Shaanxi Province,School of Psychology, Shaanxi Normal University;
  • 关键词:视觉词汇阅读 ; 语义加工 ; 语音加工 ; fMRI ; 多参数相关分析 ; 动态因果模型
  • 英文关键词:visual word reading;;semantic processing;;phonological processing;;fMRI;;multi-parametric approach;;Dynamic Causal Modeling(DCM)
  • 中文刊名:XLXD
  • 英文刊名:Advances in Psychological Science
  • 机构:陕西省行为与认知神经科学重点实验室陕西师范大学心理学院;
  • 出版日期:2018-02-02 10:09
  • 出版单位:心理科学进展
  • 年:2018
  • 期:v.26;No.211
  • 基金:国家自然科学基金(31671167,31400966)
  • 语种:中文;
  • 页:XLXD201803001
  • 页数:10
  • CN:03
  • ISSN:11-4766/R
  • 分类号:5-14
摘要
从神经网络的角度研究词汇阅读的大脑神经机制,需要揭示语义和语音神经回路的动态协作机制,而语义加工神经回路是探讨该问题的一个亟待解决的瓶颈问题。利用汉字表义的独特性,以形旁语义作用的神经机制为切入点,计划开展的4个fMRI实验拟探讨汉字阅读的语义神经回路及其与语音回路的动态协作机制。实验1利用多参数相关分析技术,识别与汉字语义和语音属性相关的功能脑区;实验2和实验3集中考察形旁语义加工的大脑神经机制,深入探讨形旁语义作用的实质,揭示汉字阅读中语义加工的神经回路;实验4通过建构汉字阅读的动态因果模型,考察在刺激驱动和任务调节下,阅读相关脑区联结模式的动态变化,阐明语义和语音神经回路的相互协作机制。研究结果将从跨语言的角度,阐明阅读神经网络的内部动态机制,为联结主义理论提供神经生理方面的直接证据;并为基于脑科学的教育教学和阅读障碍矫治等实践应用提供理论依据。
        An increasing interest has focused on unifying the cognitive and neurobiological models of language processing with mounting evidence reported in recent years. A bottleneck problem emerged out to reveal the neural circuit of semantic processing. However, this issue remains unresolved because of the limitation of alphabetic languages. Taking the advantage of systematic mapping from orthography to meaning in Chinese characters, the proposed project aims to investigate the neural circuit of semantic processing and its cooperative division of labor with the neural circuit of phonological processing in reading Chinese characters. Study 1 is designed to identify the function regions involved in Chinese character reading by correlating the BOLD signal with the time series coding of stimulus properties. Study 2 focuses on the neural circuit of semantic processing. The first step is to examine the neural mechanism for the processing of semantic components and its influence on the processing of whole characters' meaning. The further analysis is to investigate the nature of the involving of prior semantic related brain regions in the processing of semantic components. Study 3 adapts the Dynamic Causal Model(DCM) to examine the patterns of the connectivity among regions of reading network driven both by the stimulus properties and task demands. The expected findings will reveal the dynamic of the cooperation between the neural circuits of semantic and phonological processing. The results can provide evidence in unifying the cognitive and neurobiological models of language processing. Also, the results will provide theoretical guidance for empirical studies and applications, such as language teaching, treatment of reading disorders and clinical diagnoses.
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