The Neural Correlates of the Interaction between Semantic and Phonological Processing for Chinese Character Reading.
The Neural Correlates of the Interaction between Semantic and Phonological Processing for Chinese Character Reading.
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汉字阅读语义和语音处理相互作用的神经关联
DOI：
10.3389/fpsyg.2016.00947
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发表时间：
2016
影响因子：
3.8
通讯作者：
Yang J
中科院分区：
文献类型：
--
作者：
Wang X;Zhao R;Zevin JD;Yang J
视觉单词识别涉及拼写，语音和语义代码之间的映射。在字母语言中，很难理清这些代码的影响，因为拼写形式良好的单词通常是可发音的，混淆了拼写和语音过程，而拼写对意义的提示很少，它们出现的地方是形态，混淆了拼写和语义过程。在汉字识别中，利用汉语形声字中语音和语义成分的不同，可以独立地研究正字法-音（O-P）和正字法-义（O-S）的过程。我们分析了从功能磁共振成像实验中使用的词汇决定汉字，探讨与字符识别的正字法，语音和语义处理相关的区域的敏感性。首先，使用相关性方法来识别与反应时间、频率、一致性和视觉复杂性相关的区域。然后，这些感兴趣区进行了检查，他们的反应与不同类型的信息刺激。这些结果揭示了两条神经通路，一条是以左侧颞中回和角回为基础的O-S加工通路，另一条是以额下回和额下回为基础的O-P加工通路。这两条神经通路构成了一个真实的和伪字符的共享神经网络，它们的合作分工反映了处理不同类型字符的神经基础。结果与字母语言的研究结果大致一致，正如阅读模型所预测的那样，该模型假设了相同的一般架构，用于语标和字母脚本。
Visual word recognition involves mappings among orthographic, phonological, and semantic codes. In alphabetic languages, it is hard to disentangle the effects of these codes, because orthographically well-formed words are typically pronounceable, confounding orthographic and phonological processes, and orthographic cues to meaning are rare, and where they occur are morphological, confounding orthographic and semantic processes. In Chinese character recognition, it is possible to explore orthography to phonology (O-P) and orthography to semantics (O-S) processes independently by taking advantage of the distinct phonetic and semantic components in Chinese phonograms. We analyzed data from an fMRI experiment using lexical decision for Chinese characters to explore the sensitivity of areas associated with character recognition to orthographic, phonological, and semantic processing. First, a correlation approach was used to identify regions associated with reaction time, frequency, consistency and visual complexity. Then, these ROIs were examined for their responses to stimuli with different types of information available. These results revealed two neural pathways, one for O-S processing relying on left middle temporal gyrus and angular gyrus, and the other for O-P processing relying on inferior frontal gyrus and insula. The two neural routes form a shared neural network both for real and pseudo-characters, and their cooperative division of labor reflects the neural basis for processing different types of characters. Results are broadly consistent with findings from alphabetic languages, as predicted by reading models that assume the same general architecture for logographic and alphabetic scripts.