Wang Xiaojuan, Zhao Rong, Zevin Jason D, Yang Jianfeng
Key Lab for Behavior & Cognitive Neuroscience of Shaanxi Province, School of Psychology, Shaanxi Normal University Xi'an, China.
Department of Psychology and Linguistics, University of Southern California, Los Angeles CA, USA.
Front Psychol. 2016 Jun 23;7:947. doi: 10.3389/fpsyg.2016.00947. eCollection 2016.
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.
视觉单词识别涉及正字法、语音和语义代码之间的映射。在字母语言中,很难区分这些代码的影响,因为拼写规范的单词通常是可发音的,这混淆了正字法和语音过程,而且指向意义的正字法线索很少,并且它们出现的地方是形态学上的,这又混淆了正字法和语义过程。在汉字识别中,利用汉字形声字中不同的语音和语义成分,可以独立地探究从正字法到语音(O-P)和从正字法到语义(O-S)的过程。我们分析了一项功能性磁共振成像(fMRI)实验的数据,该实验使用汉字词汇判断来探究与汉字识别相关的脑区对正字法、语音和语义加工的敏感性。首先,采用相关分析方法来识别与反应时间、词频、一致性和视觉复杂度相关的脑区。然后,检查这些感兴趣区域(ROIs)对包含不同类型信息的刺激的反应。这些结果揭示了两条神经通路,一条用于依赖左颞中回和角回的O-S加工,另一条用于依赖额下回和脑岛的O-P加工。这两条神经通路为真字和假字都形成了一个共享神经网络,它们的协同分工反映了处理不同类型汉字的神经基础。结果与字母语言的研究结果大致一致,这与假设表意文字和字母文字具有相同总体架构的阅读模型的预测相符。