Huang Koongliang, Itoh Kosuke, Suwazono Shugo, Nakada Tsutomu
Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, 1-757 Asahimachi-dori, Niigata 951-8585, Japan.
Neurosci Lett. 2004 Aug 19;366(3):254-8. doi: 10.1016/j.neulet.2004.05.099.
The cortical processes underlying grapheme-phoneme conversion were investigated by event-related potentials (ERPs). The task consisted of silent reading or vowel-matching of three Japanese hiragana characters, each representing a consonant-vowel syllable. At earlier latencies, typical components of the visual ERP, namely, P1 (110 ms), N1 (170 ms) and P2 (300 ms), were elicited in the temporo-occipital area for both tasks as well as control task (observing the orthographic shapes of three Korean characters). Following these earlier components, two sustained negativities were identified. The earlier sustained negativity, referred here to as SN1, was found in both the silent-reading and vowel-matching task but not in the control task. The scalp distribution of SN1 was over the left occipito-temporal area, with maximum amplitude over O1. The amplitude of SN1 was larger in the vowel-matching task compared to the silent-reading task, consistent with previous reports that ERP amplitude correlates with task difficulty. SN2, the later sustained negativity, was only observed in the vowel-matching task. The scalp distribution of SN2 was over the midsagittal centro-parietal area with maximum amplitude over Cz. Elicitation of SN2 in the vowel-matching task suggested that the vowel-matching task requires a wider range of neural activities exceeding the established conventional area of language processing.
通过事件相关电位(ERP)研究了字素-音素转换背后的皮层过程。任务包括默读或对三个日语音节假名进行元音匹配,每个假名代表一个辅音-元音音节。在较早的潜伏期,视觉ERP的典型成分,即P1(110毫秒)、N1(170毫秒)和P2(300毫秒),在颞枕区针对这两项任务以及对照任务(观察三个韩文字符的正字法形状)均被诱发。在这些较早的成分之后,识别出了两个持续的负波。较早的持续负波,这里称为SN1,在默读和元音匹配任务中均被发现,但在对照任务中未被发现。SN1的头皮分布在左枕颞区,在O1处振幅最大。与默读任务相比,SN1在元音匹配任务中的振幅更大,这与之前关于ERP振幅与任务难度相关的报道一致。SN2是较晚的持续负波,仅在元音匹配任务中观察到。SN2的头皮分布在矢状中顶区,在Cz处振幅最大。在元音匹配任务中诱发SN2表明,元音匹配任务需要超出既定传统语言处理区域的更广泛的神经活动。