Consonants and Vowels Contribute Differently to Visual Word Recognition: ERPs of Relative Position Priming
Consonants and Vowels Contribute Differently to Visual Word Recognition: ERPs of Relative Position Priming
复制标题
DOI：
10.1093/cercor/bhp019
复制
发表时间：
2009-11-01
期刊：
影响因子：
3.7
通讯作者：
Molinaro, Nicola
中科院分区：
文献类型：
--
作者：
Carreiras, Manuel;Andoni Dunabeitia, Jon;Molinaro, Nicola
本文表明，字母的性质（辅音与元音）调节了视觉单词识别过程中字母位置分配的过程。当参与者在蒙面启动语义分类任务中阅读单词时，我们记录了事件相关电位。一半的单词包含元音作为首字母、第三个和第五个字母（例如，acero [钢]）。另一半包括一个辅音作为声母、第三声和第五声（例如，farol [灯笼]）。目标前面可以是 1) 首字母、第三个和第五个字母（相对位置；例如 aeo-acero 和 frl-farol），2) 目标单词中未出现的 3 个辅音或元音（控制；例如 iui-acero 和 tsb-farol），或 3) 相同的单词（标识：acero-acero、farol-farol）。结果显示在 2 个时间窗口（175-250 和 350-450 ms）中进行了调制。由辅音组成的相对位置素数产生与同一性条件类似的效果。这2个与不相关的对照条件不同，表现出更大的负性。相反，由元音组成的相对位置素数与不相关的控制条件产生相似的效果，并且与同一条件相比，这两个素数表现出更大的负性。这一发现对于破解拼字法代码和开发视觉单词识别的计算模型具有重要影响。
This paper shows that the nature of letters-consonant versus vowel-modulates the process of letter position assignment during visual word recognition. We recorded Event Related Potentials while participants read words in a masked priming semantic categorization task. Half of the words included a vowel as initial, third, and fifth letters (e.g., acero [steel]). The other half included a consonant as initial, third, and fifth (e.g., farol [lantern]). Targets could be preceded 1) by the initial, third, and fifth letters (relative position; e.g., aeo-acero and frl-farol), 2) by 3 consonants or vowels that did not appear in the target word (control; e.g., iui-acero and tsb-farol), or 3) by the same words (identity: acero-acero, farol-farol). The results showed modulation in 2 time windows (175-250 and 350-450 ms). Relative position primes composed of consonants produced similar effects to the identity condition. These 2 differed from the unrelated control condition, which showed a larger negativity. In contrast, relative position primes composed of vowels produced similar effects to the unrelated control condition, and these 2 showed larger negativities as compared with the identity condition. This finding has important consequences for cracking the orthographic code and developing computational models of visual word recognition.