Electrophysiological indices of word fragment priming allow characterizing neural stages of speech recognition

Electrophysiological indices of word fragment priming allow characterizing neural stages of speech recognition
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DOI:
10.1016/j.biopsycho.2008.04.012
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发表时间:
2009-01-01
影响因子:
2.6
通讯作者:
Roeder, Brigitte
Roeder, Brigitte
中科院分区:
医学3区
文献类型:
--
作者:
Friedrich, Claudia K.;Schild, Ulrike;Roeder, Brigitte

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口语单词起始音节(主要片段)已被用于跟踪以下书面单词(目标)的神经生理学处理。在300和400 ms之间,左半球的事件相关电位(ERP)对于与其先前的主要片段不匹配的靶点(例如,Hun-龙)与匹配目标(例如,dragon)。这种P350效应与通道无关的神经词形表征的激活有关。在本实验中,我们开始描述特定于听觉域的神经文字处理。口语单词起始音节(主要片段)之后是口语单词(目标)。降低幅度的匹配目标被发现为N100和T-复合体(100-300毫秒),为P350(300-400毫秒),并为中央负开始在300毫秒。早期电位可能索引的启动语音声音处理。P350复制了以前的工作与书面文字。这进一步证明了听觉和视觉单词识别中的共同神经单词形式表征。中心负性可能与启动和目标的快速语音匹配有关,或者与语音识别中语音期望的即时测试有关。(c)2008 Elsevier B. V.保留所有权利。
Spoken word onset syllables (prime fragments) have been used to track neurophysiological processing of following written words (targets). Between 300 and 400 ms event-related potentials (ERPs) over the left hemisphere were more positive for targets that did not match their preceding prime fragments (e.g., hun-dragon) compared to matching targets (e.g., dra-dragon). This P350 effect has been related to the activation of modality independent neural word form representations. In the present experiment we set out to characterize neural word processing specific to the auditory domain. Spoken word onset syllables (prime fragments) were followed by spoken words (targets). Reduced amplitudes for matching targets were found for the N100 and the T-complex (100-300 ms), for the P350 (300-400 ms) and for a central negativity starting at 300 ms. The early potentials possibly index the priming of speech sound processing. The P350 replicates previous work with written words. This constitutes further evidence for shared neural word form representations in auditory and visual word recognition. The central negativity might be related to the rapid phonological matching of prime and target; or to the immediate testing of phonological expectations in speech recognition. (c) 2008 Elsevier B.V. All rights reserved.