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单词片段启动的电生理指标有助于刻画言语识别的神经阶段。

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

作者信息

Friedrich Claudia K, Schild Ulrike, Röder Brigitte

机构信息

University of Hamburg, Department of Biological Psychology and Neuropsychology, Hamburg, Germany.

出版信息

Biol Psychol. 2009 Jan;80(1):105-13. doi: 10.1016/j.biopsycho.2008.04.012. Epub 2008 May 3.

Abstract

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.

摘要

口语起始音节(启动片段)已被用于追踪后续书面单词(目标词)的神经生理加工过程。与匹配目标词(如dra-dragon)相比,对于不匹配其前导启动片段的目标词(如hun-dragon),左半球300至400毫秒的事件相关电位(ERP)更正。这种P350效应与模态独立神经词形表征的激活有关。在本实验中,我们旨在表征特定于听觉领域的神经词加工过程。口语起始音节(启动片段)之后是口语单词(目标词)。在N100和T复合波(100 - 300毫秒)、P350(300 - 400毫秒)以及从300毫秒开始的中央负波中,发现匹配目标词的波幅降低。早期电位可能指示语音加工的启动。P350重复了之前关于书面单词的研究结果。这为听觉和视觉单词识别中共享神经词形表征提供了进一步的证据。中央负波可能与启动片段和目标词的快速语音匹配有关;或者与语音识别中语音预期的即时检测有关。

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