Low-frequency cortical responses to natural speech reflect probabilistic phonotactics
Low-frequency cortical responses to natural speech reflect probabilistic phonotactics
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DOI：
10.1016/j.neuroimage.2019.04.037
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发表时间：
2019-08-01
期刊：
影响因子：
5.7
通讯作者：
de Cheveigne, Alain
中科院分区：
文献类型：
--
作者：
Di Liberto, Giovanni M.;Wong, Daniel;de Cheveigne, Alain
尽管存在发音错误和嘈杂环境等各种挑战，人类仍能理解语言。我们的听觉系统对这些是强大的，这要归功于感觉输入与建立在特定语言规则上的先验知识和预期的整合。一种这样的规律性与可允许的音素序列有关，该音素序列确定一个单词属于给定语言的可能性(音位趋向性概率；“blick”比“bnick”更有可能是一个英语单词)。先前的研究表明，违反这些规则会调节大脑诱发的反应。然而，一些基本的问题仍然没有得到解决，特别是在自然条件下，当没有(或很少)违反规则的情况下，关于声学的神经编码和整合策略。在这里，我们使用线性模型来评估音向概率对非侵入性脑电测量的叙述性语音的大脑反应的影响。我们发现，当刺激描述符包括音向概率时，连续语音和脑电反应之间的关系得到了最好的描述。这表明低频大脑皮层信号(
Humans comprehend speech despite the various challenges such as mispronunciation and noisy environments. Our auditory system is robust to these thanks to the integration of the sensory input with prior knowledge and expectations built on language-specific regularities. One such regularity regards the permissible phoneme sequences, which determine the likelihood that a word belongs to a given language (phonotactic probability; "blick" is more likely to be an English word than "bnick"). Previous research demonstrated that violations of these rules modulate brain-evoked responses. However, several fundamental questions remain unresolved, especially regarding the neural encoding and integration strategy of phonotactics in naturalistic conditions, when there are no (or few) violations. Here, we used linear modelling to assess the influence of phonotactic probabilities on the brain responses to narrative speech measured with non-invasive EEG. We found that the relationship between continuous speech and EEG responses is best described when the stimulus descriptor includes phonotactic probabilities. This indicates that low-frequency cortical signals (