Kandylaki Katerina D, Henrich Karen, Nagels Arne, Kircher Tilo, Domahs Ulrike, Schlesewsky Matthias, Bornkessel-Schlesewsky Ina, Wiese Richard
1 Imperial College London.
2 Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.
J Cogn Neurosci. 2017 Jul;29(7):1119-1131. doi: 10.1162/jocn_a_01122. Epub 2017 Mar 15.
While listening to continuous speech, humans process beat information to correctly identify word boundaries. The beats of language are stress patterns that are created by combining lexical (word-specific) stress patterns and the rhythm of a specific language. Sometimes, the lexical stress pattern needs to be altered to obey the rhythm of the language. This study investigated the interplay of lexical stress patterns and rhythmical well-formedness in natural speech with fMRI. Previous electrophysiological studies on cases in which a regular lexical stress pattern may be altered to obtain rhythmical well-formedness showed that even subtle rhythmic deviations are detected by the brain if attention is directed toward prosody. Here, we present a new approach to this phenomenon by having participants listen to contextually rich stories in the absence of a task targeting the manipulation. For the interaction of lexical stress and rhythmical well-formedness, we found one suprathreshold cluster localized between the cerebellum and the brain stem. For the main effect of lexical stress, we found higher BOLD responses to the retained lexical stress pattern in the bilateral SMA, bilateral postcentral gyrus, bilateral middle fontal gyrus, bilateral inferior and right superior parietal lobule, and right precuneus. These results support the view that lexical stress is processed as part of a sensorimotor network of speech comprehension. Moreover, our results connect beat processing in language to domain-independent timing perception.
在聆听连续语音时,人类会处理节拍信息以正确识别单词边界。语言的节拍是通过结合词汇(特定于单词的)重音模式和特定语言的节奏而形成的重音模式。有时,需要改变词汇重音模式以遵循语言的节奏。本研究使用功能磁共振成像(fMRI)研究了自然语音中词汇重音模式与节奏良好性之间的相互作用。先前关于可能改变规则词汇重音模式以获得节奏良好性的案例的电生理研究表明,如果注意力指向韵律,即使是细微的节奏偏差也会被大脑检测到。在此,我们通过让参与者在没有针对操作的任务的情况下聆听上下文丰富的故事,提出了一种针对这一现象的新方法。对于词汇重音与节奏良好性的相互作用,我们发现一个超阈值簇位于小脑和脑干之间。对于词汇重音的主要效应,我们发现在双侧辅助运动区、双侧中央后回、双侧额中回、双侧顶下小叶和右侧楔前叶中,对保留的词汇重音模式有更高的血氧水平依赖(BOLD)反应。这些结果支持了词汇重音作为言语理解感觉运动网络一部分进行处理的观点。此外,我们的结果将语言中的节拍处理与非领域特定的时间感知联系起来。