Rapid and efficient speech processing benefits from the prediction derived from prior expectations based on the identification of individual words. It is known that speech processing is carried out within a distributed frontotemporal network. However, the spatiotemporal causal dynamics of predictive brain mechanisms in sound-to-meaning mapping within this network remain unclear. Using magnetoencephalography, we adopted a semantic anomaly paradigm which consists of expected, unexpected and time-reversed Mandarin Chinese speech, and localized the effects of violated expectation in frontotemporal brain regions, the sensorimotor cortex and the supramarginal gyrus from 250 ms relative to the target words. By further investigating the causal cortical dynamics, we provided the description of the causal dynamic network within the framework of the dual stream model, and highlighted the importance of the connections within the ventral pathway, the top-down modulation from the left inferior frontal gyrus and the cross-stream integration during the speech processing of violated expectation.

中文翻译：

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语音处理过程中预测性大脑机制的时空动态：一项 MEG 研究

快速有效的语音处理受益于基于单个单词识别的先验期望得出的预测。众所周知，语音处理是在分布式额颞网络中进行的。然而，该网络中声音到意义映射中预测性大脑机制的时空因果动态仍不清楚。使用脑磁图，我们采用了语义异常范式，该范式由预期的、意外的和时间反转的普通话汉语语音组成，并从相对于目标词的 250 ms 定位了违反预期对额颞脑区域、感觉运动皮层和边缘上回的影响. 通过进一步研究因果皮质动力学，