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首页> 外文期刊>Neuron >Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex.
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Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex.

机译：神经元反应的相位模式可可靠地区分人类听觉皮层中的语音。

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摘要

How natural speech is represented in the auditory cortex constitutes a major challenge for cognitive neuroscience. Although many single-unit and neuroimaging studies have yielded valuable insights about the processing of speech and matched complex sounds, the mechanisms underlying the analysis of speech dynamics in human auditory cortex remain largely unknown. Here, we show that the phase pattern of theta band (4-8 Hz) responses recorded from human auditory cortex with magnetoencephalography (MEG) reliably tracks and discriminates spoken sentences and that this discrimination ability is correlated with speech intelligibility. The findings suggest that an approximately 200 ms temporal window (period of theta oscillation) segments the incoming speech signal, resetting and sliding to track speech dynamics. This hypothesized mechanism for cortical speech analysis is based on the stimulus-induced modulation of inherent cortical rhythms and provides further evidence implicating the syllable as a computational primitive for the representation of spoken language.
机译：如何在听觉皮层中表达自然语言构成了认知神经科学的主要挑战。尽管许多单单元和神经影像学研究已经对语音和匹配的复杂声音的处理产生了有价值的见解，但是在人类听觉皮层中进行语音动力学分析的基础机制仍然未知。在这里，我们表明人类听觉皮层与脑磁图（MEG）记录的θ带（4-8 Hz）响应的相位模式可靠地跟踪和区分口头句子，并且这种辨别能力与语音清晰度相关。这些发现表明，大约200 ms的时间窗（θ振荡周期）会分割传入的语音信号，进行重置并滑动以跟踪语音动态。这种用于皮层语音分析的假设机制基于刺激诱发的内在皮层节奏的调制，并提供了进一步的证据，表明该音节是口语表达的一种计算原语。

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