Speech rhythms and multiplexed oscillatory sensory coding in the human brain.

Speech rhythms and multiplexed oscillatory sensory coding in the human brain.
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DOI:
10.1371/journal.pbio.1001752
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发表时间:
2013-12
期刊:
影响因子:
9.8
通讯作者:
Garrod S
Garrod S
中科院分区:
生物学1区
文献类型:
--
作者:
Gross J;Hoogenboom N;Thut G;Schyns P;Panzeri S;Belin P;Garrod S

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一项神经成像研究揭示了不同频率的耦合脑振荡如何与连续语音的准节奏特征(如韵律、音节和音素)相一致。皮层振荡可能是连续语音的分割和编码的候选者。在这里,我们监测连续语音处理脑磁图(MEG)解开语音分割和编码的原则。我们证明,语音夹带的相位的低频(δ,θ)和振幅的高频(伽马)振荡的听觉皮层。右侧听觉皮层的相位夹带较强,左侧听觉皮层的振幅夹带较强。此外,语音包络相位中的边缘重置听觉皮层振荡,从而增强它们对语音的夹带。该机制适应于语音包络的变化的物理特征,并实现高效的、刺激特定的语音采样。最后,我们表明,在听觉皮层,三角洲,θ和伽马振荡之间的耦合增加语音边缘。重要的是,所有耦合(即,大脑语言和皮层内)衰减向后呈现的语言,这表明自上而下的控制。我们的结论是分割和编码的语音依赖于一个嵌套的层次结构的夹带皮层振荡。连续语音被组织成具有不同时间尺度的准节奏成分(韵律、音节、音素)的嵌套层次结构。有趣的是,人类听觉皮层的神经活动显示出与这些语音节奏相匹配的频率的节奏调制。在这里,我们使用脑磁图和信息理论来研究参与者在处理连续语音时的脑振荡。我们发现,听觉脑振荡在不同的频率与语音的节奏结构。当参与者听的是可理解的而不是不可理解的语音时,这种对齐更加精确。语言的开始会重置大脑振荡,并改善它们与语言节奏的一致性;它还改善了听觉皮层中嵌套的不同频率的大脑振荡之间的一致性。由于这些脑振荡反映了神经兴奋性的节律变化,因此它们是用于在对应于关键语音成分(如音节和音素)的不同时间尺度上介导连续语音的分割的强有力的候选者。
A neuroimaging study reveals how coupled brain oscillations at different frequencies align with quasi-rhythmic features of continuous speech such as prosody, syllables, and phonemes. Cortical oscillations are likely candidates for segmentation and coding of continuous speech. Here, we monitored continuous speech processing with magnetoencephalography (MEG) to unravel the principles of speech segmentation and coding. We demonstrate that speech entrains the phase of low-frequency (delta, theta) and the amplitude of high-frequency (gamma) oscillations in the auditory cortex. Phase entrainment is stronger in the right and amplitude entrainment is stronger in the left auditory cortex. Furthermore, edges in the speech envelope phase reset auditory cortex oscillations thereby enhancing their entrainment to speech. This mechanism adapts to the changing physical features of the speech envelope and enables efficient, stimulus-specific speech sampling. Finally, we show that within the auditory cortex, coupling between delta, theta, and gamma oscillations increases following speech edges. Importantly, all couplings (i.e., brain-speech and also within the cortex) attenuate for backward-presented speech, suggesting top-down control. We conclude that segmentation and coding of speech relies on a nested hierarchy of entrained cortical oscillations. Continuous speech is organized into a nested hierarchy of quasi-rhythmic components (prosody, syllables, phonemes) with different time scales. Interestingly, neural activity in the human auditory cortex shows rhythmic modulations with frequencies that match these speech rhythms. Here, we use magnetoencephalography and information theory to study brain oscillations in participants as they process continuous speech. We show that auditory brain oscillations at different frequencies align with the rhythmic structure of speech. This alignment is more precise when participants listen to intelligible rather than unintelligible speech. The onset of speech resets brain oscillations and improves their alignment to speech rhythms; it also improves the alignment between the different frequencies of nested brain oscillations in the auditory cortex. Since these brain oscillations reflect rhythmic changes in neural excitability, they are strong candidates for mediating the segmentation of continuous speech at different time scales corresponding to key speech components such as syllables and phonemes.
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