Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing.

IF 4.4 2区 医学 Q1 NEUROSCIENCES
I M Dushyanthi Karunathilake, Christian Brodbeck, Shohini Bhattasali, Philip Resnik, Jonathan Z Simon
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Abstract

When we listen to speech, our brain's neurophysiological responses "track" its acoustic features, but it is less well understood how these auditory responses are enhanced by linguistic content. Here, we recorded magnetoencephalography responses while subjects of both sexes listened to four types of continuous speechlike passages: speech envelope-modulated noise, English-like nonwords, scrambled words, and a narrative passage. Temporal response function (TRF) analysis provides strong neural evidence for the emergent features of speech processing in the cortex, from acoustics to higher-level linguistics, as incremental steps in neural speech processing. Critically, we show a stepwise hierarchical progression of progressively higher-order features over time, reflected in both bottom-up (early) and top-down (late) processing stages. Linguistically driven top-down mechanisms take the form of late N400-like responses, suggesting a central role of predictive coding mechanisms at multiple levels. As expected, the neural processing of lower-level acoustic feature responses is bilateral or right lateralized, with left lateralization emerging only for lexicosemantic features. Finally, our results identify potential neural markers, linguistic-level late responses, derived from TRF components modulated by linguistic content, suggesting that these markers are indicative of speech comprehension rather than mere speech perception.

语音特征处理的神经动力学:从声学到句子处理的特征进展的证据。
当我们听别人讲话时,我们大脑的神经生理反应会“跟踪”它的声学特征,但人们不太清楚这些听觉反应是如何被语言内容增强的。在这里,我们记录了两性受试者在听四种类型的连续类语音段落时的脑磁图反应:语音包膜调制噪声、类英语非单词、混乱单词和叙事段落。时间反应函数(TRF)分析提供了强有力的神经证据,证明了从声学到高级语言学的皮层语音处理的突发性特征,作为神经语音处理的增量步骤。关键的是,我们展示了一个逐步高阶特征随时间的逐步分层发展,反映在自下而上(早期)和自上而下(后期)的处理阶段。语言驱动的自上而下机制以后期n400样反应的形式出现,表明预测编码机制在多个层面上发挥着核心作用。正如预期的那样,低水平声学特征反应的神经处理是双侧或右侧化的,左侧化只出现在词汇语义特征上。最后,我们的研究结果确定了潜在的神经标记,即语言水平的后期反应,这些标记来自于受语言内容调节的TRF成分,表明这些标记表明语音理解而不仅仅是语音感知。我们研究了语音从声音信号演变为有意义语言的神经处理机制,使用的刺激范围从没有任何语言信息到完全格式良好的语言内容。基于语音和语言层次的计算模型表明,随着声音输入中语义信息的增加,皮层响应时间锁定在从声学到语言过程的紧急特征上。时间反应函数(TRFs)揭示了语音和语言阶段展开时毫秒级的处理动态。每个语音特征都经历了加工的早期和后期,前者受自下而上的激活驱动,后者受自上而下的机制影响。这些见解增强了我们对听觉语言处理的层次本质的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Neuroscience
Journal of Neuroscience 医学-神经科学
CiteScore
9.30
自引率
3.80%
发文量
1164
审稿时长
12 months
期刊介绍: JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles
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