跨语言和声学因素对多尺度神经同步应激节奏的影响

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2024-09-01 DOI:10.1016/j.bandl.2024.105463
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引用次数: 0

摘要

我们研究了神经振荡如何编码语音中压力节奏的层次性,以及压力处理如何随语言经验而变化。通过测量多级脑电图-声学跟踪的相位同步性和脑内跨频耦合,我们发现重音编码涉及不同的神经特征(delta 节律 = 重音脚速率;theta 节律 = 音节速率),对振幅与持续时间重音线索的作用更强,并诱发嵌套的 delta-theta 一致性,反映了语音中重音-音节的层次结构。只有以英语为母语的人,而不是以普通话为母语的人,在自然英语固有的中心重音(2 Hz)和音节(4 Hz)速率下表现出增强的神经诱导。具有卓越皮层重音跟踪能力的英语个体也表现出更强的神经层次连贯性,这凸显了大脑节奏的内部嵌套与植根于特定语言语音节奏的外部诱导之间微妙的相互作用。我们的跨语言研究结果表明,大脑与语音的同步并非纯粹是 "自下而上 "的,而是受益于听者特定语言经验的 "自上而下 "处理。
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Cross-linguistic and acoustic-driven effects on multiscale neural synchrony to stress rhythms

We investigated how neural oscillations code the hierarchical nature of stress rhythms in speech and how stress processing varies with language experience. By measuring phase synchrony of multilevel EEG-acoustic tracking and intra-brain cross-frequency coupling, we show the encoding of stress involves different neural signatures (delta rhythms = stress foot rate; theta rhythms = syllable rate), is stronger for amplitude vs. duration stress cues, and induces nested delta-theta coherence mirroring the stress-syllable hierarchy in speech. Only native English, but not Mandarin, speakers exhibited enhanced neural entrainment at central stress (2 Hz) and syllable (4 Hz) rates intrinsic to natural English. English individuals with superior cortical-stress tracking capabilities also displayed stronger neural hierarchical coherence, highlighting a nuanced interplay between internal nesting of brain rhythms and external entrainment rooted in language-specific speech rhythms. Our cross-language findings reveal brain-speech synchronization is not purely a “bottom-up” but benefits from “top-down” processing from listeners’ language-specific experience.

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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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