六岁儿童语词语法能力与节拍加工神经标记的个体差异

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2023-11-01 DOI:10.1016/j.bandl.2023.105345
Valentina Persici , Scott D. Blain , John R. Iversen , Alexandra P. Key , Sonja A. Kotz , J. Devin McAuley , Reyna L. Gordon
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引用次数: 0

摘要

基于神经活动建立了有规律的注意力波动,促进了音乐和语言的分层处理这一观点,我们假设句法(语法)技能的个体差异可以部分地用神经对音乐节奏的反应模式来解释。为了验证这一假设,我们使用脑电图(EEG)记录了儿童(N = 25)被动聆听诱发不同节拍感知的节奏模式时的神经活动。对诱发β和γ活动的分析表明,对节奏的神经反应的个体差异解释了六岁儿童表达语法能力的差异,这超出了他们在行为节奏感知任务中的表现,并与之互补。这些结果强化了神经节拍携带机制可能是一种支持音乐和语言分层处理的共享神经资源的观点,并提出了在小学学龄儿童中节奏处理和语法能力之间关系的相关标记,以前只在行为上观察到。
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Individual differences in neural markers of beat processing relate to spoken grammar skills in six-year-old children

Based on the idea that neural entrainment establishes regular attentional fluctuations that facilitate hierarchical processing in both music and language, we hypothesized that individual differences in syntactic (grammatical) skills will be partly explained by patterns of neural responses to musical rhythm. To test this hypothesis, we recorded neural activity using electroencephalography (EEG) while children (N = 25) listened passively to rhythmic patterns that induced different beat percepts. Analysis of evoked beta and gamma activity revealed that individual differences in the magnitude of neural responses to rhythm explained variance in six-year-olds’ expressive grammar abilities, beyond and complementarily to their performance in a behavioral rhythm perception task. These results reinforce the idea that mechanisms of neural beat entrainment may be a shared neural resource supporting hierarchical processing across music and language and suggest a relevant marker of the relationship between rhythm processing and grammar abilities in elementary-school-age children, previously observed only behaviorally.

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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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