幼儿预测性句子处理过程中的神经振荡

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2024-06-14 DOI:10.1016/j.bandl.2024.105437
Carlos R. Benítez-Barrera , Mohammad Hossein Behboudi , Mandy J. Maguire
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引用次数: 0

摘要

语言中的预测处理是高效句子理解的关键,其神经相关性在成人中得到了充分的证实。具体来说,成人在处理高预测性句子与低预测性句子时,会表现出阿尔法功率(9-12 赫兹)抑制。本研究探讨了幼儿是否表现出类似的神经机制。我们分析了 29 名 3-5 岁儿童聆听不同可预测性句子时的脑电图数据。我们的结果显示,在 5-12 Hz 范围内,可预测性高的句子和可预测性低的句子之间存在明显的神经振荡差异,这与成人的模式类似。重要的是,这些差异的程度与儿童的语言能力相关。这些发现首次证明了幼儿预测处理的神经基础及其与语言发展的关系。
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Neural oscillations during predictive sentence processing in young children

The neural correlates of predictive processing in language, critical for efficient sentence comprehension, is well documented in adults. Specifically, adults exhibit alpha power (9–12 Hz) suppression when processing high versus low predictability sentences. This study explores whether young children exhibit similar neural mechanisms. We analyzed EEG data from 29 children aged 3–5 years listening to sentences of varying predictability. Our results revealed significant neural oscillation differences in the 5–12 Hz range between high and low predictability sentences, similar to adult patterns. Crucially, the degree of these differences correlated with children’s language abilities. These findings are the first to demonstrate the neural basis of predictive processing in young children and its association with language development.

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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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