Daytime naps consolidate Cantonese tone learning through promoting cross-talker perception: The role of prior knowledge

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Quentin Zhen Qin , Ruofan Wu , Caicai Zhang
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引用次数: 0

Abstract

This study investigates whether daytime naps facilitate perceptual learning of Cantonese tones and how prior knowledge mediates the consolidation effect. Ninety Mandarin native speakers were pseudo-randomly assigned to either a nap group, who napped for 1.5 h with brain activities recorded, or the non-nap group, who rested for 1.5 h. They were trained with Cantonese contour-level tonal contrasts and level-level tonal contrasts, followed by a tone identification task (trained talker) before the nap manipulation, and were re-tested (trained and novel talkers) after the nap. The results showed that naps facilitated Cantonese tone learning, with the nap group outperforming the non-nap group in the cross-talker perception. The cross-talker perception effect was specific to contour-level tonal contrasts (consistent with prior knowledge) and was associated with increased sleep spindles and slow oscillations. The findings suggest that prior knowledge plays an important role in prioritizing contour-level tonal contrasts for memory consolidation.
白天小睡通过促进相声者感知巩固粤语声调学习:先验知识的作用
本研究探讨了白天小睡是否促进粤语声调的知觉学习,以及先验知识如何介导巩固效应。90名以普通话为母语的人被随机分配到小睡组和非小睡组,小睡组记录1.5小时的大脑活动,而非小睡组则休息1.5小时。他们接受广东话等高水平声调对比和水平水平声调对比的训练,然后在小睡操作之前进行音调识别任务(训练有素的说话者),并在小睡后进行重新测试(训练有素的和新说话者)。结果表明,午睡有助于粤语声调学习,午睡组在相声感知方面表现优于非午睡组。相声者感知效应是特定于轮廓水平的音调对比(与先前的知识一致),并与睡眠纺锤波增加和慢振荡有关。研究结果表明,先验知识在记忆巩固的轮廓级音调对比中起着重要作用。
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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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