从音乐到语音的跨域前音引物的 ERP 证据。

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2024-07-01 DOI:10.1016/j.bandl.2024.105439
Mingjiang Sun , Weijing Xing , Wenjing Yu , L. Robert Slevc , Weijun Li
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引用次数: 0

摘要

已有大量研究对音乐和语言处理之间的相似性进行了探讨,但典型、真实的音乐是否能通过跨域引物影响语音处理仍不清楚。为了研究这个问题,我们测量了音乐短语和句法含糊的中文短语的ERPs,这些短语可以通过早期或晚期的前音界限来区分。音乐质点也有早期或晚期的前音边界,我们要求参与者判断质点和目标是否具有相同的结构。在音乐短语中,前音界限引起的 N1 成分减少,P2 成分增强(相对于无界限条件),而有晚期界限的音乐短语则表现出闭合正移(CPS)成分。更重要的是,与无引物的乐句相比,有引物的目标乐句引起的 CPS 更小,无论模棱两可的乐句类型如何。这些结果表明,前音引物可以跨领域出现,支持了音乐和语言处理中存在共同的神经过程。
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ERP evidence for cross-domain prosodic priming from music to speech

Considerable work has investigated similarities between the processing of music and language, but it remains unclear whether typical, genuine music can influence speech processing via cross-domain priming. To investigate this, we measured ERPs to musical phrases and to syntactically ambiguous Chinese phrases that could be disambiguated by early or late prosodic boundaries. Musical primes also had either early or late prosodic boundaries and we asked participants to judge whether the prime and target have the same structure. Within musical phrases, prosodic boundaries elicited reduced N1 and enhanced P2 components (relative to the no-boundary condition) and musical phrases with late boundaries exhibited a closure positive shift (CPS) component. More importantly, primed target phrases elicited a smaller CPS compared to non-primed phrases, regardless of the type of ambiguous phrase. These results suggest that prosodic priming can occur across domains, supporting the existence of common neural processes in music and language processing.

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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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