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用失匹配负波检测抽象音高模式中的违规行为。

Detecting violation in abstract pitch patterns with mismatch negativity.

机构信息

Department of Psychology & Center for Cognition and Brain Studies, The Chinese University of Hong Kong, Hong Kong SAR, China.

出版信息

Psychophysiology. 2018 Aug;55(8):e13078. doi: 10.1111/psyp.13078. Epub 2018 Mar 23.

Abstract

The human brain automatically extracts regularities embedded in environmental auditory events. This study investigated the extraction of abstract patterns by measuring mismatch negativity (MMN). Participants watched a silent subtitled movie and ignored a sequence of auditory events comprising frequent standards and rare deviants presented in the background. Tone triplets with varying pitch (first-order property) served as the auditory events. The pitch intervals (interval 1 and interval 2) between the tones in a triplet and the ratio of interval 1 and 2 were considered second- and third-order properties, respectively. Both second- and third-order properties of the standards were kept constant in the mixed patterns block, while only the third-order property was kept constant in the ratio pattern block. Four sets of tone triplets violating the interval and ratio patterns with different deviance levels were presented as deviants in both blocks, and subtracted with physically identical stimuli in a control block to isolate the MMNs. Interval and ratio pattern deviants elicited MMNs in the mixed patterns block while only ratio pattern deviants elicited MMNs in the ratio pattern block. Larger MMNs were elicited by large deviants as compared to small deviants. These results suggest that the change detection system is sensitive to the violation of both second- and third-order abstract patterns. In addition to regularities in the abstract properties of auditory events, regularities in the relationships between abstract properties can also be extracted. This ability plays an important role in music and language perception.

摘要

人类大脑会自动提取环境听觉事件中嵌入的规律。本研究通过测量失匹配负波(MMN)来研究抽象模式的提取。参与者观看无声字幕电影,并忽略背景中呈现的一系列听觉事件,包括频繁的标准音和罕见的变调音。具有不同音高的音调三连音(一阶属性)用作听觉事件。在一个三连音中,音之间的音高间隔(间隔 1 和间隔 2)以及间隔 1 和 2 的比值分别被认为是二阶和三阶属性。在混合模式块中,标准音的二阶和三阶属性均保持不变,而在比值模式块中仅保持三阶属性不变。在这两个块中,四组违反间隔和比值模式的音调三连音作为变调音呈现,并用控制块中物理上相同的刺激相减,以分离 MMN。间隔和比值模式变调在混合模式块中诱发 MMN,而仅比值模式变调在比值模式块中诱发 MMN。与小变调相比,大变调诱发的 MMN 更大。这些结果表明,变化检测系统对二阶和三阶抽象模式的违反都很敏感。除了听觉事件的抽象属性的规律之外,抽象属性之间的关系的规律也可以被提取。这种能力在音乐和语言感知中起着重要的作用。

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