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Musical Training Enhances Automatic Encoding of Melodic Contour and Interval Structure

机译:音乐训练可增强旋律轮廓和间隔结构的自动编码

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In music, melodic information is thought to be encoded in two forms, a contour code (up/down pattern of pitch changes) and an interval code (pitch distances between successive notes). A recent study recording the mismatch negativity (MMN) evoked by pitch contour and interval deviations in simple melodies demonstrated that people with no formal music education process both contour and interval information in the auditory cortex automatically. However, it is still unclear whether musical experience enhances both strategies of melodic encoding. We designed stimuli to examine contour and interval information separately. In the contour condition there were eight different standard melodies (presented on 80% of trials), each consisting of five notes all ascending in pitch, and the corresponding deviant melodies (20%) were altered to descending on their final note. The interval condition used one five-note standard melody transposed to eight keys from trial to trial, and on deviant trials the last note was raised by one whole tone without changing the pitch contour. There was also a control condition, in which a standard tone (990.7 Hz) and a deviant tone (1111.0 Hz) were presented. The magnetic counterpart of the MMN (MMNm) from musicians and nonmusicians was obtained as the difference between the dipole moment in response to the standard and deviant trials recorded by magnetoencephalography. Significantly larger MMNm was present in musicians in both contour and interval conditions than in nonmusicians, whereas MMNm in the control condition was similar for both groups. The interval MMNm was larger than the contour MMNm in musicians. No hemispheric difference was found in either group. The results suggest that musical training enhances the ability to automatically register abstract changes in the relative pitch structure of melodies.
机译:在音乐中,旋律信息被认为是以两种形式编码的,即轮廓码(音高变化的上下模式)和间隔码(连续音符之间的音高距离)。一项最近的研究记录了简单旋律中音高轮廓和间隔偏差引起的失配否定性(MMN),表明没有正规音乐教育的人们会自动在听觉皮层中处理轮廓和间隔信息。然而,尚不清楚音乐体验是否能增强两种旋律编码策略。我们设计了刺激来分别检查轮廓和间隔信息。在轮廓条件下,有八种不同的标准旋律(在80%的试验中出现),每个由五个音符组成,所有音调都在上升,并且相应的异常旋律(20%)被更改为降序为最后的音符。间隔条件使用一个五音符标准旋律,从一个试验到另一个试验,移到八个琴键,并且在异常的试验中,最后一个音符在不改变音高轮廓的情况下被提高了整个音调。还有一个控制条件,其中呈现标准音(990.7 Hz)和偏差音(1111.0 Hz)。获得了来自音乐家和非音乐家的MMN的磁性对应物(MMNm),作为对脑磁图记录的标准试验和异常试验的偶极矩之间的差异。与非音乐家相比,轮廓和间隔条件下音乐家的MMNm明显多,而对照组的MMNm两组相似。在音乐家中,间隔MMNm大于轮廓MMNm。两组均未发现半球差异。结果表明,音乐训练增强了自动记录旋律的相对音高结构中的抽象变化的能力。

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