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Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI.

机译:使用基于多元模式的功能磁共振成像研究大脑旋律轮廓处理。

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摘要

Music perception generally involves processing the frequency relationships between successive pitches and extraction of the melodic contour. Previous evidence has suggested that the 'ups' and 'downs' of melodic contour are categorically and automatically processed, but knowledge of the brain regions that discriminate different types of contour is limited. Here, we examined melodic contour discrimination using multivariate pattern analysis (MVPA) of fMRI data. Twelve non-musicians were presented with various ascending and descending melodic sequences while being scanned. Whole-brain MVPA was used to identify regions in which the local pattern of activity accurately discriminated between contour categories. We identified three distinct cortical loci: the right superior temporal sulcus (rSTS), the left inferior parietal lobule (lIPL), and the anterior cingulate cortex (ACC). These results complement previous findings of melodic processing within the rSTS, and extend our understanding of the way in which abstract auditory sequences are categorized by the human brain.
机译:音乐感知通常涉及处理连续音高之间的频率关系和旋律轮廓的提取。先前的证据表明,旋律轮廓的“起伏”是自动分类处理的,但是区分不同轮廓类型的大脑区域的知识是有限的。在这里,我们使用功能磁共振成像数据的多元模式分析(MVPA)检查了旋律轮廓鉴别。十二位非音乐家在被扫描时被呈现出各种升序和降序的旋律序列。使用全脑MVPA来识别轮廓轮廓类别之间准确区分出局部活动模式的区域。我们确定了三个不同的皮质位点:右颞颞沟(rSTS),左下顶叶(lIPL)和前扣带回皮质(ACC)。这些结果补充了先前在rSTS中进行旋律处理的发现,并扩展了我们对人脑对抽象听觉序列进行分类的方式的理解。

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