Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI
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...
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Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2011-07, Vol.57 (1), p.293-300 |
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Zusammenfassung: | 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.
► Similarity relationships among melodic fragments are perceived by non-musicians ► Direction and slope form are two dimensions of perceived melodic contour ► Multi-voxel pattern analysis (MVPA) identifies brain areas that differentiate melodic contour ► Foci in lateral temporal, parietal, and cingulate cortices differentiate melodic contours ► Right superior temporal areas consistently implicated in melody processing |
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ISSN: | 1053-8119 1095-9572 |
DOI: | 10.1016/j.neuroimage.2011.02.006 |