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  Neural networks for harmonic structure in music perception and action

Bianco, R., Novembre, G., Keller, P. E., Kim, S.-G., Scharf, F., Friederici, A. D., et al. (2016). Neural networks for harmonic structure in music perception and action. NeuroImage, 142, 454-464. doi:10.1016/j.neuroimage.2016.08.025.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-2E2A-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-110E-B
Genre: Journal Article

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 Creators:
Bianco, Roberta1, 2, Author              
Novembre, Giacomo3, Author
Keller, Peter E.3, Author
Kim, Seung-Goo4, Author              
Scharf, Florian5, Author              
Friederici, Angela D.5, Author              
Villringer, Arno2, Author              
Sammler, Daniela1, Author              
Affiliations:
1Otto Hahn Group Neural Bases of Intonation in Speech, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1797284              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              
3The MARCS Institute, University of Western Sydney, Australia, ou_persistent22              
4Methods and Development Group MEG and EEG - Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205650              
5Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Music; Harmony; Syntax; IFG; Functional connectivity; Prediction
 Abstract: The ability to predict upcoming structured events based on long-term knowledge and contextual priors is a fundamental principle of human cognition. Tonal music triggers predictive processes based on structural properties of harmony, i.e., regularities defining the arrangement of chords into well-formed musical sequences. While the neural architecture of structure-based predictions during music perception is well described, little is known about the neural networks for analogous predictions in musical actions and how they relate to auditory perception. To fill this gap, expert pianists were presented with harmonically congruent or incongruent chord progressions, either as musical actions (photos of a hand playing chords) that they were required to watch and imitate without sound, or in an auditory format that they listened to without playing. By combining task-based functional magnetic resonance imaging (fMRI) with functional connectivity at rest, we identified distinct sub-regions in right inferior frontal gyrus (rIFG) interconnected with parietal and temporal areas for processing action and audio sequences, respectively. We argue that the differential contribution of parietal and temporal areas is tied to motoric and auditory long-term representations of harmonic regularities that dynamically interact with computations in rIFG. Parsing of the structural dependencies in rIFG is co-determined by both stimulus- or task-demands. In line with contemporary models of prefrontal cortex organization and dual stream models of visual-spatial and auditory processing, we show that the processing of musical harmony is a network capacity with dissociated dorsal and ventral motor and auditory circuits, which both provide the infrastructure for predictive mechanisms optimising action and perception performance.

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Language(s): eng - English
 Dates: 2016-04-132016-08-152016-08-162016-11-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2016.08.025
PMID: 27542722
Other: Epub 2016
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Title: NeuroImage
Source Genre: Journal
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Pages: - Volume / Issue: 142 Sequence Number: - Start / End Page: 454 - 464 Identifier: ISSN: 1053-8119
CoNE: /journals/resource/954922650166