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      The effect of musical practice on gesture/sound pairing

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          Abstract

          Learning to play a musical instrument is a demanding process requiring years of intense practice. Dramatic changes in brain connectivity, volume, and functionality have been shown in skilled musicians. It is thought that music learning involves the formation of novel audio visuomotor associations, but not much is known about the gradual acquisition of this ability. In the present study, we investigated whether formal music training enhances audiovisual multisensory processing. To this end, pupils at different stages of education were examined based on the hypothesis that the strength of audio/visuomotor associations would be augmented as a function of the number of years of conservatory study (expertise). The study participants were violin and clarinet students of pre-academic and academic levels and of different chronological ages, ages of acquisition, and academic levels. A violinist and a clarinetist each played the same score, and each participant viewed the video corresponding to his or her instrument. Pitch, intensity, rhythm, and sound duration were matched across instruments. In half of the trials, the soundtrack did not match (in pitch) the corresponding musical gestures. Data analysis indicated a correlation between the number of years of formal training (expertise) and the ability to detect an audiomotor incongruence in music performance (relative to the musical instrument practiced), thus suggesting a direct correlation between knowing how to play and perceptual sensitivity.

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          Most cited references39

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          The role of deliberate practice in the acquisition of expert performance.

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            Increased cortical representation of the fingers of the left hand in string players.

            Magnetic source imaging revealed that the cortical representation of the digits of the left hand of string players was larger than that in controls. The effect was smallest for the left thumb, and no such differences were observed for the representations of the right hand digits. The amount of cortical reorganization in the representation of the fingering digits was correlated with the age at which the person had begun to play. These results suggest that the representation of different parts of the body in the primary somatosensory cortex of humans depends on use and changes to conform to the current needs and experiences of the individual.
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              Music making as a tool for promoting brain plasticity across the life span.

              Playing a musical instrument is an intense, multisensory, and motor experience that usually commences at an early age and requires the acquisition and maintenance of a range of skills over the course of a musician's lifetime. Thus, musicians offer an excellent human model for studying the brain effects of acquiring specialized sensorimotor skills. For example, musicians learn and repeatedly practice the association of motor actions with specific sound and visual patterns (musical notation) while receiving continuous multisensory feedback. This association learning can strengthen connections between auditory and motor regions (e.g., arcuate fasciculus) while activating multimodal integration regions (e.g., around the intraparietal sulcus). We argue that training of this neural network may produce cross-modal effects on other behavioral or cognitive operations that draw on this network. Plasticity in this network may explain some of the sensorimotor and cognitive enhancements that have been associated with music training. These enhancements suggest the potential for music making as an interactive treatment or intervention for neurological and developmental disorders, as well as those associated with normal aging.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                02 April 2015
                2015
                : 6
                : 376
                Affiliations
                [1] 1NeuroMi - Milan Center for Neuroscience, Department of Psychology, University of Milano-Bicocca , Milan, Italy
                [2] 2Institute of Bioimaging and Molecular Physiology, National Research Council , Milan, Italy
                Author notes

                Edited by: Eckart Altenmüller, Hanover University of Music, Drama and Media, Germany

                Reviewed by: Minna Huotilainen, Finnish Institute of Occupational Health, Finland; Theodor Rueber, Bonn University Hospital, Germany

                *Correspondence: Alice M. Proverbio, NeuroMi - Milan Center for Neuroscience, Department of Psychology, University of Milano-Bicocca, piazza dell’Ateneo Nuovo 1, U6 Building, 20162 Milan, Italy mado.proverbio@ 123456unimib.it

                This article was submitted to Auditory Cognitive Neuroscience, a section of the journal Frontiers in Psychology.

                Article
                10.3389/fpsyg.2015.00376
                4382982
                ca6745a2-5f6e-47f7-b1f3-941aae6cd787
                Copyright © 2015 Proverbio, Attardo, Cozzi and Zani.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 December 2014
                : 16 March 2015
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 42, Pages: 7, Words: 5069
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                music learning,visual feedback,auditory processing,multimodal coding,audiomotor,visuomotor,mirror system

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