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International Symposium on Computer Music Multidisciplinary Research

CMMR 2017: Music Technology with Swing pp 312–326Cite as

Music and Musical Sonification for the Rehabilitation of Parkinsonian Dysgraphia: Conceptual Framework

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11265))

Abstract

Music has been shown to enhance motor control in patients with Parkinson’s disease (PD). Notably, musical rhythm is perceived as an external auditory cue that helps PD patients to better control movements. The rationale of such effects is that motor control based on auditory guidance would activate a compensatory brain network that minimizes the recruitment of the defective pathway involving the basal ganglia. Would associating music to movement improve its perception and control in PD? Musical sonification consists in modifying in real-time the playback of a preselected music according to some movement parameters. The validation of such a method is underway for handwriting in PD patients. When confirmed, this study will strengthen the clinical interest of musical sonification in motor control and (re)learning in PD.

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Acknowledgments

This research was supported by Grants ANR-16-CONV-0002 (ILCB), ANR-11-LABX-0036 (BLRI), and ANR-11-IDEX-0001-02 (AMIDEX) the Excellence Initiative of Aix-Marseille University. We want to thank Richard Kronland-Martinet, Sølvi Ystad and Mitsuko Aramaki (laboratory PRISM), as well as Charles Gondre for the technical development related to the musical sonification.

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Authors and Affiliations

  1. Aix Marseille Univ, CNRS, LNC, Marseille, France

    Lauriane Véron-Delor, Jean-Luc Velay & Jérémy Danna

  2. Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France

    Lauriane Véron-Delor & Serge Pinto

  3. Aix Marseille Univ, CNRS, INT, Marseille, France

    Alexandre Eusebio

Authors
  1. Lauriane Véron-Delor
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  2. Serge Pinto
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  3. Alexandre Eusebio
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  4. Jean-Luc Velay
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  5. Jérémy Danna
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Corresponding author

Correspondence to Jérémy Danna .

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Editors and Affiliations

  1. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Mitsuko Aramaki

  2. INESC TEC, Porto, Portugal

    Matthew E. P. Davies

  3. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Richard Kronland-Martinet

  4. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Sølvi Ystad

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Véron-Delor, L., Pinto, S., Eusebio, A., Velay, JL., Danna, J. (2018). Music and Musical Sonification for the Rehabilitation of Parkinsonian Dysgraphia: Conceptual Framework. In: Aramaki, M., Davies , M., Kronland-Martinet, R., Ystad, S. (eds) Music Technology with Swing. CMMR 2017. Lecture Notes in Computer Science(), vol 11265. Springer, Cham. https://doi.org/10.1007/978-3-030-01692-0_21

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  • DOI: https://doi.org/10.1007/978-3-030-01692-0_21

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