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Studying Nonlinear Change in Music Therapy Applying Dynamic Systems Theory.

Lorenzo Antichi1, Marco Giannini1, Jane Edwards2

  • 1University of Florence, Firenze, Italy.

Journal of Music Therapy
|July 13, 2023
PubMed
Summary

Linear models fall short in music therapy research. Dynamic Systems Theory (DST) offers a new framework to understand complex, time-dependent changes in music therapy, enhancing research insights.

Keywords:
attractorscontinuous timedynamic systems theorymusic therapy researchnonlinear change

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Area of Science:

  • Music Therapy
  • Complex Systems Science
  • Psychology

Background:

  • Traditional music therapy research often uses linear models to assess change.
  • Linear analysis assumes proportional relationships between input and output, which may not capture complex therapeutic processes.
  • Complex systems, like human responses in therapy, often exhibit nonlinear, time-dependent dynamics.

Purpose of the Study:

  • To introduce Dynamic Systems Theory (DST) as a novel framework for analyzing change in music therapy.
  • To critically discuss the theoretical and methodological applications of DST in music therapy research.
  • To explore how DST can provide a richer understanding of therapeutic change processes.

Main Methods:

  • The article introduces the core concepts and history of Dynamic Systems Theory (DST).
  • It discusses DST's implications for assessing and analyzing nonlinear change over continuous time.
  • Examples of DST implementation in music therapy research are presented, including statistical and mathematical modeling approaches.

Main Results:

  • Dynamic Systems Theory (DST) provides a meta-framework to model nonlinear change in music therapy.
  • DST accounts for the continuous and time-dependent nature of change, overcoming limitations of linear analysis.
  • Application of DST enhances understanding of the shape and mechanisms of therapeutic change in music therapy.

Conclusions:

  • Dynamic Systems Theory (DST) offers a more comprehensive approach to studying change in music therapy than traditional linear models.
  • DST's focus on nonlinear dynamics and continuous time enriches the understanding of therapeutic processes.
  • This framework has the potential to advance music therapy research by providing sophisticated analytical tools.