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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Human movement variability, nonlinear dynamics, and pathology: is there a connection?

Nicholas Stergiou1, Leslie M Decker

  • 1Nebraska Biomechanics Core Facility, University of Nebraska at Omaha, 6001 Dodge Street, Omaha, NE 68182-0216, USA. nstergiou@unomaha.edu

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Optimal variability, not error, characterizes healthy human movement. This chaotic structure ensures adaptability, while deviations lead to rigidity or instability, hindering function.

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Area of Science:

  • Movement science
  • Neuroscience
  • Robotics
  • Psychology
  • Cognitive Science

Background:

  • Biological systems exhibit pervasive variability, a concept crucial across multiple scientific disciplines.
  • Understanding movement variability is key to addressing movement dysfunction.
  • Nonlinear dynamics measures offer novel insights into biological variability.

Purpose of the Study:

  • To review innovations in exploring movement variability.
  • To highlight the importance of variability in understanding human movement.
  • To discuss the implications of variability in movement dysfunction.

Main Methods:

  • Review of literature on movement variability.
  • Application of nonlinear dynamics concepts.
  • Analysis of the organizational structure of variability.

Main Results:

  • Optimal variability is essential for healthy and functional human movement.
  • Movement variability is characterized by a specific, chaotic structure.
  • Deviations from optimal variability result in systems that are less adaptable.

Conclusions:

  • Variability is not an error but a fundamental characteristic of skilled and healthy movement.
  • Understanding the optimal state of variability can inform interventions for movement disorders.
  • Deviations towards rigidity or instability impair adaptability and are linked to pathological states.