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Experimental Methods to Study Human Postural Control
08:12

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Published on: September 11, 2019

Metastable postural coordination dynamics.

Eric G James1

  • 1Department of Health and Human Performance, The University of Texas at Brownsville, REK Building 2.638, Brownsville, TX 78520, USA. Eric.James@utb.edu

Neuroscience Letters
|June 18, 2013
PubMed
Summary
This summary is machine-generated.

This study on head and center of mass (COM) coordination found that single-leg stance and no vision increased movement variability. Task difficulty, controlled by stance and vision, led to dynamic changes in coordination.

Keywords:
CoordinationDynamicsMetastabilityPostureStability

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Area of Science:

  • Biomechanics
  • Human motor control
  • Dynamical systems theory

Background:

  • Understanding head and center of mass (COM) coordination is crucial for balance and movement control.
  • Previous research has explored postural stability but less is known about the dynamic interplay between head and COM under varying sensory and postural conditions.

Purpose of the Study:

  • To investigate the coordination dynamics between the head and center of mass (COM) during quiet stance.
  • To examine the influence of stance (one-leg vs. two-leg) and visual information (with vs. without vision) on these coordination patterns.
  • To characterize the underlying dynamical systems principles governing head-COM coordination.

Main Methods:

  • Utilized accelerometry to measure head and COM movements.
  • Analyzed coordination dynamics using metrics such as root mean square jerk and relative phase variability.
  • Examined both group and individual participant data to identify coordination patterns.

Main Results:

  • Root mean square jerk was higher in one-leg stance and without vision, and differed between head and COM.
  • Coordination variability was greatest in one-leg stance with vision.
  • Metastable coordination dynamics with ghost attractors were observed, varying with task demands.
  • Increased task difficulty led to greater relative phase variability, culminating in a bifurcation during one-leg stance without vision.

Conclusions:

  • Stance and visual information act as critical control parameters influencing head-COM coordination dynamics.
  • Task difficulty modulates the variability and stability of coordination, potentially leading to critical transitions (bifurcations) in motor behavior.
  • Findings support the application of metastable dynamical systems theory to understand human postural control.