Postural sway and gaze can track the complex motion of a visual target.

PLoS One

Biomechanics Research Building, University of Nebraska at Omaha, Omaha, Nebraska, United States of America.

Published: February 2016

AI Article Synopsis

  • Variability in human movement is crucial and has a chaotic nature, which is often overlooked in traditional visual feedback training methods.
  • The study investigated how well young adults could track visual targets of different complexities while swaying in two directions: Anterior-Posterior (AP) and Medio-Lateral (ML).
  • Results showed that participants had better synchronization in both postural sway and gaze with a complex Lorenz attractor target compared to simpler targets, suggesting that tracking complex movements may enhance visuo-motor adaptability and learning.

Article Abstract

Variability is an inherent and important feature of human movement. This variability has form exhibiting a chaotic structure. Visual feedback training using regular predictive visual target motions does not take into account this essential characteristic of the human movement, and may result in task specific learning and loss of visuo-motor adaptability. In this study, we asked how well healthy young adults can track visual target cues of varying degree of complexity during whole-body swaying in the Anterior-Posterior (AP) and Medio-Lateral (ML) direction. Participants were asked to track three visual target motions: a complex (Lorenz attractor), a noise (brown) and a periodic (sine) moving target while receiving online visual feedback about their performance. Postural sway, gaze and target motion were synchronously recorded and the degree of force-target and gaze-target coupling was quantified using spectral coherence and Cross-Approximate entropy. Analysis revealed that both force-target and gaze-target coupling was sensitive to the complexity of the visual stimuli motions. Postural sway showed a higher degree of coherence with the Lorenz attractor than the brown noise or sinusoidal stimulus motion. Similarly, gaze was more synchronous with the Lorenz attractor than the brown noise and sinusoidal stimulus motion. These results were similar regardless of whether tracking was performed in the AP or ML direction. Based on the theoretical model of optimal movement variability tracking of a complex signal may provide a better stimulus to improve visuo-motor adaptation and learning in postural control.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361653PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0119828PLOS

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