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Reinforcement and error feedback differentially impact motor exploration during locomotion.

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Area of Science:

  • Human motor control
  • Biomechanics
  • Neuroplasticity

Background:

  • Reinforcement and error feedback are established drivers of motor learning and exploration in upper limb movements.
  • Previous research indicates that unrewarded movements promote greater exploration, enabling the nervous system to refine actions based on movement variability.
  • This study extends these findings to locomotion, examining feedback effects on walking and balance.

Purpose of the Study:

  • To investigate the influence of reinforcement and error feedback on motor exploration during walking.
  • To determine the impact of different feedback types on upright balance control.
  • To compare motor exploration in walking to previously observed patterns in reaching tasks.

Main Methods:

  • Twenty-four healthy young adults walked on an instrumented treadmill with virtual reality feedback on step length or width.
  • Visual feedback indicated step parameters relative to a target zone; reinforcement feedback provided a reward for accuracy.
  • Lag-1 autocorrelation and linear models of ankle roll and step placement were used to quantify exploration and balance strategies.

Main Results:

  • Motor exploration increased with reinforcement feedback compared to error feedback for step length, but not step width.
  • Error feedback promoted corrective behavior, leading to more precise step placement.
  • Step width feedback altered balance control, making center of mass less predictive of ankle roll compared to baseline.

Conclusions:

  • Step length regulation during walking responds to feedback similarly to upper limb reaching tasks.
  • Maintaining upright balance during step width tasks necessitates reduced motor exploration.
  • Feedback influences balance control mechanisms, highlighting a trade-off between exploration and stability.