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Optimism persists when walking in unpredictable environments.

Mary A Bucklin1,2, Jasjit Deol3, Geoffrey Brown3

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Humans adapt walking motor plans to unpredictable forces by developing distinct strategies. These strategies improve stability, though predictive adaptations can sometimes increase deviations in novel environments.

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Area of Science:

  • Biomechanics
  • Motor Control
  • Human Movement Science

Background:

  • Human walking involves continuous adaptation of control strategies to anticipate and react to environmental disturbances.
  • Understanding how motor plans are adapted for stable locomotion in unpredictable conditions is crucial for human movement science.

Purpose of the Study:

  • To investigate the adaptation of motor plans during walking in a novel and unpredictable environment.
  • To analyze how individuals adjust their whole-body center of mass (COM) trajectory in response to externally applied forces.

Main Methods:

  • Participants performed a goal-directed walking task with a randomly applied lateral force field acting on the center of mass (COM).
  • The force field magnitude was dependent on forward velocity and randomly directed left or right each trial.
  • Center of mass (COM) trajectory deviations were measured to quantify adaptation to the unpredictable force field.

Main Results:

  • Practice significantly reduced COM lateral deviations by 28% (left force field) and 44% (right force field).
  • Participants developed distinct unilateral strategies, creating bilateral resistance to unpredictable forces, including anticipatory postural adjustments and lateral first steps.
  • Catch trials revealed robust impedance control, while short-term predictive adaptations sometimes led to increased deviations when predictions were incorrect.

Conclusions:

  • Humans adapt walking by employing a combination of impedance control and short-term predictive strategies to manage unpredictable environmental forces.
  • Distinct motor strategies are developed to resist lateral perturbations, demonstrating the nervous system's capacity for adaptive motor planning.
  • Competing control strategies may facilitate long-term learning by enabling the nervous system to identify optimal responses in novel environments.