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Published on: August 30, 2016
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Gait parameter control timing with dynamic manual contact or visual cues
Ely Rabin1, Peter Shi2, William Werner3
1New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York; erabin@nyit.edu.
Journal of Neurophysiology
|March 4, 2016
Summary
This study reveals how humans adjust gait speed by coordinating stride length and step timing with external cues. Both visual and manual cues demonstrate predictive and reactive neural control strategies for gait regulation.
Area of Science:
- Biomechanics
- Neuroscience
- Human Movement Science
Background:
- Gait control involves complex coordination of kinematic parameters.
- Understanding neural control mechanisms for gait speed regulation is crucial.
Purpose of the Study:
- To investigate the temporal relationships between gait parameters and cue velocity.
- To determine how different cue modalities (visual vs. manual) affect gait control timing.
- To elucidate the balance between feedforward and feedback control in gait speed adjustment.
Main Methods:
- Eleven healthy participants walked on a treadmill, adjusting speed to match an oscillating cue.
- Manipulated cue modality (vision, manual contact), treadmill speed, and cue motion frequency/amplitude.
- Analyzed temporal correlations between gait parameters (stride length, peak toe velocity, step durations) and cue velocity.
Main Results:
- Significant temporal relationships were found between gait parameters and cue velocity, indicating both anticipatory (feedforward) and reactive (feedback) control.
- Peak toe velocity aligned with cue velocity during single-support, while step length preceded it during double-support.
- Manual contact cues yielded higher accuracy and stronger cue-gait timing correlations than visual cues.
- The timing patterns generalized across modalities, though manual contact showed shorter delays.
Conclusions:
- Individual gait kinematic parameters are precisely timed within the gait cycle for velocity control.
- The timing pattern of gait adjustments is conserved across sensory modalities, suggesting a robust neural strategy.
- Temporal shifts in cue/gait parameter latencies optimize control and provide evidence for independent gait parameter regulation.
