Related Experiment Videos
Interlimb coordination during locomotion: what can be adapted and stored?
Darcy S Reisman1, Hannah J Block, Amy J Bastian
1Department of Physical Therapy, University of Delaware, Newark, USA.
Journal of Neurophysiology
|June 17, 2005
Summary
Adults adapt interlimb coordination during split-belt walking, showing distinct neural control for limb interactions versus individual limb movements. The nervous system stores new interlimb patterns after training.
Area of Science:
- Neuroscience
- Biomechanics
- Locomotion studies
Background:
- Interlimb coordination is essential for bipedal locomotion and environmental adaptation.
- Split-belt treadmills reveal how humans adjust walking patterns when legs move at different speeds.
- Previous studies show basic gait alterations but not the adaptation of all gait parameters or pattern storage.
Purpose of the Study:
- To investigate if adults adapt both intra- and interlimb gait parameters during split-belt walking.
- To determine if training on a split-belt treadmill leads to observable aftereffects.
- To explore the neural control mechanisms underlying gait adaptation.
Main Methods:
- Healthy subjects walked on a split-belt treadmill under three conditions: tied belts (baseline), split belts (adaptation), and tied belts again (postadaptation).
- Gait parameters, including those related to interlimb coordination and individual limb function, were measured.
- Subjective perceptions of walking (e.g., limping) were also recorded.
Main Results:
- Interlimb gait parameters adapted slowly during split-belt walking and exhibited significant aftereffects post-training.
- Individual limb gait parameters adjusted rapidly to split belts but showed no aftereffects.
- Changes in interlimb parameters correlated with subjective experiences of limping.
Conclusions:
- The nervous system demonstrates some independence in controlling intra-limb versus inter-limb parameters during walking.
- Adults can adapt and store new interlimb coordination patterns after brief training periods.
- Differences in adaptation rates suggest varying complexities and neural control levels for different gait parameters.