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Related Concept Videos

Indirect Motor Pathways01:22

Indirect Motor Pathways

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The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
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Related Experiment Video

Updated: May 6, 2026

A Modified Lean and Release Technique to Emphasize Response Inhibition and Action Selection in Reactive Balance
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Lateral balance control for robotic gait training.

B Koopman, J H Meuleman, E H F van Asseldonk

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |November 5, 2013
    PubMed
    Summary

    This study introduces a novel algorithm for robot-aided gait training, enhancing lateral balance control through natural pelvic motion assistance. The system improves gait stability and mimics physiological weight shifting for better rehabilitation outcomes.

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    Area of Science:

    • Rehabilitation Medicine
    • Robotics
    • Biomechanics

    Background:

    • Robot-aided gait training is crucial for neurological patient rehabilitation.
    • Current robotic systems often lack adequate balance training, limiting effectiveness.
    • Supporting lateral balance is key to improving gait training outcomes.

    Purpose of the Study:

    • To develop and evaluate an algorithm for supporting lateral balance during walking via controlled pelvis motion.
    • To investigate a physiological approach to balance assistance, mimicking natural pelvic sway.
    • To assess the impact of the algorithm on gait parameters and balance control.

    Main Methods:

    • An algorithm was developed to control pelvis motion, promoting a natural sway pattern.
    • The algorithm was tested on six healthy subjects walking on a treadmill with varying support gains.
    • Gait parameters including step width, variability, and stability margin were analyzed.

    Main Results:

    • Higher support gains led to closer approximation of natural pelvic sway.
    • Step width and variability decreased with external stabilization.
    • Increased stability margin indicated reduced need for active lateral balance control.

    Conclusions:

    • The developed algorithm provides physiological lateral balance support during gait training.
    • This approach enhances natural weight shifting and load receptor input.
    • The algorithm offers a promising advancement for robot-aided rehabilitation of neurological patients.