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A quantitative model of the Hoffmann reflex.

F K Hoehler, A A Buerger

    Neurological Research
    |January 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

    Electrical stimulation of the posterior tibial nerve reveals direct motor (M) and Hoffmann (H) reflexes. A quantitative model explains H reflex extinction by antidromic impulses, aiding motoneuron pool assessment.

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    Area of Science:

    • Neuroscience
    • Human Physiology

    Background:

    • Electrical stimulation of the posterior tibial nerve evokes two distinct electromyographic responses: the direct motor (M) response and the Hoffmann (H) reflex.
    • The M response arises from direct motor axon activation, while the H reflex originates from stretch receptor afferents within the monosynaptic reflex arc.

    Purpose of the Study:

    • To investigate the mechanism of H reflex extinction at high stimulus intensities.
    • To develop and validate a quantitative model for understanding the interaction between antidromic and orthodromic impulses in the motor nerve.

    Main Methods:

    • Electromyographic recordings following electrical stimulation of the human posterior tibial nerve.
    • Application of a quantitative model to analyze the relationship between M response size, H reflex size, and stimulus intensity.

    Related Experiment Videos

  • Estimation of antidromic and orthodromic impulse numbers based on recorded responses.
  • Main Results:

    • High stimulus intensities lead to significant reduction or complete extinction of the H reflex.
    • A simple quantitative model effectively accounts for H reflex extinction in most subjects.
    • The model utilizes M response characteristics to estimate antidromic impulse numbers and assess motoneuron pool size.

    Conclusions:

    • Antidromic impulses, elicited by motor nerve stimulation, are presumed to extinguish the H reflex through collision with orthodromic impulses.
    • The proposed quantitative model provides a framework for understanding reflex modulation and estimating motoneuron pool excitability.