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J Neurophysiol 89: 2797-2809, 2003; doi:10.1152/jn.00942.2002
0022-3077/03 $5.00
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J Neurophysiol (May 1, 2003). 10.1152/jn.00942.2002
Submitted on Submitted 22 October 2002; accepted in final form 2 February 2003

Spindle Model Responsive to Mixed Fusimotor Inputs and Testable Predictions of beta  Feedback Effects

Mitchell G. Maltenfort and R. E. Burke

Laboratory of Neural Control, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892-4455

Maltenfort, Mitchell G. and R. E. Burke. Spindle Model Responsive to Mixed Fusimotor Inputs and Testable Predictions of beta  Feedback Effects. J. Neurophysiol. 89: 2797-2809, 2003. Skeletofusimotor (beta ) motoneurons innervate both extrafusal muscle units and muscle fibers within muscle spindle stretch receptors. By receiving excitation from group Ia muscle spindle afferents and driving the muscle spindle afferents that excite them, they form a positive feedback loop of unknown function. To study it, we developed a computationally efficient model of group Ia afferent behavior, capable of responding to multiple fusimotor inputs, that matched experimental data. This spindle model was then incorporated into a simulation of group Ia feedback during ramp/hold and triangular stretches with and without closure of the beta  loop, assuming that gamma  and beta  fusimotor drives of the same type (static or dynamic) have identical effects on spindle afferent firing. The effects of beta  feedback were implemented by driving a fusimotor input with a delayed and filtered fraction of the spindle afferent output. During triangular stretches, feedback through static beta  motoneurons enhanced Ia afferent firing during shortening of the spindle. In contrast, closure of a dynamic beta  loop increased Ia firing during lengthening. The strength of beta  feedback, estimated as a "loop gain" was comparable to experimental estimates. The loop gain increased with velocity and amplitude of stretch but decreased with increased superimposed gamma  fusimotor rates. The strongest loop gains were seen when the beta  loop and the gamma  bias were of different types (static vs. dynamic).




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