Literature DB >> 3437982

Frequency response of spinal Renshaw cells activated by stochastic motor axon stimulation.

C N Christakos1, U Windhorst, R Rissing, J Meyer-Lohmann.   

Abstract

In anaesthetized or decerebrate cats, motor axons in lumbosacral ventral roots or hindlimb muscle nerves were stimulated with random trains of brief electrical pulses, and Renshaw cell spike sequences were recorded. Spectral analysis was used to determine the range of linear operation of Renshaw cells, via coherence computations, and to calculate their frequency-dependent gains and phases. The analysis showed that the dynamic behaviour of Renshaw cells was different for different strengths of their synaptic input from motor axons and for different mean stimulus rates. In general, the changes in dynamics associated with variation of these two input parameters followed a common trend. This can be related to the average response of Renshaw cells per stimulus, as assessed by peri-stimulus time histograms. For axons having a strong excitatory effect on a Renshaw cell (as judged from the size of early peri-stimulus time histogram peaks), and for low mean stimulus rates (10-23 pulses per second), the linear range of signal transmission (assessed by coherence computation) was usually very broad (from zero sometimes up to over 100 Hz, but mostly up to 50-100 Hz). Following an initial elevation in the range 2-15 Hz, the gain showed first a rapid decrease with frequency, down to a value which at 30-50 Hz could be a tenth of the gain at lower frequencies (2-15 Hz); it then continued to decline slowly. Otherwise the linear range was narrower and/or the coherence was generally lower; the gain was lower and showed little decline with frequency. The phase curves of Renshaw cells generally showed a low-frequency phase lead (up to roughly 10 Hz) and an increasing phase lag thereabove that was generated in part by the conduction delay. The results show that Renshaw cells can follow, particularly sensitively, inputs in a frequency range encompassing the steady firing rates of many alpha-motoneurons. This range of high gain also covers that of a component of physiological tremor (ca. 6-12 Hz), a basic mechanism of which is probably related to unfused contractions of newly recruited motor units firing in this range. It can therefore be expected that recurrent inhibition via Renshaw cells is especially powerful in this physiologically important range of alpha-motoneuron firing.

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Year:  1987        PMID: 3437982     DOI: 10.1016/0306-4522(87)90079-0

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  5 in total

1.  A method to estimate the effects of parallel inputs on neuronal discharge probability.

Authors:  U Windhorst; Y Laouris; T Kokkoroyiannis; U Kuipers; J Meyer-Lohmann
Journal:  Pflugers Arch       Date:  1989-04       Impact factor: 3.657

2.  The recurrent case for the Renshaw cell.

Authors:  Gardave S Bhumbra; B Anne Bannatyne; Masahiko Watanabe; Andrew J Todd; David J Maxwell; Marco Beato
Journal:  J Neurosci       Date:  2014-09-17       Impact factor: 6.167

3.  Time constants of facilitation and depression in Renshaw cell responses to random stimulation of motor axons.

Authors:  Y Laouris; U Windhorst; R Rissing; U Kuipers; J Meyer-Lohmann
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

4.  Synaptic Connectivity between Renshaw Cells and Motoneurons in the Recurrent Inhibitory Circuit of the Spinal Cord.

Authors:  Niall J Moore; Gardave S Bhumbra; Joshua D Foster; Marco Beato
Journal:  J Neurosci       Date:  2015-10-07       Impact factor: 6.167

5.  Spatial and Temporal Arrangement of Recurrent Inhibition in the Primate Upper Limb.

Authors:  Steve A Edgley; Elizabeth R Williams; Stuart N Baker
Journal:  J Neurosci       Date:  2020-12-17       Impact factor: 6.167

  5 in total

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