Literature DB >> 15800075

Control of locomotor cycle durations.

S Yakovenko1, D A McCrea, K Stecina, A Prochazka.   

Abstract

In intact animals and humans, increases in locomotor speed are usually associated with decreases in step cycle duration. Most data indicate that the locomotor central pattern generator (CPG) shortens cycle duration mainly by shortening the durations of extensor rather than flexor phases of the step cycle. Here we report that in fictive locomotion elicited by electrical stimulation of the midbrain locomotor region (MLR) in the cat, spontaneous variations in cycle duration were due more to changes in flexor rather than extensor phase durations in 22 of 31 experiments. The locomotor CPG is therefore not inherently extensor- or flexor-biased. We coined the term "dominant" to designate the phase (flexion or extension) showing the larger variation. In a simple half-center oscillator model, experimental phase duration plots were fitted well by adjusting two parameters that corresponded to background drive ("bias") and sensitivity ("gain") of the oscillator's timing elements. By analogy we argue that variations in background drive to the neural timing elements of the CPG could produce larger variations in phase duration in the half-center receiving the lower background drive, i.e., background drive may determine which half-center is dominant. The fact that data from normal cats were also fitted well by the model indicates that sensory input and central drive combine to determine locomotor phase durations. We conclude that there is a considerable flexibility in the control of phase durations in MLR-induced fictive locomotion. We posit that this may be explained by changes in background excitation of neural timing elements in the locomotor CPG.

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Year:  2005        PMID: 15800075     DOI: 10.1152/jn.00991.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  49 in total

1.  Afferent control of locomotor CPG: insights from a simple neuromechanical model.

Authors:  Sergey N Markin; Alexander N Klishko; Natalia A Shevtsova; Michel A Lemay; Boris I Prilutsky; Ilya A Rybak
Journal:  Ann N Y Acad Sci       Date:  2010-06       Impact factor: 5.691

2.  Afferent inputs to mid- and lower-lumbar spinal segments are necessary for stepping in spinal cats.

Authors:  Jonathan A Norton; Vivian K Mushahwar
Journal:  Ann N Y Acad Sci       Date:  2010-06       Impact factor: 5.691

3.  Properties of axon terminals contacting intermediate zone excitatory and inhibitory premotor interneurons with monosynaptic input from group I and II muscle afferents.

Authors:  Ting Ting Liu; B Anne Bannatyne; Elzbieta Jankowska; David J Maxwell
Journal:  J Physiol       Date:  2010-09-13       Impact factor: 5.182

4.  Synaptic patterning of left-right alternation in a computational model of the rodent hindlimb central pattern generator.

Authors:  William Erik Sherwood; Ronald Harris-Warrick; John Guckenheimer
Journal:  J Comput Neurosci       Date:  2010-07-20       Impact factor: 1.621

5.  Evidence for specialized rhythm-generating mechanisms in the adult mammalian spinal cord.

Authors:  Alain Frigon; Jean-Pierre Gossard
Journal:  J Neurosci       Date:  2010-05-19       Impact factor: 6.167

6.  Serotonin controls initiation of locomotion and afferent modulation of coordination via 5-HT7 receptors in adult rats.

Authors:  Anna M Cabaj; Henryk Majczyński; Erika Couto; Phillip F Gardiner; Katinka Stecina; Urszula Sławińska; Larry M Jordan
Journal:  J Physiol       Date:  2016-08-08       Impact factor: 5.182

7.  Modulation of locomotor activity in complete spinal cord injury.

Authors:  L Lünenburger; M Bolliger; D Czell; R Müller; V Dietz
Journal:  Exp Brain Res       Date:  2006-06-08       Impact factor: 1.972

8.  Coordination of steering in a free-trotting quadruped.

Authors:  Eyal Gruntman; Yoav Benjamini; Ilan Golani
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-12-05       Impact factor: 1.836

9.  Modelling spinal circuitry involved in locomotor pattern generation: insights from deletions during fictive locomotion.

Authors:  Ilya A Rybak; Natalia A Shevtsova; Myriam Lafreniere-Roula; David A McCrea
Journal:  J Physiol       Date:  2006-09-28       Impact factor: 5.182

10.  Modelling spinal circuitry involved in locomotor pattern generation: insights from the effects of afferent stimulation.

Authors:  Ilya A Rybak; Katinka Stecina; Natalia A Shevtsova; David A McCrea
Journal:  J Physiol       Date:  2006-09-28       Impact factor: 5.182

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