Literature DB >> 17167058

Different motor neuron spike patterns produce contractions with very similar rises in graded slow muscles.

Scott L Hooper1, Christoph Guschlbauer, Géraldine von Uckermann, Ansgar Büschges.   

Abstract

Graded muscles produce small twitches in response to individual motor neuron spikes. During the early part of their contractions, contraction amplitude in many such muscles depends primarily on the number of spikes the muscle has received, not the frequency or pattern with which they were delivered. Stick insect (Carausius morosus) extensor muscles are graded and thus would likely show spike-number dependency early in their contractions. Tonic stimulations of the extensor motor nerve showed that the response of the muscles differed from the simplest form of spike-number dependency. However, these differences actually increased the spike-number range over which spike-number dependency was present. When the motor nerve was stimulated with patterns mimicking the motor neuron activity present during walking, amplitude during contraction rises also depended much more on spike number than on spike frequency. A consequence of spike-number dependency is that brief changes in spike frequency do not alter contraction slope and we show here that extensor motor neuron bursts with different spike patterns give rise to contractions with very similar contraction rises. We also examined in detail the early portions of a large number of extensor motor neuron bursts recorded during single-leg walking and show that these portions of the bursts do not appear to have any common spike pattern. Although alternative explanations are possible, the simplest interpretation of these data is that extensor motor neuron firing during leg swing is not tightly controlled.

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Year:  2006        PMID: 17167058     DOI: 10.1152/jn.01014.2006

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


  6 in total

1.  Motor circuit-specific burst patterns drive different muscle and behavior patterns.

Authors:  Florian Diehl; Rachel S White; Wolfgang Stein; Michael P Nusbaum
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

2.  Fiber-type distribution in insect leg muscles parallels similarities and differences in the functional role of insect walking legs.

Authors:  Elzbieta Godlewska-Hammel; Ansgar Büschges; Matthias Gruhn
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-06-08       Impact factor: 1.836

3.  Slow conductances could underlie intrinsic phase-maintaining properties of isolated lobster (Panulirus interruptus) pyloric neurons.

Authors:  Scott L Hooper; Einat Buchman; Adam L Weaver; Jeffrey B Thuma; Kevin H Hobbs
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

4.  Decentralized control of insect walking: A simple neural network explains a wide range of behavioral and neurophysiological results.

Authors:  Malte Schilling; Holk Cruse
Journal:  PLoS Comput Biol       Date:  2020-04-27       Impact factor: 4.475

5.  Control for multifunctionality: bioinspired control based on feeding in Aplysia californica.

Authors:  Victoria A Webster-Wood; Jeffrey P Gill; Peter J Thomas; Hillel J Chiel
Journal:  Biol Cybern       Date:  2020-12-10       Impact factor: 2.086

6.  Precise timing is ubiquitous, consistent, and coordinated across a comprehensive, spike-resolved flight motor program.

Authors:  Joy Putney; Rachel Conn; Simon Sponberg
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-16       Impact factor: 11.205

  6 in total

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