Literature DB >> 15906042

Measurement and nature of firing rate adaptation in turtle spinal neurons.

R B Gorman1, J C McDonagh, T G Hornby, R M Reinking, D G Stuart.   

Abstract

There is sparse literature on the profile of action potential firing rate (spike-frequency) adaptation of vertebrate spinal motoneurons, with most of the work undertaken on cells of the adult cat and young rat. Here, we provide such information on adult turtle motoneurons and spinal ventral-horn interneurons. We compared adaptation in response to intracellular injection of 30-s, constant-current stimuli into high-threshold versus low-threshold motoneurons and spontaneously firing versus non-spontaneously-firing interneurons. The latter were shown to possess some adaptive properties that differed from those of motoneurons, including a delayed initial adaptation and more predominant reversal of adaptation attributable to plateau potentials. Issues were raised concerning the interpretation of changes in the action potentials' afterhyperpolarization shape parameters throughout spike-frequency adaptation. No important differences were demonstrated in the adaptation of the two motoneuron and two interneuron groups. Each of these groups, however, was modeled by its own unique combination of action potential shape parameters for the simulation of its 30-s duration of spike-frequency adaptation. Also, for a small sample of the very highest-threshold versus lowest-threshold motoneurons, the former group had significantly more adaptation than the latter. This finding was like that shown previously for cat motoneurons supplying fast- versus slow twitch motor units.

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Year:  2005        PMID: 15906042     DOI: 10.1007/s00359-005-0612-1

Source DB:  PubMed          Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol        ISSN: 0340-7594            Impact factor:   1.836


  43 in total

1.  Electrophysiological and morphological properties of neurons in the ventral horn of the turtle spinal cord.

Authors:  J C McDonagh; R B Gorman; E E Gilliam; T G Hornby; R M Reinking; D G Stuart
Journal:  J Physiol Paris       Date:  1999 Jan-Apr

Review 2.  Spinal interneuronal systems: identification, multifunctional character and reconfigurations in mammals.

Authors:  E Jankowska
Journal:  J Physiol       Date:  2001-05-15       Impact factor: 5.182

3.  Fast and slow pyramidal tract neurons: an intracellular analysis of their contrasting repetitive firing properties in the cat.

Authors:  W H Calvin; G W Sypert
Journal:  J Neurophysiol       Date:  1976-03       Impact factor: 2.714

4.  Ca++ dependent bistability induced by serotonin in spinal motoneurons.

Authors:  J Hounsgaard; O Kiehn
Journal:  Exp Brain Res       Date:  1985       Impact factor: 1.972

5.  Spike frequency adaptation studied in hypoglossal motoneurons of the rat.

Authors:  A Sawczuk; R K Powers; M D Binder
Journal:  J Neurophysiol       Date:  1995-05       Impact factor: 2.714

6.  Changes of intracellular sodium and potassium ion concentrations in frog spinal motoneurons induced by repetitive synaptic stimulation.

Authors:  P Grafe; J Rimpel; M M Reddy; G ten Bruggencate
Journal:  Neuroscience       Date:  1982       Impact factor: 3.590

7.  Contribution of outward currents to spike-frequency adaptation in hypoglossal motoneurons of the rat.

Authors:  A Sawczuk; R K Powers; M D Binder
Journal:  J Neurophysiol       Date:  1997-11       Impact factor: 2.714

8.  Bistability of alpha-motoneurones in the decerebrate cat and in the acute spinal cat after intravenous 5-hydroxytryptophan.

Authors:  J Hounsgaard; H Hultborn; B Jespersen; O Kiehn
Journal:  J Physiol       Date:  1988-11       Impact factor: 5.182

9.  Repetitive firing properties of developing rat brainstem motoneurones.

Authors:  F Viana; D A Bayliss; A J Berger
Journal:  J Physiol       Date:  1995-08-01       Impact factor: 5.182

10.  Afterhyperpolarization in neurones of the red nucleus.

Authors:  H Hultborn; F Murakami; N Tsukahara; B Gustafsson
Journal:  Exp Brain Res       Date:  1984       Impact factor: 1.972

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  9 in total

1.  Skin relaxation predicts neural firing rate adaptation in SAI touch receptors.

Authors:  Aaron L Williams; Gregory J Gerling; Scott A Wellnitz; Sarah M Bourdon; Ellen A Lumpkin
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  Analysis of impulse adaptation in motoneurons.

Authors:  Jianghong Tian; Tetsuya Iwasaki; Wolfgang Otto Friesen
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-12-24       Impact factor: 1.836

3.  Effects of persistent inward currents, accommodation, and adaptation on motor unit behavior: a simulation study.

Authors:  Ann L Revill; Andrew J Fuglevand
Journal:  J Neurophysiol       Date:  2011-06-22       Impact factor: 2.714

4.  Distinguishing intrinsic from extrinsic factors underlying firing rate saturation in human motor units.

Authors:  Andrew J Fuglevand; Rosemary A Lester; Richard K Johns
Journal:  J Neurophysiol       Date:  2014-12-04       Impact factor: 2.714

5.  The activity of leech motoneurons during motor patterns is regulated by intrinsic properties and synaptic inputs.

Authors:  C Bernardo Perez-Etchegoyen; Rodrigo J Alvarez; Mariano J Rodriguez; Lidia Szczupak
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2011-12-18       Impact factor: 1.836

6.  Role of spike-frequency adaptation in shaping neuronal response to dynamic stimuli.

Authors:  Simon Peter Peron; Fabrizio Gabbiani
Journal:  Biol Cybern       Date:  2009-04-21       Impact factor: 2.086

7.  Maturation of spinal motor neurons derived from human embryonic stem cells.

Authors:  Tomonori Takazawa; Gist F Croft; Mackenzie W Amoroso; Lorenz Studer; Hynek Wichterle; Amy B Macdermott
Journal:  PLoS One       Date:  2012-07-03       Impact factor: 3.240

8.  Force variability is mostly not motor noise: Theoretical implications for motor control.

Authors:  Akira Nagamori; Christopher M Laine; Gerald E Loeb; Francisco J Valero-Cuevas
Journal:  PLoS Comput Biol       Date:  2021-03-08       Impact factor: 4.475

9.  A motor unit-based model of muscle fatigue.

Authors:  Jim R Potvin; Andrew J Fuglevand
Journal:  PLoS Comput Biol       Date:  2017-06-02       Impact factor: 4.475

  9 in total

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