Literature DB >> 2590680

Conduction along myelinated and demyelinated nerve fibres during the recovery cycle: model investigations.

D I Stephanova1.   

Abstract

The membrane excitability changes as well as the underlying mechanisms of these changes in a normal and in a systematically paranodally demyelinated nerve fibre have been investigated by paired stimulation during the first 30 ms of the recovery cycle. The ionic current kinetics determining the observed changes in the action potential parameters are presented also. The simulation of the conduction in the normal fibre is based on the Frankenhaeuser and Huxley (1964) and Goldman and Albus (1968) equations, while in the case of a demyelinated fibre according to the same equations modified by Stephanova (1988a). It has been shown for the demyelinated membrane that increased demyelination increases both the threshold current for the second potential as well as the absolute refractory period. With increasing interpulse interval, the subnormality of the membrane excitability is followed by supernormality in the case of the demyelinated membrane. For the recovery cycle of 30 ms under consideration no supernormality of the normal membrane excitability is obtained. With interpulse interval from 8.8 to 10.9 ms, the highest degree of demyelination (l = 30 microns) is accompanied by a refractory period of transmission. The membrane properties of the normal and demyelinated fibres recover 20 ms after the first pulse. For short interpulse intervals, the amplitude of the second action potential is decreased, and a slower propagation velocity is obtained. The most sensitive phenomenon is the excitability of the demyelinated membrane, which remains unrecovered 30 ms after the first pulses has been applied.

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Year:  1989        PMID: 2590680     DOI: 10.1007/bf00217663

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  15 in total

1.  CHANGES IN NERVE CONDUCTION IN EXPERIMENTAL ALLERGIC NEURITIS.

Authors:  B G CRAGG; P K THOMAS
Journal:  J Neurol Neurosurg Psychiatry       Date:  1964-04       Impact factor: 10.154

2.  Reorganization of the axonal membrane in a demyelinated nerve fiber: computer simulations.

Authors:  D I Stephanova
Journal:  Electromyogr Clin Neurophysiol       Date:  1988 Mar-Apr

3.  Model investigations of the temperature dependence of demyelinated and reorganized axonal membrane.

Authors:  D I Stephanova
Journal:  Biol Cybern       Date:  1989       Impact factor: 2.086

4.  Systematic paranodal demyelination of nerve fibers: computer simulations.

Authors:  D I Stephanova
Journal:  Electromyogr Clin Neurophysiol       Date:  1988 Mar-Apr

5.  Mathematical analysis of the changes in the parameters of the action potentials, membrane and ionic currents of frog muscle fibre during the recovery cycle.

Authors:  D I Stephanova
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

6.  [Refractory period and impulse sequence recorded from the tibial nerve of guinea-pigs with experimental allergic neuritis].

Authors:  H J Lehmann; G Lehmann; W Tackmann
Journal:  Z Neurol       Date:  1971-04-28

7.  Internodal conduction in undissected demyelinated nerve fibres.

Authors:  M Rasminsky; T A Sears
Journal:  J Physiol       Date:  1972-12       Impact factor: 5.182

8.  Computation of impulse conduction in myelinated fibers; theoretical basis of the velocity-diameter relation.

Authors:  L Goldman; J S Albus
Journal:  Biophys J       Date:  1968-05       Impact factor: 4.033

9.  Effect of a demyelinating lesion on conduction in the central nervous system studied in single nerve fibres.

Authors:  W I McDonald; T A Sears
Journal:  J Physiol       Date:  1970-04       Impact factor: 5.182

10.  The effect of temperature on a simulated systematically paranodally demyelinated nerve fiber.

Authors:  D I Stephanova
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

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  4 in total

1.  A distributed-parameter model of the myelinated human motor nerve fibre: temporal and spatial distributions of action potentials and ionic currents.

Authors:  D I Stephanova; H Bostock
Journal:  Biol Cybern       Date:  1995-08       Impact factor: 2.086

2.  Action potential refractory period in axonal demyelination: a computer simulation.

Authors:  F N Quandt; F A Davis
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

3.  Conduction along myelinated and demyelinated nerve fibres with a reorganized axonal membrane during the recovery cycle: model investigations.

Authors:  D I Stephanova
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

4.  Vibration and Trajectory Tracking Control of Engineering Mechanical Arm Based on Neural Network.

Authors:  Xinjun Lei; Yunxin Wu
Journal:  Comput Intell Neurosci       Date:  2022-07-22
  4 in total

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