Literature DB >> 10984943

Modelling the effects of electric fields on nerve fibres: influence of the myelin sheath.

A G Richardson1, C C McIntyre, W M Grill.   

Abstract

The excitation and conduction properties of computer-based cable models of mammalian motor nerve fibres, incorporating three different myelin representations, are compared. The three myelin representations are a perfectly insulating single cable (model A), a finite impedance single cable (model B) and a finite impedance double cable (model C). Extracellular stimulation of the three models is used to study their strength-duration and current-distance (I-X) relationships, conduction velocity (CV) and action potential shape. All three models have a chronaxie time that is within the experimental range. Models B and C have increased threshold currents compared with model A, but each model has slope to the I-X relationship that matches experimental results. Model B has a CV that matches experimental data, whereas the CV of models A and C are above and below the experimental range, respectively. Model C is able to produce a depolarising afterpotential (DAP), whereas models A and B exhibit hyperpolarising afterpotentials. Models A and B are determined to be the preferred models when low-frequency stimulation (< approximately 25 Hz) is used, owing to their efficiency and accurate excitation and conduction properties. For high frequency stimulation (approximately 25 Hz and greater), model C, with its ability to produce a DAP, is necessary accurately to simulate excitation behaviour.

Entities:  

Mesh:

Year:  2000        PMID: 10984943     DOI: 10.1007/BF02345014

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  45 in total

1.  Evidence for saltatory conduction in peripheral myelinated nerve fibres.

Authors:  A F Huxley; R Stämpfli
Journal:  J Physiol       Date:  1949-05-15       Impact factor: 5.182

2.  Organization of ion channels in the myelinated nerve fiber.

Authors:  S G Waxman; J M Ritchie
Journal:  Science       Date:  1985-06-28       Impact factor: 47.728

3.  Latent addition in motor and sensory fibres of human peripheral nerve.

Authors:  H Bostock; J C Rothwell
Journal:  J Physiol       Date:  1997-01-01       Impact factor: 5.182

4.  Analysis of threshold currents during microstimulation of fibres in the spinal cord.

Authors:  W J Roberts; D O Smith
Journal:  Acta Physiol Scand       Date:  1973-11

5.  A quantitative study of electrical stimulation of central myelinated fibers.

Authors:  S L BeMent; J B Ranck
Journal:  Exp Neurol       Date:  1969-06       Impact factor: 5.330

6.  Cable equation for a myelinated axon derived from its microstructure.

Authors:  P J Basser
Journal:  Med Biol Eng Comput       Date:  1993-07       Impact factor: 2.602

7.  A quantitative approach to modeling mammalian myelinated nerve fibers for electrical prosthesis design.

Authors:  J H Frijns; J Mooij; J H ten Kate
Journal:  IEEE Trans Biomed Eng       Date:  1994-06       Impact factor: 4.538

8.  Electron microscopic serial section analysis of nodes of Ranvier in lumbar spinal roots of the cat: a morphometric study of nodal compartments in fibres of different sizes.

Authors:  M Rydmark; C H Berthold
Journal:  J Neurocytol       Date:  1983-08

9.  Axon diameter and myelin sheath thickness in nerve fibres of the ventral spinal root of the seventh lumbar nerve of the adult and developing cat.

Authors:  C H Berthold; I Nilsson; M Rydmark
Journal:  J Anat       Date:  1983-05       Impact factor: 2.610

10.  Specific membrane properties of cat motoneurones.

Authors:  J N Barrett; W E Crill
Journal:  J Physiol       Date:  1974-06       Impact factor: 5.182

View more
  43 in total

1.  Nerve conduction block utilising high-frequency alternating current.

Authors:  K L Kilgore; N Bhadra
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

2.  Strength-duration relationship for extracellular neural stimulation: numerical and analytical models.

Authors:  David Boinagrov; Jim Loudin; Daniel Palanker
Journal:  J Neurophysiol       Date:  2010-08-11       Impact factor: 2.714

3.  Morphological and electrical properties of oligodendrocytes in the white matter of the corpus callosum and cerebellum.

Authors:  Yamina Bakiri; Ragnhildur Káradóttir; Lee Cossell; David Attwell
Journal:  J Physiol       Date:  2010-11-22       Impact factor: 5.182

4.  Axonal and somatic filtering of antidromically evoked cortical excitation by simulated deep brain stimulation in rat brain.

Authors:  T Chomiak; B Hu
Journal:  J Physiol       Date:  2006-12-14       Impact factor: 5.182

5.  Simulation of high-frequency sinusoidal electrical block of mammalian myelinated axons.

Authors:  Niloy Bhadra; Emily A Lahowetz; Stephen T Foldes; Kevin L Kilgore
Journal:  J Comput Neurosci       Date:  2007-01-03       Impact factor: 1.621

6.  Studies of stimulus parameters for seizure disruption using neural network simulations.

Authors:  William S Anderson; Pawel Kudela; Jounhong Cho; Gregory K Bergey; Piotr J Franaszczuk
Journal:  Biol Cybern       Date:  2007-07-07       Impact factor: 2.086

7.  A model of selective activation of the femoral nerve with a flat interface nerve electrode for a lower extremity neuroprosthesis.

Authors:  Matthew A Schiefer; Ronald J Triolo; Dustin J Tyler
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-04       Impact factor: 3.802

8.  Fidelity of frequency and phase entrainment of circuit-level spike activity during DBS.

Authors:  Filippo Agnesi; Abirami Muralidharan; Kenneth B Baker; Jerrold L Vitek; Matthew D Johnson
Journal:  J Neurophysiol       Date:  2015-06-17       Impact factor: 2.714

9.  R-Ras1 and R-Ras2 Are Essential for Oligodendrocyte Differentiation and Survival for Correct Myelination in the Central Nervous System.

Authors:  Miriam Sanz-Rodriguez; Agnès Gruart; Juan Escudero-Ramirez; Fernando de Castro; José María Delgado-García; Francisco Wandosell; Beatriz Cubelos
Journal:  J Neurosci       Date:  2018-05-02       Impact factor: 6.167

10.  Fascicular perineurium thickness, size, and position affect model predictions of neural excitation.

Authors:  Yanina Grinberg; Matthew A Schiefer; Dustin J Tyler; Kenneth J Gustafson
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-12       Impact factor: 3.802

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.