Literature DB >> 10396827

A model of the electrical behaviour of myelinated sensory nerve fibres based on human data.

W A Wesselink1, J Holsheimer, H B Boom.   

Abstract

Calculation of the response of human myelinated sensory nerve fibres to spinal cord stimulation initiated the development of a fibre model based on electrophysiological and morphometric data for human sensory nerve fibres. The model encompasses a mathematical description of the kinetics of the nodal membrane, and a non-linear fibre geometry. Fine tuning of only a few, not well-established parameters was performed by fitting the shape of a propagating action potential and its diameter-dependent propagation velocity. The quantitative behaviour of this model corresponds better to experimentally determined human fibre properties than other mammalian, nonhuman models do. Typical characteristics, such as the shape of the action potential, the propagation velocity and the strength-duration behaviour show a good fit with experimental data. The introduced diameter-dependent parameters did not result in a noticeable diameter dependency of action potential duration and refractory period. The presented model provides an improved tool to analyse the electrical behaviour of human myelinated sensory nerve fibres.

Entities:  

Mesh:

Year:  1999        PMID: 10396827     DOI: 10.1007/bf02513291

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


  32 in total

1.  Dorsal column stimulation: optimization of application.

Authors:  C Burton
Journal:  Surg Neurol       Date:  1975-07

2.  Morphometric studies on the human sural nerve.

Authors:  F Behse
Journal:  Acta Neurol Scand Suppl       Date:  1990

3.  Axons, but not cell bodies, are activated by electrical stimulation in cortical gray matter. I. Evidence from chronaxie measurements.

Authors:  L G Nowak; J Bullier
Journal:  Exp Brain Res       Date:  1998-02       Impact factor: 1.972

4.  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

5.  Na currents and action potentials in rat myelinated nerve fibres at 20 and 37 degrees C.

Authors:  J R Schwarz; G Eikhof
Journal:  Pflugers Arch       Date:  1987-08       Impact factor: 3.657

6.  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

7.  A quantitative description of membrane currents in rabbit myelinated nerve.

Authors:  S Y Chiu; J M Ritchie; R B Rogart; D Stagg
Journal:  J Physiol       Date:  1979-07       Impact factor: 5.182

8.  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

9.  The strength-duration relationship for excitation of myelinated nerve: computed dependence on membrane parameters.

Authors:  H Bostock
Journal:  J Physiol       Date:  1983-08       Impact factor: 5.182

10.  The influence of diameter of medullated nerve fibres of cats on the rising and falling phases of the spike and its recovery.

Authors:  A S Paintal
Journal:  J Physiol       Date:  1966-06       Impact factor: 5.182

View more
  19 in total

1.  Determining which mechanisms lead to activation in the motor cortex: a modeling study of transcranial magnetic stimulation using realistic stimulus waveforms and sulcal geometry.

Authors:  R Salvador; S Silva; P J Basser; P C Miranda
Journal:  Clin Neurophysiol       Date:  2010-10-28       Impact factor: 3.708

2.  Selective activation of small-diameter motor fibres using exponentially rising waveforms: a theoretical study.

Authors:  K Hennings; L Arendt-Nielsen; S S Christensen; O K Andersen
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

3.  Modelling motor cortex stimulation for chronic pain control: electrical potential field, activating functions and responses of simple nerve fibre models.

Authors:  L Manola; B H Roelofsen; J Holsheimer; E Marani; J Geelen
Journal:  Med Biol Eng Comput       Date:  2005-05       Impact factor: 2.602

4.  Influence of variable nerve fibre geometry on the excitation and blocking threshold. A simulation study.

Authors:  A Vucković; J J Struijk; N J M Rijkhoff
Journal:  Med Biol Eng Comput       Date:  2005-05       Impact factor: 2.602

5.  Simulation of intra-orbital optic nerve electrical stimulation.

Authors:  M Oozeer; C Veraart; V Legat; J Delbeke
Journal:  Med Biol Eng Comput       Date:  2005-09       Impact factor: 2.602

6.  A computational study to evaluate the activation pattern of nerve fibers in response to interferential currents stimulation.

Authors:  Mahsa Agharezaee; Amin Mahnam
Journal:  Med Biol Eng Comput       Date:  2015-04-03       Impact factor: 2.602

7.  A model of motor and sensory axon activation in the median nerve using surface electrical stimulation.

Authors:  Jessica L Gaines; Kathleen E Finn; Julia P Slopsema; Lane A Heyboer; Katharine H Polasek
Journal:  J Comput Neurosci       Date:  2018-06-26       Impact factor: 1.621

8.  The impact of internodal segmentation in biophysical nerve fiber models.

Authors:  David M T Dekker; Jeroen J Briaire; Johan H M Frijns
Journal:  J Comput Neurosci       Date:  2014-05-15       Impact factor: 1.621

9.  Modified cable equation incorporating transverse polarization of neuronal membranes for accurate coupling of electric fields.

Authors:  Boshuo Wang; Aman S Aberra; Warren M Grill; Angel V Peterchev
Journal:  J Neural Eng       Date:  2018-04       Impact factor: 5.379

10.  Modelling the response of scalp sensory receptors to transcranial electrical stimulation.

Authors:  V Suihko
Journal:  Med Biol Eng Comput       Date:  2002-07       Impact factor: 2.602

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.