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Spinal Cord
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Computer modelling of spinal cord stimulation and its contribution to therapeutic efficacy
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  • Published: 04 August 1998

Computer modelling of spinal cord stimulation and its contribution to therapeutic efficacy

  • Jan Holsheimer1 

Spinal Cord volume 36, pages 531–540 (1998)Cite this article

  • 1527 Accesses

  • 109 Citations

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Abstract

An overview of computer models developed since the late seventies, which enable the simulation of the primary effects of spinal cord stimulation (SCS) on nerve fibres, is presented. These models consist of a 3-dimensional volume conductor model, representing anatomical structures and their electrical conductivities, and cable models representing the electrical behaviour of nerve fibres. The characteristics of these models and their relation to anatomy and physiology, as well as the calculation of stimulation-induced electrical fields and their effect on nerve fibre models, are reviewed. It is shown that most characteristics of SCS as predicted by computer modelling correspond well with empirical data. Accordingly, a theoretical framework describing the relations between relevant parameters in SCS is presented. Finally, it is shown how theory and computer modeling are applied to improve the efficacy of SCS by the optimization of its technique, primarily by the design of new epidural electrodes.

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  1. Department of Electrical Engineering, Institute for Biomedical Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands

    Jan Holsheimer

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  1. Jan Holsheimer
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Cite this article

Holsheimer, J. Computer modelling of spinal cord stimulation and its contribution to therapeutic efficacy. Spinal Cord 36, 531–540 (1998). https://doi.org/10.1038/sj.sc.3100717

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  • Published: 04 August 1998

  • Issue Date: 01 August 1998

  • DOI: https://doi.org/10.1038/sj.sc.3100717

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Keywords

  • computer modelling
  • dorsal column stimulation
  • dorsal root stimulation
  • epidural electrode
  • spinal cord stimulation

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Spinal Cord (Spinal Cord) ISSN 1476-5624 (online) ISSN 1362-4393 (print)

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