• DocumentCode
    141254
  • Title

    Modeling dermatome selectivity of single-and multiple-current source spinal cord stimulation systems

  • Author

    Xiaoyi Min ; Kent, Alexander R. ; Rosenberg, Stuart P. ; Fayram, Timothy A.

  • Author_Institution
    St. Jude Med., Sylmar, CA, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    6246
  • Lastpage
    6249
  • Abstract
    A recently published computational modeling study of spinal cord stimulation (SCS) predicted that a multiple current source (MCS) system could generate a greater number of central points of stimulation in the dorsal column (DC) than a single current source (1CS) system. However, the clinical relevance of this finding has not been established. The objective of this work was to compare the dermatomal zone selectivity of MCS and 1CS systems. A finite element method (FEM) model was built with a representation of the spinal cord anatomy and a 2×8 paddle electrode array. Using a contact configuration with two aligned tripoles, the FEM model was used to solve for DC field potentials across incremental changes in current between the two cathodes, modeling the MCS and 1CS systems. The activation regions within the DC were determined by coupling the FEM output to a biophysical nerve fiber model, and coverage was mapped to dermatomal zones. Results showed marginal differences in activated dermatomal zones between 1CS and MCS systems. This indicates that a MCS system may not provide incremental therapeutic benefit as suggested in prior analysis.
  • Keywords
    bioelectric potentials; biomedical electrodes; finite element analysis; neurophysiology; patient treatment; physiological models; skin; DC field potentials; FEM model; biophysical nerve fiber model; cathodes; dermatome selectivity modeling; dorsal column stimulation; finite element method; multiple-current source spinal cord stimulation systems; paddle electrode array; single-current source spinal cord stimulation systems; spinal cord anatomy representation; tripole alignment; Biological system modeling; Cathodes; Computational modeling; Electrical stimulation; Finite element analysis; Nerve fibers; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6945056
  • Filename
    6945056