Computational modeling of deep brain stimulation

Cameron C. Mcintyre, Thomas J. Foutz

Research output: Chapter in Book/Report/Conference proceedingChapter

20 Scopus citations

Abstract

Deep brain stimulation (DBS) is an effective clinical treatment for several medically refractory neurological disorders. However, even after decades of clinical success, explicit understanding of the response of neurons to applied electric fields remains limited, and scientific definition of the therapeutic mechanisms of DBS remains elusive. In addition, it is presently unclear which electrode designs and stimulation paradigms are optimal for maximal therapeutic benefit and minimal side-effects with DBS. Detailed computer modeling of DBS has emerged recently as a powerful technique to enhance our understanding of the effects of DBS and to create a virtual testing ground for new stimulation strategies. This chapter summarizes the fundamentals of neurostimulation modeling, presents some scientific contributions of computer models to the field of DBS, and demonstrates the application of DBS modeling tools to augment the clinical utility of DBS.

Original languageEnglish
Title of host publicationHandbook of Clinical Neurology
PublisherElsevier B.V.
Pages55-61
Number of pages7
DOIs
StatePublished - Jan 1 2013
Externally publishedYes

Publication series

NameHandbook of Clinical Neurology
Volume116
ISSN (Print)0072-9752

Keywords

  • Depression
  • Dystonia
  • Epilepsy
  • Essential tremor
  • Neuromodulation
  • Neurostimulation
  • Obsessive-compulsive disorder
  • Parkinson's disease

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    Mcintyre, C. C., & Foutz, T. J. (2013). Computational modeling of deep brain stimulation. In Handbook of Clinical Neurology (pp. 55-61). (Handbook of Clinical Neurology; Vol. 116). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-53497-2.00005-X