title: Computational analysis of deep brain stimulation.
abstract: Chronic, high-frequency electrical stimulation of subcortical brain structures (deep brain stimulation [DBS]) is an effective clinical treatment for several medically refractory neurological disorders. However, the clinical successes of DBS are tempered by the limited understanding of the response of neurons to applied electric fields and scientific definition of the therapeutic mechanisms of DBS remains elusive. In addition, it is presently unclear which electrode designs and stimulation parameters are optimal for maximum therapeutic benefit and minimal side effects. Detailed computer modeling of DBS has recently emerged as a powerful technique to enhance our understanding of the effects of DBS and to create a virtual testing ground for new stimulation paradigms. This review summarizes the fundamentals of neurostimulation modeling and provides an overview of some of the scientific contributions of computer models to the field of DBS. We then provide a prospective view on the application of DBS-modeling tools to augment the clinical utility of DBS and to design the next generation of DBS technology.
authors.affiliation: Department of Biomedical Engineering, Cleveland Clinic Foundation, Cleveland, OH 44195, USA. mcintyc@ccf.org
authors.forename: Cameron C
authors.initials: CC
authors.lastname: McIntyre
authors.forename: Svjetlana
authors.initials: S
authors.lastname: Miocinovic
authors.forename: Christopher R
authors.initials: CR
authors.lastname: Butson
mesh_terms: D001921:Brain / Q000166:cytology / Q000502:physiology*; D003198:Computer Simulation; D046690:Deep Brain Stimulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*