title: Computational models of neuromodulation.
abstract: As neuromodulation therapy has grown, so has the recognition that computational models can provide important insights into the design, operation, and clinical application of neurostimulation systems. Models of deep brain stimulation and spinal cord stimulation have advanced over recent decades from simple, stereotyped models to sophisticated patient-specific models that can incorporate many important details of the stimulation system and the attributes of individual subjects. Models have been used to make detailed predictions of the bioelectric fields produced during stimulation. These predictions have been used as a starting point for further analyses such as stimulation safety, neural response, neurostimulation system design, or clinical outcomes. This chapter provides a review of recent advances and anticipated future directions in computational modeling of neuromodulation.
authors.affiliation: Department of Neurology, Milwaukee, Wisconsin, USA. cbutson@mcw.edu
authors.forename: Christopher R
authors.initials: CR
authors.lastname: Butson
mesh_terms: D000818:Animals; D001921:Brain / Q000473:pathology / Q000502:physiology; D019295:Computational Biology / Q000379:methods* / Q000639:trends; D006801:Humans; D008959:Models, Neurological; D009422:Nervous System Diseases / Q000473:pathology / Q000503:physiopathology; D018377:Neurotransmitter Agents / Q000502:physiology*; D013116:Spinal Cord / Q000473:pathology / Q000502:physiology
chemical_list: D018377:Neurotransmitter Agents