Computational modeling to advance deep brain stimulation for the treatment of Parkinson ’s disease

We describe two classes of models: (1) abstract models, which aim to replicate behaviors without simulating exact patient measures, and (2) clinically predictive models, which aim to simulate patient specific parameters. Abstract models can be used to develop novel patterns of stimulation while clinically predictive models can be used to aid clinicians in selecting therapeutic stimulation parameters for each patient. These principles can likely be applied to stimulation therapies for a number of disorders.
Source: Drug Discovery Today: Disease Models - Category: Drugs & Pharmacology Source Type: research