Predicting the effects of deep brain stimulation using a reduced coupled oscillator model.

ABSTRACT: Deep brain stimulation (DBS) is known to be an effective treatment for a variety of neurological disorders, including Parkinson's disease and essential tremor (ET). At present, it involves administering a train of pulses with constant frequency via electrodes implanted into the brain. New 'closed-loop' approaches involve delivering stimulation according to the ongoing symptoms or brain activity and have the potential to provide improvements in terms of efficiency, efficacy and reduction of side effects. The success of closed-loop DBS depends on being able to devise a stimulation strategy that minimizes oscillations in neural activity associated with symptoms of motor disorders. A useful stepping stone towards this is to construct a mathematical model, which can describe how the brain oscil

SUBMITTER: Weerasinghe G 

PROVIDER: S-EPMC6701819 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature