Multiscale Modelling of the Neuromuscular System for Closed Loop Deep Brain Stimulation

Deep brain stimulation (DBS) is an effective therapy for treating the symptoms of Parkinson’s disease. Currently DBS operates in ‘open-loop’, with empirically set stimulus parameters. Closed-loop DBS systems, which could automatically adjust stimulation parameters in response to patient symptoms or side-effects, have the potential to overcome the limitations of current DBS systems to improve the therapeutic efficacy for patients while reducing side-effects, costs and energy consumption. To design these types of systems we need to more fully understand how DBS works.

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