Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson’s disease
Fig 3
(a) time-series data and (b) PSD analysis in three conditions: naïve, DD, and DD with cDBS in the STN. The model produced a spectral peak at 29 Hz, which increased and widened in the DD state. When cDBS was applied to the STN of the model, the spectral power in beta band decreased.