Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson’s disease
Fig 7
Beta power as a function of stimulation parameters.
Feedback stimulator parameter sweep over stimulus phase trigger, power threshold, and amplitude. The sweep revealed a global minimum of -28.6 dB at 〈2.24 rad, 2.37 mA, -28.6 dB〉, denoted with dashed black lines. The sweep revealed a complex underlying landscape with flat regions (in response to power threshold), nonlinearities (in response to stimulation amplitude), and shallow local minima (high power thresholds). The red and yellow lines indicate the isoclines of the beta power with DBS OFF and cDBS, respectively.