… functional magnetic resonance imaging (fMRI) can be used to predict optimal stimulation
settings for … trial in 67 PD patients using optimal and non-optimal stimulation settings. Clinically …

… adjust stimulation parameters by the brain response in real time. The optimum combination
… odd degree polynomials are tested since the parameter e in the logistic function fLR(x) in (10…

… about the optimal location, time and intensity of stimulation. … disorder specialist following
optimization of DBS parameters. In … as a function of number of features for the prediction of DBS …

… of optimal DBS parameters in classification task, and the predicted optimal DBS parameter
value in prediction … For the classification model, a sigmoid activation function was employed at …

… To obtain the best experience, we recommend you use a … the data processing and predictive
modeling, we use SHAP (… mean Shapley value, using the ‘ols’ function from the ‘statsmodels.…

… functional localisation of the STN by online spectral analysis of LFPs recorded from the DBS
electrode may provide information that helps predict optimal stimulation settings … functional …

… Deep brain stimulation (DBS) of the subthalamic region is an … extends the typical clinical
database functionality, as well as … Our goal was to use computer optimization to predict the most …

… Postoperative stimulation parameters and dopaminergic … Our prediction model performs
with an average area under the … better and worse neuropsychological functioning, respectively. …

… in Movement Disorder Society Unified Parkinson’s Disease … , average, and minimum likelihoods
of predicting the optimal … by stimulation field modeling combined with functional anatomy…

… nucleus predicted clinical status and therapeutic response to deep brain stimulation; however,
… Stimulation parameters were set to produce optimal clinical responses. Medication was …