Lu CW, et al. - Electrophysiological characteristics from microelectrode recordings along 23 subthalamic deep brain stimulation implants in 16 Parkinson disease people were obtained in order to investigate fully individualized anisotropic models of therapeutic tissue activation alongside high-density, broadband electrophysiology to explain and to prognosticate regions of therapeutic tissue activation. The analysis showed wide variations in the therapeutic tissue activation distribution across the subthalamic nucleus defined by the microelectrode recording. Logistic LASSO applied six oscillatory predictors of therapeutic tissue activation to the training set: theta, alpha, beta, high gamma, high frequency oscillations (HFO, 200-400 Hz), and high frequency band (HFB, 500-2000 Hz), in addition to interaction terms: theta x HFB, alpha x beta, beta x HFB, and high gamma x HFO. Under the receiver-operator curve with test data, a probabilistic predictor achieved 0.87 area. Such findings show the significance of personalized targeting and validate a set of microelectrode recording signatures to anticipate therapeutic activation volumes. Such features can be used to improve the effectiveness of deep brain stimulation programming and illustrate specific neural oscillations of physiological importance.