Improvement of Pyramidal Tract Side Effect Prediction Using a Data-Driven Method in Subthalamic Stimulation
Subthalamic nucleus deep brain stimulation is limited by the occurrence of pyramidal tract side effect induced by electrical activation of the pyramidal tract. Previous biophysical models to predict this effect are either inaccurate or time consuming. In this paper, we proposed a data driven based method that enables real time computing and with enough accuracy for the use in clinical practice. Compared to the biophysical method, the data-driven method showed results significantly better in order to predict pyramidal tract side effect.