Improve Subthalamic Nucleus Localization During Deep Brain Stimulation Surgery

Abstract

Deep brain stimulation (DBS) is a treatment for movement disorders (e.g., Parkinson’s Disease, or PD) in patients who cannot manage their symptoms with medications. DBS efficacy depends on optimal DBS electrode placement which is achieved by a laborious search of putative electrode sites requiring serial expert analysis of microelectrode recordings. Target localization can be made faster and more accurate with automation powered by machine learning. Faster and more accurate electrode placement can reduce surgical complications and improve patient outcomes.