Fusion of Supervised Feature Selection and Unsupervised Clustering for Multinuclei Classification of MER Signals in DBS for Parkinson’s Disease

In deep brain stimulation (DBS) surgery for Parkinson's disease (PD), the accurate intraoperative identification of key nuclei-such as the subthalamic nucleus (STN)-is critical to ensuring therapeutic efficacy. However, current approaches heavily depend on expert annotations, and classification tasks are typically confined to binary distinctions between STN and non-STN regions. This limitation hampers the real-time recognition of complex and diverse neuroanatomical structures during PD-related D