A review on microelectrode recording selection of features for machine learning in deep brain stimulation surgery for Parkinson’s disease

Parkinson's disease (PD) is a progressive, neurodegenerative disease characterized by motor symptoms that include bradykinesia, resting tremor, postural instability, and rigidity leading to significant effects on patient's quality of life. (Brocker et al., 2017; Gulberti et al., 2015). High frequency deep brain stimulation (DBS), to either the globus pallidus internus (GPi) or subthalamic nucleus (STN) (Williams et al., 2014), is an effective surgical treatment for moderate to advanced PD that improves motor symptoms and quality of life (Brocker et al., 2017; Holt and Netoff, 2016; Karamintziou et al., 2016, 2017; Kühn and Volkmann, 2017; Rowland et al., 2017).

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