Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review
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Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN 37996, USA
2
Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
*
Author to whom correspondence should be addressed.
Brain Sci. 2020, 10(11), 809; https://doi.org/10.3390/brainsci10110809
Received: 1 October 2020
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Revised: 16 October 2020
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Accepted: 29 October 2020
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Published: 1 November 2020
(This article belongs to the Special Issue State-of-the-Art in Deep Brain Stimulation)
Deep brain stimulation (DBS) is a surgical treatment for advanced Parkinson’s disease (PD) that has undergone technological evolution that parallels an expansion in clinical phenotyping, neurophysiology, and neuroimaging of the disease state. Machine learning (ML) has been successfully used in a wide range of healthcare problems, including DBS. As computational power increases and more data become available, the application of ML in DBS is expected to grow. We review the literature of ML in DBS and discuss future opportunities for such applications. Specifically, we perform a comprehensive review of the literature from PubMed, the Institute for Scientific Information’s Web of Science, Cochrane Database of Systematic Reviews, and Institute of Electrical and Electronics Engineers’ (IEEE) Xplore Digital Library for ML applications in DBS. These studies are broadly placed in the following categories: (1) DBS candidate selection; (2) programming optimization; (3) surgical targeting; and (4) insights into DBS mechanisms. For each category, we provide and contextualize the current body of research and discuss potential future directions for the application of ML in DBS.
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MDPI and ACS Style
Watts, J.; Khojandi, A.; Shylo, O.; Ramdhani, R.A. Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review. Brain Sci. 2020, 10, 809. https://doi.org/10.3390/brainsci10110809
AMA Style
Watts J, Khojandi A, Shylo O, Ramdhani RA. Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review. Brain Sciences. 2020; 10(11):809. https://doi.org/10.3390/brainsci10110809
Chicago/Turabian StyleWatts, Jeremy, Anahita Khojandi, Oleg Shylo, and Ritesh A. Ramdhani. 2020. "Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review" Brain Sciences 10, no. 11: 809. https://doi.org/10.3390/brainsci10110809
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