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Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review
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 wid...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694006/ https://www.ncbi.nlm.nih.gov/pubmed/33139614 http://dx.doi.org/10.3390/brainsci10110809 |
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author | Watts, Jeremy Khojandi, Anahita Shylo, Oleg Ramdhani, Ritesh A. |
author_facet | Watts, Jeremy Khojandi, Anahita Shylo, Oleg Ramdhani, Ritesh A. |
author_sort | Watts, Jeremy |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7694006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76940062020-11-28 Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review Watts, Jeremy Khojandi, Anahita Shylo, Oleg Ramdhani, Ritesh A. Brain Sci Review 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. MDPI 2020-11-01 /pmc/articles/PMC7694006/ /pubmed/33139614 http://dx.doi.org/10.3390/brainsci10110809 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Watts, Jeremy Khojandi, Anahita Shylo, Oleg Ramdhani, Ritesh A. Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review |
title | Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review |
title_full | Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review |
title_fullStr | Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review |
title_full_unstemmed | Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review |
title_short | Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review |
title_sort | machine learning’s application in deep brain stimulation for parkinson’s disease: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694006/ https://www.ncbi.nlm.nih.gov/pubmed/33139614 http://dx.doi.org/10.3390/brainsci10110809 |
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