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Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization
Deep brain stimulation (DBS) is a well-established neurosurgical procedure for movement disorders that is also being explored for treatment-resistant psychiatric conditions. This review highlights important consideration for DBS simulation and data analysis. The literature on DBS has expanded consid...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036439/ https://www.ncbi.nlm.nih.gov/pubmed/35478842 http://dx.doi.org/10.3389/fnins.2022.834026 |
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author | Wårdell, Karin Nordin, Teresa Vogel, Dorian Zsigmond, Peter Westin, Carl-Fredrik Hariz, Marwan Hemm, Simone |
author_facet | Wårdell, Karin Nordin, Teresa Vogel, Dorian Zsigmond, Peter Westin, Carl-Fredrik Hariz, Marwan Hemm, Simone |
author_sort | Wårdell, Karin |
collection | PubMed |
description | Deep brain stimulation (DBS) is a well-established neurosurgical procedure for movement disorders that is also being explored for treatment-resistant psychiatric conditions. This review highlights important consideration for DBS simulation and data analysis. The literature on DBS has expanded considerably in recent years, and this article aims to identify important trends in the field. During DBS planning, surgery, and follow up sessions, several large data sets are created for each patient, and it becomes clear that any group analysis of such data is a big data analysis problem and has to be handled with care. The aim of this review is to provide an update and overview from a neuroengineering perspective of the current DBS techniques, technical aids, and emerging tools with the focus on patient-specific electric field (EF) simulations, group analysis, and visualization in the DBS domain. Examples are given from the state-of-the-art literature including our own research. This work reviews different analysis methods for EF simulations, tractography, deep brain anatomical templates, and group analysis. Our analysis highlights that group analysis in DBS is a complex multi-level problem and selected parameters will highly influence the result. DBS analysis can only provide clinically relevant information if the EF simulations, tractography results, and derived brain atlases are based on as much patient-specific data as possible. A trend in DBS research is creation of more advanced and intuitive visualization of the complex analysis results suitable for the clinical environment. |
format | Online Article Text |
id | pubmed-9036439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90364392022-04-26 Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization Wårdell, Karin Nordin, Teresa Vogel, Dorian Zsigmond, Peter Westin, Carl-Fredrik Hariz, Marwan Hemm, Simone Front Neurosci Neuroscience Deep brain stimulation (DBS) is a well-established neurosurgical procedure for movement disorders that is also being explored for treatment-resistant psychiatric conditions. This review highlights important consideration for DBS simulation and data analysis. The literature on DBS has expanded considerably in recent years, and this article aims to identify important trends in the field. During DBS planning, surgery, and follow up sessions, several large data sets are created for each patient, and it becomes clear that any group analysis of such data is a big data analysis problem and has to be handled with care. The aim of this review is to provide an update and overview from a neuroengineering perspective of the current DBS techniques, technical aids, and emerging tools with the focus on patient-specific electric field (EF) simulations, group analysis, and visualization in the DBS domain. Examples are given from the state-of-the-art literature including our own research. This work reviews different analysis methods for EF simulations, tractography, deep brain anatomical templates, and group analysis. Our analysis highlights that group analysis in DBS is a complex multi-level problem and selected parameters will highly influence the result. DBS analysis can only provide clinically relevant information if the EF simulations, tractography results, and derived brain atlases are based on as much patient-specific data as possible. A trend in DBS research is creation of more advanced and intuitive visualization of the complex analysis results suitable for the clinical environment. Frontiers Media S.A. 2022-04-11 /pmc/articles/PMC9036439/ /pubmed/35478842 http://dx.doi.org/10.3389/fnins.2022.834026 Text en Copyright © 2022 Wårdell, Nordin, Vogel, Zsigmond, Westin, Hariz and Hemm. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wårdell, Karin Nordin, Teresa Vogel, Dorian Zsigmond, Peter Westin, Carl-Fredrik Hariz, Marwan Hemm, Simone Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization |
title | Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization |
title_full | Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization |
title_fullStr | Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization |
title_full_unstemmed | Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization |
title_short | Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization |
title_sort | deep brain stimulation: emerging tools for simulation, data analysis, and visualization |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036439/ https://www.ncbi.nlm.nih.gov/pubmed/35478842 http://dx.doi.org/10.3389/fnins.2022.834026 |
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