Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wårdell, Karin, Nordin, Teresa, Vogel, Dorian, Zsigmond, Peter, Westin, Carl-Fredrik, Hariz, Marwan, Hemm, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784693522967822336
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
work_keys_str_mv AT wardellkarin deepbrainstimulationemergingtoolsforsimulationdataanalysisandvisualization
AT nordinteresa deepbrainstimulationemergingtoolsforsimulationdataanalysisandvisualization
AT vogeldorian deepbrainstimulationemergingtoolsforsimulationdataanalysisandvisualization
AT zsigmondpeter deepbrainstimulationemergingtoolsforsimulationdataanalysisandvisualization
AT westincarlfredrik deepbrainstimulationemergingtoolsforsimulationdataanalysisandvisualization
AT harizmarwan deepbrainstimulationemergingtoolsforsimulationdataanalysisandvisualization
AT hemmsimone deepbrainstimulationemergingtoolsforsimulationdataanalysisandvisualization