Deep brain stimulation: emerging tools for simulation, data analysis, and visualization
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Authors
Wårdell, Karin
Nordin, Teresa
Zsigmond, Peter
Westin, Carl-Fredrik
Hariz, Marwan
Vogel, Dorian
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Publication date
11.04.2022
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01A - Journal article
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Frontiers in Neuroscience
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Volume
16
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Frontiers
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Abstract
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.
Keywords
deep brain stimulation (DBS), modeling and simulation, neuroimaging, probabilistic mapping, connectivity, intraoperative measurements, visualization
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ISBN
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1662-453X
1662-4548
1662-4548
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
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Citation
Wårdell, K., Nordin, T., Zsigmond, P., Westin, C.-F., Hariz, M., Vogel, D., & Hemm-Ode, S. (2022). Deep brain stimulation: emerging tools for simulation, data analysis, and visualization. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.834026