Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review
Deep brain stimulation (DBS) is a neuromodulatory therapy that has been FDA approved for the treatment of various disorders, including but not limited to, movement disorders (e.g., Parkinson’s disease and essential tremor), epilepsy, and obsessive-compulsive disorder. Computational methods for estim...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2024.1333183/full |
| _version_ | 1797216011739463680 |
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| author | Erin E. Patrick Chance R. Fleeting Drashti R. Patel Jed T. Casauay Aashay Patel Hunter Shepherd Joshua K. Wong |
| author_facet | Erin E. Patrick Chance R. Fleeting Drashti R. Patel Jed T. Casauay Aashay Patel Hunter Shepherd Joshua K. Wong |
| author_sort | Erin E. Patrick |
| collection | DOAJ |
| description | Deep brain stimulation (DBS) is a neuromodulatory therapy that has been FDA approved for the treatment of various disorders, including but not limited to, movement disorders (e.g., Parkinson’s disease and essential tremor), epilepsy, and obsessive-compulsive disorder. Computational methods for estimating the volume of tissue activated (VTA), coupled with brain imaging techniques, form the basis of models that are being generated from retrospective clinical studies for predicting DBS patient outcomes. For instance, VTA models are used to generate target-and network-based probabilistic stimulation maps that play a crucial role in predicting DBS treatment outcomes. This review defines the methods for calculation of tissue activation (or modulation) including ones that use heuristic and clinically derived estimates and more computationally involved ones that rely on finite-element methods and biophysical axon models. We define model parameters and provide a comparison of commercial, open-source, and academic simulation platforms available for integrated neuroimaging and neural activation prediction. In addition, we review clinical studies that use these modeling methods as a function of disease. By describing the tissue-activation modeling methods and highlighting their application in clinical studies, we provide the neural engineering and clinical neuromodulation communities with perspectives that may influence the adoption of modeling methods for future DBS studies. |
| first_indexed | 2024-04-24T11:39:11Z |
| format | Article |
| id | doaj.art-2e65ed51999b4bf79954d2bb3fbe7bc1 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-04-24T11:39:11Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-2e65ed51999b4bf79954d2bb3fbe7bc12024-04-10T04:26:55ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612024-04-011810.3389/fnhum.2024.13331831333183Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a reviewErin E. Patrick0Chance R. Fleeting1Drashti R. Patel2Jed T. Casauay3Aashay Patel4Hunter Shepherd5Joshua K. Wong6Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, United StatesCollege of Medicine, University of Florida, Gainesville, FL, United StatesCollege of Medicine, University of Florida, Gainesville, FL, United StatesCollege of Medicine, University of Florida, Gainesville, FL, United StatesCollege of Medicine, University of Florida, Gainesville, FL, United StatesCollege of Medicine, University of Florida, Gainesville, FL, United StatesDepartment of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United StatesDeep brain stimulation (DBS) is a neuromodulatory therapy that has been FDA approved for the treatment of various disorders, including but not limited to, movement disorders (e.g., Parkinson’s disease and essential tremor), epilepsy, and obsessive-compulsive disorder. Computational methods for estimating the volume of tissue activated (VTA), coupled with brain imaging techniques, form the basis of models that are being generated from retrospective clinical studies for predicting DBS patient outcomes. For instance, VTA models are used to generate target-and network-based probabilistic stimulation maps that play a crucial role in predicting DBS treatment outcomes. This review defines the methods for calculation of tissue activation (or modulation) including ones that use heuristic and clinically derived estimates and more computationally involved ones that rely on finite-element methods and biophysical axon models. We define model parameters and provide a comparison of commercial, open-source, and academic simulation platforms available for integrated neuroimaging and neural activation prediction. In addition, we review clinical studies that use these modeling methods as a function of disease. By describing the tissue-activation modeling methods and highlighting their application in clinical studies, we provide the neural engineering and clinical neuromodulation communities with perspectives that may influence the adoption of modeling methods for future DBS studies.https://www.frontiersin.org/articles/10.3389/fnhum.2024.1333183/fullvolume of tissue activatedVTAdeep brain stimulationDBSneuroimagingprobabilistic stimulation atlas |
| spellingShingle | Erin E. Patrick Chance R. Fleeting Drashti R. Patel Jed T. Casauay Aashay Patel Hunter Shepherd Joshua K. Wong Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review Frontiers in Human Neuroscience volume of tissue activated VTA deep brain stimulation DBS neuroimaging probabilistic stimulation atlas |
| title | Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review |
| title_full | Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review |
| title_fullStr | Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review |
| title_full_unstemmed | Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review |
| title_short | Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review |
| title_sort | modeling the volume of tissue activated in deep brain stimulation and its clinical influence a review |
| topic | volume of tissue activated VTA deep brain stimulation DBS neuroimaging probabilistic stimulation atlas |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2024.1333183/full |
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