Abstract
Deep brain stimulation (DBS) promises to treat an increasing number of neurological and psychiatric disorders. DBS outcome is directly a factor of optimal targeting of the relevant brain structures. Computational models can help to interpret a patient's outcome by predicting the volume of tissue activated (VTA) around DBS electrode contacts. Here we report results of a preliminary study of DBS in two patients with obsessive-compulsive disorder and show that VTA predictions, which are based on patient-specific volume conductor models, correlate with clinical outcome. Our results suggest that patient specific VTA calculation can help inform device programing to maximize therapeutic effects and minimize side effects.Clinical Relevance - Patient-specific modeling of the volume of activated tissue can predict clinical outcomes and thus, can help to optimize DBS device programing to maximize therapeutic effects.
Original language | English (US) |
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Title of host publication | 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5889-5892 |
Number of pages | 4 |
ISBN (Electronic) | 9781728111797 |
DOIs | |
State | Published - 2021 |
Event | 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 - Virtual, Online, Mexico Duration: Nov 1 2021 → Nov 5 2021 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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ISSN (Print) | 1557-170X |
Conference
Conference | 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 |
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Country/Territory | Mexico |
City | Virtual, Online |
Period | 11/1/21 → 11/5/21 |
Funding
Research supported by NIH grant R00EB021320.
ASJC Scopus subject areas
- Signal Processing
- Health Informatics
- Computer Vision and Pattern Recognition
- Biomedical Engineering