TuneS: Patient-specific model-based optimization of contact configuration in deep brain stimulation
| Autor: | Frigge, Anna Franziska, Uggla, Lina, Jiltsova, Elena, Fahlström, Markus, Nyholm, Dag, Medvedev, Alexander |
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| Rok vydání: | 2024 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | Objective: The objective of this study is to develop and evaluate a systematic approach to optimize Deep Brain Stimulation (DBS) parameters, addressing the challenge of identifying patient-specific settings and optimal stimulation targets for various neurological and mental disorders. Methods: TuneS, a novel pipeline to predict clinically optimal DBS contact configurations based on predefined targets and constraints, is introduced. The method relies upon patient-specific models of stimulation spread and extends optimization beyond traditional neural structures to include automated, model-based targeting of streamlines. Results: Initial findings demonstrate that STN motor streamlines consistently receive a significant portion of the allocated stimulation volume, suggesting that a consistent portion of the stimulation should ideally focus on the STN motor streamlines. At the example of a small cohort of Parkinson's disease patients, the value of model-based contact predictions for assessing stimulation targets while observing constraints is demonstrated. Conclusion: TuneS shows promise as a research tool, enabling systematic assessment of DBS target effectiveness and facilitating constraint-aware optimization of stimulation parameters. Significance: The presented pipeline offers a pathway to improve patient-specific DBS therapies and contributes to the broader understanding of effective DBS targeting strategies. Comment: 8 pages, 9 figures, submitted to IEEE Transactions on Biomedical Engineering |
| Databáze: | arXiv |
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