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Method for patient-specific finite element modeling and simulation of deep brain stimulation

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Abstract

Deep brain stimulation (DBS) is an established treatment for Parkinson’s disease. Success of DBS is highly dependent on electrode location and electrical parameter settings. The aim of this study was to develop a general method for setting up patient-specific 3D computer models of DBS, based on magnetic resonance images, and to demonstrate the use of such models for assessing the position of the electrode contacts and the distribution of the electric field in relation to individual patient anatomy. A software tool was developed for creating finite element DBS-models. The electric field generated by DBS was simulated in one patient and the result was visualized with isolevels and glyphs. The result was evaluated and it corresponded well with reported effects and side effects of stimulation. It was demonstrated that patient-specific finite element models and simulations of DBS can be useful for increasing the understanding of the clinical outcome of DBS.

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Acknowledgments

This work was supported by the Swedish Foundation for Strategic Research (SSF), Swedish Research Council (VR) and Swedish Governmental Agency for Innovation Systems (VINNOVA). The authors would like to thank Johannes Johansson for valuable discussions, Johan Tervald for graphical advice and Göran Salerud for valuable comments on the manuscript.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Linköping University, 581 85, Linköping, Sweden

    Mattias Åström & Karin Wårdell

  2. Institute of Neurology, University College London, Queen Square, London, UK

    Ludvic U. Zrinzo, Stephen Tisch, Elina Tripoliti & Marwan I. Hariz

  3. Department of Neurosurgery, University Hospital, Umeå, Sweden

    Marwan I. Hariz

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  1. Mattias Åström
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  2. Ludvic U. Zrinzo
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Correspondence to Mattias Åström.

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Åström, M., Zrinzo, L.U., Tisch, S. et al. Method for patient-specific finite element modeling and simulation of deep brain stimulation. Med Biol Eng Comput 47, 21–28 (2009). https://doi.org/10.1007/s11517-008-0411-2

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  • DOI: https://doi.org/10.1007/s11517-008-0411-2

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