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Modelling Details for Electric Field Simulations of Deep Brain Stimulation
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-6896-1452
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0012-7867
2019 (English)In: WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1, SPRINGER , 2019, Vol. 68, no 1, p. 645-648Conference paper, Published paper (Refereed)
Abstract [en]

Deep brain stimulation is a well-established technique for symptomatic treatment of e.g. Parkinsons disease and essential tremor. Computer simulations using the finite element method (FEM) are widely used to estimate the affected area around the DBS electrodes. For the reliability of the simulations, it is important to match used simulation parameters with experimental data. One such parameter is the electric field magnitude threshold EFt required for axon stimulation. Another is the conductivity of the perielectrode space (PES) around the electrode. At the acute stage after surgery the PES will be characterized by an increased conductivity due to inflammation and edema while the later chronic stage will be characterized by a lower conductivity due to gliosis and minor scar formation. In this study, the EFt and the electric conductivity of the PES have been estimated by comparing FEM simulations with clinical studies of activation distance, pulse length and electrode impedance. The resulting estimates are an EFt of 0.2 V/mm at the common pulse width of 60 mu s and a chronaxie of 62 mu s. Estimated electric conductivities for the PES are 0.14 S/m in the acute stage and 0.05 S/m in the chronic stage, assuming a PES width of 250 mu m. These values are thus experimentally justified to use in FEM simulations of DBS.

Place, publisher, year, edition, pages
SPRINGER , 2019. Vol. 68, no 1, p. 645-648
Series
IFMBE Proceedings, ISSN 1680-0737
Keywords [en]
Deep brain stimulation (DBS); Finite element method (FEM); Electric field (EF)
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-159328DOI: 10.1007/978-981-10-9035-6_120ISI: 000450908300120ISBN: 978-981-10-9035-6 (electronic)ISBN: 978-981-10-9034-9 (print)OAI: oai:DiVA.org:liu-159328DiVA, id: diva2:1341094
Conference
IUPESM World Congress on Medical Physics and Biomedical Engineering
Note

Funding Agencies|Swedish Research Council (Vetenskapsradet) [2016-03564]; Swedish Foundation for Strategic Research [BD15-0032]; Knut and Alice Wallenberg Foundation

Available from: 2019-08-07 Created: 2019-08-07 Last updated: 2019-08-12

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