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Electric Field Modeling and Spatial Control in Deep Brain Stimulation
Uppsala University, Sweden.
Linköping University, Department of Biomedical Engineering, Biomedical Instrumentation. Linköping University, Faculty of Science & Engineering. Medtron Eindhoven Design Centre, Netherlands. (MINT)
Uppsala University, Sweden.
2015 (English)In: 2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), IEEE , 2015, p. 3846-3851Conference paper, Published paper (Refereed)
Abstract [en]

Deep Brain Stimulation (DBS) is an established treatment, in e.g. Parkinsons Disease, whose underlying biological mechanisms are unknown. In DBS, electrical stimulation is delivered through electrodes surgically implanted into certain regions of the brain of the patient. Mathematical models aiming at a better understanding of DBS and optimization of its therapeutical effect through the simulation of the electrical field propagating in the brain tissue have been developed in the past decade. The contribution of the present study is twofold: First, an analytical approximation of the electric field produced by an emitting contact is suggested and compared to the numerical solution given by a Finite Element Method (FEM) solver. Second, the optimal stimulation settings are evaluated by fitting the field distribution to a target one to control the spread of the stimulation. Optimization results are compared to those of a geometric approach, maximizing the intersection between the target and the activated volume in the brain tissue and reducing the stimulated area beyond said target. Both methods exhibit similar performance with respect to the optimal stimuli, with the electric field control approach being faster and more versatile.

Place, publisher, year, edition, pages
IEEE , 2015. p. 3846-3851
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-133146DOI: 10.1109/CDC.2015.7402817ISI: 000381554504006ISBN: 978-1-4799-7886-1 (print)OAI: oai:DiVA.org:liu-133146DiVA, id: diva2:1055173
Conference
54th IEEE Conference on Decision and Control (CDC)
Available from: 2016-12-12 Created: 2016-12-09 Last updated: 2017-02-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf