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Computational Modeling of Deep Brain Stimulation
Linköping University, Department of Biomedical Engineering.
2007 (English)Independent thesis Basic level (professional degree), 20 points / 30 hpStudent thesis
Abstract [en]

Deep brain stimulation (DBS) is a surgical treatment technique, which involves application of electrical pulses via electrodes inserted into the brain. Neurons, typically located in the basal ganglia network, are stimulated by the electrical field. DBS is currently widely used for symptomatically treating Parkinson’s disease patients and could potentially be used for a number of neurological diseases. In this study, computational modeling was used to simulate the electrical activity of neurons being affected by the electrical field, to gain better understanding of the mechanisms of DBS. The spatial and temporal distribution of the electrical field was coupled to a cable model representing a human myelinated axon. A passing fiber with ends infinitely far away was simulated. Results show that excitation threshold is highly dependent on the diameter of the fiber and the influence (threshold-distance and threshold-diameter relations) can be controlled to some extent, using charge-balanced biphasic pulses.

Place, publisher, year, edition, pages
Institutionen för medicinsk teknik , 2007. , 69 p.
Keyword [en]
Deep, Brain, Stimulation, DBS, neural, response, pulse, biphasic
National Category
Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:liu:diva-9512ISRN: LiTH-IMT/BIT20-EX--07/449--SEOAI: oai:DiVA.org:liu-9512DiVA: diva2:23962
Presentation
2007-05-21, IMT3, IMT/LiU, IMT, LiU, Linköping, 13:15
Uppsok
teknik
Examiners
Available from: 2007-07-09 Created: 2007-07-09

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Department of Biomedical Engineering
Medical Laboratory and Measurements Technologies

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CiteExportLink to record
Permanent link

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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