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High efficiency electrodes for deep brain stimulation.

Publication ,  Journal Article
Grill, WM; Wei, XF
Published in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
January 2009

Deep brain stimulators are powered with primary cell batteries and require surgical replacement when they are depleted. We sought to decrease power consumption, and thereby increase device lifetime by increasing neuronal stimulating efficiency with novel electrode designs. Our hypothesis was that high-perimeter electrodes that increase the variation of current density on their surface would generate larger activating functions for surrounding neurons, hence increasing stimulation efficiency. We implemented finite element models of cylindrical DBS electrodes with conventional circular perimeters, with serpentine perimeters, and with segmented contacts. The high-perimeter electrodes significantly increased the variation of current density on the electrode surface. We randomly positioned a population of 100 model axons around the electrodes and quantified neural activation with 100 micros cathodic stimuli. Input-output curves of percentage axons activated as a function of stimulation intensity indicated that the novel electrode geometries decreased power consumption by up to approximately 20% for axons parallel to the electrode and up to approximately 35% for axons perpendicular to the electrode. Reduced power consumption achieved with these designs will reduce the costs and risks associated with surgeries to replace depleted stimulators.

Duke Scholars

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

January 2009

Volume

2009

Start / End Page

3298 / 3301

Related Subject Headings

  • Neurons
  • Myelin Sheath
  • Humans
  • Finite Element Analysis
  • Equipment Design
  • Electrophysiology
  • Electrodes, Implanted
  • Electrodes
  • Deep Brain Stimulation
  • Computer Simulation
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Grill, W. M., & Wei, X. F. (2009). High efficiency electrodes for deep brain stimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2009, 3298–3301. https://doi.org/10.1109/iembs.2009.5333774
Grill, Warren M., and Xuefeng F. Wei. “High efficiency electrodes for deep brain stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2009 (January 2009): 3298–3301. https://doi.org/10.1109/iembs.2009.5333774.
Grill WM, Wei XF. High efficiency electrodes for deep brain stimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2009 Jan;2009:3298–301.
Grill, Warren M., and Xuefeng F. Wei. “High efficiency electrodes for deep brain stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2009, Jan. 2009, pp. 3298–301. Epmc, doi:10.1109/iembs.2009.5333774.
Grill WM, Wei XF. High efficiency electrodes for deep brain stimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2009 Jan;2009:3298–3301.

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

January 2009

Volume

2009

Start / End Page

3298 / 3301

Related Subject Headings

  • Neurons
  • Myelin Sheath
  • Humans
  • Finite Element Analysis
  • Equipment Design
  • Electrophysiology
  • Electrodes, Implanted
  • Electrodes
  • Deep Brain Stimulation
  • Computer Simulation