Skip to main navigation Skip to search Skip to main content

Computational study for stimulating mechanism and the optimal geometry of microelectrode in deep-brain stimulation

  • Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Deep brain stimulation has obtained an obvious effectiveness for treating various locomotion disorder, but the stimulating mechanism by which these high frequency electrical pulses related to the geometry of electrode act on neuronal activity is unclear. The geometrical electrode model in deep-brain stimulation is established, and the analytic model of electric stimulating area based on the finite element technique is constructed to research electrode geometry, such as the stimulating point array architecture, how to affect the cerebral electric field. The computational results show that the stimulation intensity and action area increase gradually with the growth for the length and the gap of the electrode stimulating point; the stimulating stability approaches the when the length of stimulating point gets twice the length of the gap between the stimulating points. Therefore, the mode of the stimulating point array architecture enables to determine the electrode stimulating location in the deep brain, and plays an important role of the stimulation intensity and action area.

Original languageEnglish
Pages (from-to)1537-1540
Number of pages4
JournalHsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
Volume42
Issue number12
StatePublished - Dec 2008

Keywords

  • Deep-brain stimulation
  • Electrode
  • Simulation analysis
  • Structure optimization

Fingerprint

Dive into the research topics of 'Computational study for stimulating mechanism and the optimal geometry of microelectrode in deep-brain stimulation'. Together they form a unique fingerprint.

Cite this