Construction of relational topographies from the quantitative measurements of functional deep brain stimulation using a 'roving window' interpolation algorithm

Academic Article

Abstract

  • The delivery of stimulus by a deep brain stimulation (DBS) contact electrode at a particular location may lead to a quantifiable physiologic effect, both intraoperatively and postoperatively. Consequently, measured data values can be attributed to discrete scattered points in neuroanatomic space, allowing for interpolative techniques to generate a topographic map of spatial patterns. Ultimately, by relating the topographies of various intraoperative measurements to the postoperative counterparts and neuroanatomic atlases, outcome-guided adjustments to electrode position can be pursued intraoperatively. In this study, 52 Parkinson's disease patients were tested with a postoperative trial of stimulation and thresholds were recorded for motor adverse effects. A 'roving window' interpolation algorithm was adapted to generate a topographic map of voltage threshold along selected axial, coronal and sagittal planes. By developing these relational topographies for a variety of intraoperative and postoperative effects, a multivariable approach towards DBS optimization emerges. Copyright © 2009 S. Karger AG, Basel.
  • Digital Object Identifier (doi)

    Pubmed Id

  • 2111162
  • Author List

  • Shenai MB; Walker H; Guthrie S; Watts R; Guthrie BL
  • Start Page

  • 16
  • End Page

  • 23
  • Volume

  • 88
  • Issue

  • 1