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

Stereotact Funct Neurosurg. 2010;88(1):16-23. doi: 10.1159/000260075. Epub 2009 Nov 20.

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.

MeSH terms

  • Aged
  • Algorithms
  • Brain Mapping / methods*
  • Deep Brain Stimulation / adverse effects
  • Deep Brain Stimulation / methods*
  • Electrodes, Implanted
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Neurological
  • Parkinson Disease / physiopathology*
  • Parkinson Disease / surgery
  • Subthalamic Nucleus / physiopathology*
  • Subthalamic Nucleus / surgery