Construction of relational topographies from the quantitative measurements of functional deep brain stimulation using a 'roving window' interpolation algorithm.
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.
Shenai
Mahesh B
MB
Division of Neurosurgery, The University of Alabama at Birmingham, Birmingham, AL 35294-3410, USA.
Walker
Harrison
H
Guthrie
Stephanie
S
Watts
Ray
R
Guthrie
Barton L
BL
D000368:Aged; D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D046690:Deep Brain Stimulation / Q000009:adverse effects / Q000379:methods*; D004567:Electrodes, Implanted; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological; D010300:Parkinson Disease / Q000503:physiopathology* / Q000601:surgery; D020531:Subthalamic Nucleus / Q000503:physiopathology* / Q000601:surgery