Construction of Relational Topographies from the Quantitative Measurements of Functional Deep Brain Stimulation Using a ‘Roving Window’ Interpolation AlgorithmShenai M.B.a · Walker H.b · Guthrie S.b · Watts R.b · Guthrie B.L.a
aDivision of Neurosurgery and bDepartment of Neurology, The University of Alabama at Birmingham, Birmingham, Ala., USA
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Article / Publication Details
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.
© 2009 S. Karger AG, Basel
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