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Updated: Jun 18, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Construction of relational topographies from the quantitative measurements of functional deep brain stimulation using
Mahesh B Shenai1, Harrison Walker, Stephanie Guthrie
1Division of Neurosurgery, The University of Alabama at Birmingham, Birmingham, AL 35294-3410, USA.
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.

