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  • Atlas-Independent, Individualized Mapping of the Optimal Locus of Subthalamic DBS

    Final Number:
    103

    Authors:
    Erin Conrad; Kelvin Chou; Parag G. Patil MD, PhD

    Study Design:
    Clinical Trial

    Subject Category:
    Movement Disorders

    Meeting: 2016 ASSFN Biennial Meeting

    Introduction: The degree of symptomatic improvement among Parkinson’s disease (PD) patients undergoing subthalamic deep brain stimulation (STN DBS) is highly variable. One reason for this variability may be differences in the location of active electrode contacts relative to some currently undefined optimal locus of stimulation. Our objective was to determine this ideal location, based entirely on individual patient anatomy and independently of any atlas-based generalizations.

    Methods: We used a validated 3T MRI protocol and high-resolution CT imaging to precisely determine the location of individual DBS active contacts relative each patient STN. In 20 patients treated with STN DBS for Parkinson’s disease, we developed a computational electrical field model of neuronal activation weighted by Unified Parkinson’s Disease Rating Scale improvement. Our novel method allowed unconstrained identification of the locus of ideal stimulation across patients.

    Results: Based on both outcomes analysis and our electrophysiological model, the average location of the leads associated with greatest symptom improvement at the lowest voltage was in a region dorsal, just posterior, and just lateral to the anatomical midpoint of the subthalamic nucleus. Interestingly, more anterior leads were associated with significantly better outcomes than more posterior leads.

    Conclusions: Our results suggest that the optimal locus of stimulation in DBS for Parkinson’s disease is at the dorsal border just above the STN. They also suggest that it may be beneficial to place leads further anterior than is current practice.

    Patient Care: The research will improve care by allowing an individualized and atlas-independent approach to STN targeting.

    Learning Objectives: By the conclusion of this session participants should be able to 1) Describe the challenges and limitations of atlas-based targeting; 2) Describe a quantitative modeling method for determining optimal stimulation location

    References:

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