Directional stimulation of subthalamic nucleus sweet spot predicts clinical efficacy: Proof of concept

Directional deep brain stimulation (dDBS) of the subthalamic nucleus for Parkinson's disease (PD) increases the therapeutic window. However, empirical programming of the neurostimulator becomes more complex given the increasing number of stimulation parameters. A better understanding of dDBS is...

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Veröffentlicht in:Brain stimulation 2019-09, Vol.12 (5), p.1127-1134
Hauptverfasser: Nguyen, T.A. Khoa, Nowacki, Andreas, Debove, Ines, Petermann, Katrin, Tinkhauser, Gerd, Wiest, Roland, Schüpbach, Michael, Krack, Paul, Pollo, Claudio
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container_end_page 1134
container_issue 5
container_start_page 1127
container_title Brain stimulation
container_volume 12
creator Nguyen, T.A. Khoa
Nowacki, Andreas
Debove, Ines
Petermann, Katrin
Tinkhauser, Gerd
Wiest, Roland
Schüpbach, Michael
Krack, Paul
Pollo, Claudio
description Directional deep brain stimulation (dDBS) of the subthalamic nucleus for Parkinson's disease (PD) increases the therapeutic window. However, empirical programming of the neurostimulator becomes more complex given the increasing number of stimulation parameters. A better understanding of dDBS is needed to improve therapy and help guide postoperative programming. To determine whether clinical effects of dDBS can be predicted in individual patients based on lead location and volume of tissue activated (VTA) modelling. We analysed a prospective series of 28 PD patients. Imaging analysis and systematic clinical testing performed 4–6 months postoperatively yielded location, clinical efficacy and corresponding therapeutic windows for 272 directional contacts. We calculated the corresponding VTAs to build a probabilistic stimulation map using voxel-wise statistical analysis. We found a positive and statistically significant correlation between the overlap ratio of a patient's individual stimulation volume and the probabilistic map's sweet spot –defined as the 10% voxels with the highest clinical efficacy values (average Spearman's rho = 0.43, average p ≤ 0.036). Patients who had a larger therapeutic window with directional compared to omnidirectional stimulation had a larger distance between the electrode and the sweet spot centroid (average distances 2.3 vs. 1.5 mm, p = 0.0019). Our analysis provides new insights into how the definition of a probabilistic sweet spot based on directional stimulation data and individual VTA modelling can be applied to predict clinically effective directional stimulation and help guide clinicians with the intricate postoperative DBS programming. •The probabilistic sweet spot for directional stimulation projected onto the dorsolateral STN.•Overlap ratio of individual stimulation volume and sweet spot correlated with clinical efficacy.•Overlap ratio and distance to the sweet spot were indicators of efficient directional stimulation.
doi_str_mv 10.1016/j.brs.2019.05.001
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Patients who had a larger therapeutic window with directional compared to omnidirectional stimulation had a larger distance between the electrode and the sweet spot centroid (average distances 2.3 vs. 1.5 mm, p = 0.0019). 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Patients who had a larger therapeutic window with directional compared to omnidirectional stimulation had a larger distance between the electrode and the sweet spot centroid (average distances 2.3 vs. 1.5 mm, p = 0.0019). 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subjects Aged
Algorithms
Brain Mapping - methods
Deep brain stimulation
Deep Brain Stimulation - methods
Directional electrode
Female
Humans
Male
Middle Aged
Parkinson Disease - therapy
Parkinson's disease
Predictive Value of Tests
Probabilistic stimulation map
Proof of Concept Study
Prospective Studies
Subthalamic Nucleus - physiology
Treatment Outcome
Volume of tissue activated
title Directional stimulation of subthalamic nucleus sweet spot predicts clinical efficacy: Proof of concept
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