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Online Mapping With the Deep Brain Stimulation Lead: A Novel Targeting Tool in Parkinson's Disease
Author(s) -
Milosevic Luka,
Scherer Maximilian,
Cebi Idil,
Guggenberger Robert,
Machetanz Kathrin,
Naros Georgios,
Weiss Daniel,
Gharabaghi Alireza
Publication year - 2020
Publication title -
movement disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.352
H-Index - 198
eISSN - 1531-8257
pISSN - 0885-3185
DOI - 10.1002/mds.28093
Subject(s) - deep brain stimulation , local field potential , subthalamic nucleus , parkinson's disease , stimulation , neuroscience , electrophysiology , beta rhythm , beta (programming language) , medicine , lead (geology) , nuclear medicine , psychology , electroencephalography , disease , computer science , biology , paleontology , programming language
Background Beta‐frequency oscillations (13–30 Hz) are a subthalamic hallmark in patients with Parkinson's disease, and there is increased interest in their utility as an intraoperative marker. Objectives The objectives of this study were to assess whether beta activity measured directly from macrocontacts of deep brain stimulation leads could be used (a) as an intraoperative electrophysiological approach for guiding lead placements and (b) for physiologically informed stimulation delivery. Methods Every millimeter along the surgical trajectory, local field‐potential data were collected from each macrocontact, and power spectral densities were calculated and visualized (n = 39 patients). This was done for online intraoperative functional mapping and post hoc statistical analyses using 2 methods: generating distributions of spectral activity along surgical trajectories and direct delineation (presence versus lack) of beta peaks. In a subset of patients, this approach was corroborated by microelectrode recordings. Furthermore, the match rate between beta peaks at the final target position and the clinically determined best stimulation site were assessed. Results Subthalamic recording sites were delineated by both methods of reconstructing functional topographies of spectral activity along surgical trajectories at the group level ( P < 0.0001). Beta peaks were detected when any portion of the 1.5 mm macrocontact was within the microelectrode‐defined subthalamic border. The highest beta peak at the final implantation site corresponded to the site of active stimulation in 73.3% of hemispheres ( P < 0.0001). In 93.3% of hemispheres, active stimulation corresponded to the first‐highest or second‐highest beta peak. Conclusions Online measures of beta activity with the deep brain stimulation macroelectrode can be used to inform surgical lead placement and contribute to optimization of stimulation programming procedures. © 2020 International Parkinson and Movement Disorder Society