Directional local field potentials: a tool to optimize deep brain stimulation

Gerd Tinkhauser, Alek Pogosyan, Ines Debove, Andreas Nowacki, Syed Ahmar Shah, Kathleen Seidel, Huiling Tan, John-Stuart Brittain, Katrin Petermann, Lazzaro di Biase, Markus Oertel, Claudio Pollo, Peter Brown, Michael Schuepbach

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)
212 Downloads (Pure)

Abstract

Introduction: Although recently introduced directional deep brain stimulation leads provide control of the stimulation field, programing is time consuming. Here we validate local field potentials recorded from directional contacts as a predictor of the most efficient contacts for stimulation in patients with Parkinson’s disease. Methods: Intraoperative local field potentials were recorded from directional contacts in the subthalamic nucleus of 12 patients and beta activity compared with the results of the clinical contact review performed after 4-7 months. Results: Normalized beta activity was positively correlated with the contact’s clinical efficacy. The two contacts with the highest beta activity included the most efficient stimulation contact in up to 92 % and that with the widest therapeutic window in 74% of cases. Conclusion: Local field potentials predict the most efficient stimulation contacts and may provide a useful tool to expedite the selection of the optimal contact for directional deep brain stimulation.
Original languageEnglish
Pages (from-to)159–164
Number of pages15
JournalMovement Disorders
Volume33
Issue number1
Early online date18 Nov 2017
DOIs
Publication statusPublished - Jan 2018

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