Journal
BRAIN STIMULATION
Volume 12, Issue 4, Pages 868-876Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.brs.2019.02.020
Keywords
Closed loop; Deep brain stimulation; Bradykinesia; Tremor; Parkinson's disease; Human
Categories
Funding
- Michael J. Fox Foundation [9605]
- Robert and Ruth Halperin Foundation
- John A. Blume Foundation
- Helen M. Cahill Award for Research in Parkinson's disease
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Background: Closed loop deep brain stimulation (clDBS) in Parkinson's disease (PD) using subthalamic (STN) neural feedback has been shown to be efficacious only in the acute post-operative setting, using externalized leads and stimulators. Objective: To determine feasibility of neural (N)clDBS using the clinical implanted neurostimulator (Activa (TM) PC + S, FDA IDE approved) and a novel beta dual threshold algorithm in tremor and bradykinesia dominant PD patients on chronic DBS. Methods: 13 PD subjects (20 STNS), on open loop (ol)DBS for 22 +/- 7.8 months, consented to NclDBS driven by beta (13-30 Hz) power using a dual threshold algorithm, based on patient specific therapeutic voltage windows. Tremor was assessed continuously, and bradykinesia was evaluated after 20 min of NclDBS using a repetitive wrist flexion-extension task (rWFE). Total electrical energy delivered (TEED) on NclDBS was compared to olDBS using the same active electrode. Results: NclDBS was tolerated for 21.67 [21.10-26.15] minutes; no subject stopped early. Resting beta band power was measurable and similar between tremor and bradykinesia dominant patients. NclDBS improved bradykinesia and tremor while delivering only 56.86% of the TEED of olDBS; rWFE velocity (p = 0.003) and frequency (p <0.001) increased; tremor was below 0.15 rad/sec for 95.4% of the trial and averaged 0.26 rad/sec when present. Conclusion: This is the first study to demonstrate that STN NclDBS is feasible, efficacious and more efficient than olDBS in tremor and bradykinesia dominant PD patients, on long-term DBS, using an implanted clinical neurostimulator and driven by beta power with a novel dual threshold algorithm, based on customized therapeutic voltage windows. (C) 2019 Published by Elsevier Inc.
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