The clinical utility of deep brain stimulation (DBS) for the treatment of movement disorders such as Parkinson's disease has been well established; however, there is a great disparity in outcomes among DBS recipients due to varied postoperative management, particularly concerning the choosing of an optimal set of programming parameters from the thousands of possible combinations. This study will evaluate the use of motion sensor based assessments to develop a functional map and algorithms to automatically determine a set of programming parameters that maximize symptomatic benefits while minimizing side effects and battery consumption.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
7
Prototype DBS-Expert software will be used to guide a clinician through DBS programming.
University of Cincinnati Department of Neurology
Cincinnati, Ohio, United States
Percent Change From Baseline in Kinesia HomeView Symptom Ratings After Guided DBS Programming
Symptoms were first assessed with the implanted pulse generator (IPG) turned off for at least 30 minutes to allow the after-effects of stimulation to wear off (baseline). Symptoms were measured again with the IPG turned on at a setting that both minimized the average severity of tremor and bradykinesia and minimized side effects. The Kinesia score rated symptom severity (0, normal; 4, most severe) in four categories: tremor, finger tapping speed, finger tapping amplitude, and finger tapping rhythm. Scores for the four motor symptoms were averaged and converted to percent change from baseline.
Time frame: Within two days of standard clinical DBS programming session
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