Parkinson Disease Clinical Trial
Official title:
Computational Modeling of 60 Hz Subthalamic Nucleus Deep Brain Stimulation for Gait Disorder in Parkinson's Disease
Verified date | February 2024 |
Source | Northwell Health |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The objective of this study is to further the understanding and application of 60Hz subthalamic deep brain stimulation (STN-DBS) in Parkinson's patients with gait disorder. The investigators will achieve this through 2 study aims: 1. Determine the impact of 60Hz subthalamic deep brain stimulation on gait kinematics using wearable sensors 2. Develop machine learning models to predict optimal subthalamic deep brain stimulation frequency based on wearable sensors
Status | Completed |
Enrollment | 24 |
Est. completion date | August 31, 2022 |
Est. primary completion date | August 31, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 21 Years to 80 Years |
Eligibility | Inclusion Criteria: 1. Male or female, aged 21-80 2. Patients diagnosed with Parkinson's disease (PD) 3. PD subjects who have bilateral STN-DBS (greater than 3 months) or in the preoperative stage of being implanted with bilateral STN-DBS 4. Have underlying gait disorder 5. Currently treated with oral levodopa therapy 6. Willingness to comply with all study procedures Exclusion Criteria: 1. Cognitive deficits based on historical record that limit participant compliance with study protocol 2. Vestibular disorder or musculoskeletal problems affecting gait or balance |
Country | Name | City | State |
---|---|---|---|
United States | Northwell Health | Great Neck | New York |
Lead Sponsor | Collaborator |
---|---|
Northwell Health | National Institute of Neurological Disorders and Stroke (NINDS), The University of Tennessee, Knoxville |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Gait Kinematic Response for 180 and 60Hz DBS | The measurements of interest were captured during the instrumented walk. Interaction of DBS Frequency and Levodopa on gait kinematics was assessed using LM-ANOVA. | 1-2 minute period with each stimulation condition in the Medicated and Unmedicated states. | |
Primary | Accuracy of Discriminating STN-DBS (60hz vs. High Frequency) and Medication States With Machine Learning(ML) | We apply ML techniques to a data set of gait kinematics acquired from instrumented walking assessments and utilize random forest ML algorithms to identify participants' stimulation frequency/medication condition. | 2 years | |
Secondary | Change in Hand Tremor Severity for 180 and 60Hz DBS | The difference in tremor (e.g. rest, postural) severity will be measured with the kinesia sensor for each DBS electrode stimulation pair (60hz or High Frequency) in both the medicated and unmedicated states on a severity scale from 0-4. Higher number = worse outcome | 1 minute test session for each stimulation condition | |
Secondary | Change in Speed of Limb Movements for 180 and 60Hz DBS | The difference in the speed of limb movements (e.g. hand grasps and leg lifts) will be measured with the kinesia sensor for each DBS electrode stimulation pair (60hz or High Frequency) in both the medicated and unmedicated states on a severity scale of 0-4. Higher values = worse outcome. | 1 minute test session for each stimulation condition |
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