Computational Modeling of 60 Hz Subthalamic Nucleus Deep Brain Stimulation for Gait Disorder in Parkinson's Disease
2 other identifiers
interventional
24
1 country
1
Brief Summary
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
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable parkinson-disease
Started Jan 2020
Typical duration for not_applicable parkinson-disease
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 22, 2019
CompletedFirst Posted
Study publicly available on registry
December 4, 2019
CompletedStudy Start
First participant enrolled
January 15, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2022
CompletedResults Posted
Study results publicly available
March 15, 2024
CompletedMarch 15, 2024
February 1, 2024
2.6 years
November 22, 2019
August 24, 2023
February 14, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
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.
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 Outcomes (2)
Change in Hand Tremor Severity for 180 and 60Hz DBS
1 minute test session for each stimulation condition
Change in Speed of Limb Movements for 180 and 60Hz DBS
1 minute test session for each stimulation condition
Study Arms (2)
Deep Brain Stimulation(DBS) OFF Medication
EXPERIMENTALSubthalamic-DBS in the Levodopa OFF state.
Deep Brain Stimulation(DBS) ON Medication
EXPERIMENTALSubthalamic-DBS in the Levodopa ON state.
Interventions
Each DBS electrode contact will be reprogrammed in 60hz and High Frequency Stimulation (180hz) in the Levodopa ON (medicated) and OFF (unmedicated) conditions.
Eligibility Criteria
You may qualify if:
- Male or female, aged 21-80
- Patients diagnosed with Parkinson's disease (PD)
- PD subjects who have bilateral STN-DBS (greater than 3 months) or in the preoperative stage of being implanted with bilateral STN-DBS
- Have underlying gait disorder
- Currently treated with oral levodopa therapy
- Willingness to comply with all study procedures
You may not qualify if:
- Cognitive deficits based on historical record that limit participant compliance with study protocol
- Vestibular disorder or musculoskeletal problems affecting gait or balance
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Northwell Health
Great Neck, New York, 11021, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Ritesh Ramdhani
- Organization
- Feinstein Institute for Medical Research at Northwell
Study Officials
- PRINCIPAL INVESTIGATOR
Ritesh Ramdhani, MD
Northwell Health
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor of Neurology
Study Record Dates
First Submitted
November 22, 2019
First Posted
December 4, 2019
Study Start
January 15, 2020
Primary Completion
August 31, 2022
Study Completion
August 31, 2022
Last Updated
March 15, 2024
Results First Posted
March 15, 2024
Record last verified: 2024-02
Data Sharing
- IPD Sharing
- Will not share