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Online Motor Control in People With Parkinson's Disease

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ClinicalTrials.gov Identifier: NCT04616508
Recruitment Status : Recruiting
First Posted : November 5, 2020
Last Update Posted : November 5, 2020
Sponsor:
Collaborator:
National Institutes of Health (NIH)
Information provided by (Responsible Party):
University of Delaware

Study Description
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Brief Summary:
This study aims to better understand how people with Parkinson's control reaching movements. Specifically, we are asking how these individuals respond to different environmental perturbations. Testing includes reaching movements made within a virtual reality set-up.

Condition or disease Intervention/treatment Phase
Motor Control Parkinson Disease Behavioral: motor control assessment Not Applicable

Detailed Description:
Parkinson's disease (PD) is the second most common neurodegenerative disease, affecting approximately up to 10 million people worldwide and with 60,000 new cases diagnosed annually in the U.S. alone. Some of the most common signs and symptoms in individuals with PD are slowed and small movements and difficulty in movement initiation. The ability to correct movements online in response to environmental changes is an important part of daily living. Online movement corrections in reaching refer to the ability to smoothly change how and where you reach in response to a change in the environment. For example, one can adjust the position of the hand and arm when trying to catch a butterfly flying in the air. Generally speaking, online movement corrections can happen in response to visual perturbations (e.g., trying to catch a butterfly) or to force perturbations (e.g., someone knocks your hand while you're holding a coffee mug). Since individuals with PD have trouble with movements, it stands to reason that they may have problems with online movement corrections. Surprisingly, very little is known about online movement corrections in individuals with PD. The current evidence suggests that individuals with PD can make online movement corrections to small visual perturbations, but whether they can successfully respond to large visual perturbations is debatable. Furthermore, whether individuals with PD can make online movement corrections to force perturbations has not been studied. The aim of this project is to investigate if individuals with PD can make online movement corrections during reaching to visual and/or force perturbations. We will test both individuals with PD and age-matched healthy controls. They will perform reaching movements while visual or force perturbations are applied. We will use various perturbation strengths in order to test for potential differences in responses to small and large perturbations. Results from this study will provide new information on how individuals with PD make online movement corrections, and possibly provide insight to improving rehabilitation for PD.
Study Design
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Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 100 participants
Allocation: N/A
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Basic Science
Official Title: Online Motor Control in People With Parkinson's Disease
Actual Study Start Date : December 12, 2018
Estimated Primary Completion Date : December 12, 2024
Estimated Study Completion Date : December 12, 2026

Resource links provided by the National Library of Medicine


Arms and Interventions
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Arm Intervention/treatment
Experimental: Behavioral testing Behavioral: motor control assessment
Basic science study of control of reaching movements


Outcome Measures
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Primary Outcome Measures :
  1. End-point errors [ Time Frame: during intervention ]
    Euclidean distance from target to final hand position (units: cm); measurement derived from position data sampled at 1000 Hz

  2. Reaction times [ Time Frame: during intervention ]
    Time from visual target presentation to movement onset (units: ms); measurement derived from position data sampled at 1000 Hz

  3. Movement times [ Time Frame: during intervention ]
    Time from movement onset to movement end (units: ms); measurement derived from position data sampled at 1000 Hz


Eligibility Criteria
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Ages Eligible for Study:   18 Years to 85 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Criteria

Inclusion criteria (all participants):

  • Age 18-85 years
  • Able to perform reaching movements of ~20 cm (8 inches)
  • MMSE score ≥ 26/30
  • Willing and able to attend all testing sessions

Inclusion criteria (PD group only):

  • Diagnosis of idiopathic Parkinson's disease per self report
  • Currently taking dopaminergic/dopamine agonist medication

Exclusion criteria (all participants):

  • Any chronic or recent upper extremity musculoskeletal conditions that affects reaching
  • Any neurological disorders other than Parkinson's disease (e.g., seizure disorders, closed head injuries with loss of consciousness greater than 15 minutes, CNS neoplasm, history of stroke)
Contacts and Locations
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Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04616508


Contacts
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Contact: Hyosub Kim, PhD 302-831-4263 hyosub@udel.edu

Locations
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United States, Delaware
University of Delaware Recruiting
Newark, Delaware, United States, 19713
Contact: Joie Tang         
Principal Investigator: Hyosub Kim, PhD         
Sponsors and Collaborators
University of Delaware
National Institutes of Health (NIH)
Investigators
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Principal Investigator: Hyosub Kim, PhD University of Delaware
More Information
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Responsible Party: University of Delaware
ClinicalTrials.gov Identifier: NCT04616508    
Other Study ID Numbers: 1358328-5
First Posted: November 5, 2020    Key Record Dates
Last Update Posted: November 5, 2020
Last Verified: October 2020

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by University of Delaware:
motor control
Parkinson disease
motor learning
Additional relevant MeSH terms:
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Parkinson Disease
Parkinsonian Disorders
Basal Ganglia Diseases
Brain Diseases
 Central Nervous System Diseases
Nervous System Diseases
Movement Disorders
Neurodegenerative Diseases