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Multi-limb Dual-task Control in Parkinson's Disease

NCT03662009 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 60

Last updated 2022-02-07

No results posted yet for this study

Summary

People with Parkinson disease commonly experience difficulty driving, which requires the arms and legs to do different tasks simultaneously. Driving difficulties can lead to isolation, depression, loss of independence and mobility, and increased incidence of car accidents. Through understanding the impact of Parkinson disease on mechanisms underlying attention and multi-limb control, training and rehabilitation programs can better focus on the needs of drivers with Parkinson disease. The proposed study aims to address this need by taking measures of simulated driving at one point in time. Subjects with PD are tested at a single time point when they are at their "best" point in their day and on another day when they are at their worst and are about to take their next dose of medication. Healthy age-matched subjects are not taking anti-parkinson medication so are tested at only one point.

Conditions

  • Parkinson Disease

Interventions

OTHER

multilimb dual task

control of arm and foot in two attentional contexts of simulated driving

Sponsors & Collaborators

  • National Institute of Neurological Disorders and Stroke (NINDS)

    collaborator NIH

  • University of Idaho

    collaborator OTHER

  • Mayo Clinic

    collaborator OTHER

  • A.T. Still University of Health Sciences

    lead OTHER

Principal Investigators

  • Tara L McIsaac, PhD, PT · A.T. Still University

Eligibility

Min Age
21 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2017-09-01
Primary Completion
2020-11-30
Completion
2020-11-30

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03662009 on ClinicalTrials.gov