Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
8 participants
INTERVENTIONAL
2019-02-06
2023-12-21
Brief Summary
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Detailed Description
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To further leverage this ability to learn multiple things at once, the investigators have also studied how different forms of visual feedback about leg movements may best facilitate individuals to make meaningful changes to multiple features of the gait pattern. Specifically, they have studied two forms of visual feedback - 1) multidimensional, with multiple streams of information about leg movements, and 2) one-dimensional, which distills/summarizes multiple pieces of information about the gait pattern into a single source of feedback. They have shown that the one-dimensional summary feedback is more effective to help people learn a new gait pattern that requires changing multiple features of how they are walking. This work has focused on single training sessions in neurologically intact individuals, but the authors would like to study the effects of longer-term training with these different forms of feedback. Therefore, the purpose of this study is to gather preliminary data to inform the design of a clinical trial of gait training to treat walking deficits post-stroke. The investigators will gather data to determine whether training with different forms of visual feedback about leg movements are effective at improving gait patterns post-stroke - and which form of feedback may be more effective.
The investigators will study adults with cerebral damage due to stroke. Subjects with hemiparesis will undergo training 3 times a week for a total of 12 training session. These 12 sessions will be broken into 2 blocks of 6 sessions, with at least a 2 week break in between. In each block, training will occur with one form of visual (multi- or one-dimensional). Participants will complete training with both forms of feedback, the order of feedback forms will be randomly assigned. These studies will provide important new information about gait training with visual feedback in individuals post-stroke. This study is critical for developing procedural reliability processes, calculating effect sizes, and determining other salient clinical variables in preparation for a randomized clinical trial.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
TREATMENT
NONE
Study Groups
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Multichannel Visual Feedback
Gait training with visual feedback of joint kinematics. The visual feedback will contain information about the lower limb joint angles. We will instruct subjects to use the feedback to reach a target walking pattern. In this arm, subjects will receive 4 channels of visual information, each of which represents a joint angle (right and left hips, right and left knees).
Gait training with visual feedback of joint kinematics
Gait training will be accomplished using a Woodway treadmill. The visual feedback will contain information about the real-time lower-limb joint angles. We will instruct participants to use the feedback to reach a target walking pattern.
Single Channel Visual Feedback
Gait training with visual feedback of joint kinematics. The visual feedback will contain information about the lower limb joint angles. We will instruct subjects to use the feedback to reach a target walking pattern. In this arm, subjects will receive 1 channel of visual information that encompasses information from 4 lower limb joint angles (right and left hips, right and left knees).
Gait training with visual feedback of joint kinematics
Gait training will be accomplished using a Woodway treadmill. The visual feedback will contain information about the real-time lower-limb joint angles. We will instruct participants to use the feedback to reach a target walking pattern.
Interventions
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Gait training with visual feedback of joint kinematics
Gait training will be accomplished using a Woodway treadmill. The visual feedback will contain information about the real-time lower-limb joint angles. We will instruct participants to use the feedback to reach a target walking pattern.
Eligibility Criteria
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Inclusion Criteria
* able to walk but has a residual gait deficit (including those who walk with a cane or walker)
* Able to walk for 5 minutes at their self-paced speed
* Adults age 20-80
Exclusion Criteria
* Any neurologic condition other than stroke
* Uncontrolled diabetes
* Congestive heart failure
* Peripheral artery disease with claudication
* Pulmonary or renal failure
* Unstable angina
* Uncontrolled hypertension (\>190/110 mmHg)
* MoCA (Montreal Cognitive Assessment Test for Dementia) \< 23
* Severe aphasia
* Orthopedic or pain conditions that limit walking
* Pregnancy
20 Years
80 Years
ALL
No
Sponsors
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National Institutes of Health (NIH)
NIH
National Institute of Neurological Disorders and Stroke (NINDS)
NIH
Hugo W. Moser Research Institute at Kennedy Krieger, Inc.
OTHER
Responsible Party
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Amy J. Bastian, Ph.D.
Professor of Neuroscience
Principal Investigators
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Amy J Bastian, PhD, PT
Role: PRINCIPAL_INVESTIGATOR
Kennedy Krieger Institute and Johns Hopkins School of Medicine
Locations
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Motion Analysis Lab in the Kennedy Krieger Institute
Baltimore, Maryland, United States
Countries
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Other Identifiers
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IRB00097573
Identifier Type: -
Identifier Source: org_study_id
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