Retraining the Walking Pattern After Stroke
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Hemiparesis
- Stroke
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Crossover AssignmentIntervention Model Description: treadmill with multi-dimensional and one-dimensional feedbackMasking: None (Open Label)Primary Purpose: Treatment
Participation Requirements
- Age
- Between 20 years and 80 years
- Gender
- Both males and females
Description
Stroke often results in functional gait deficits and abnormal gait patterns. Typically, several features of gait are altered (e.g. knee joint movement decreases and step lengths are asymmetric). Data show that walking patterns after neurologic injury can be changed through gait training, but traditi...
Stroke often results in functional gait deficits and abnormal gait patterns. Typically, several features of gait are altered (e.g. knee joint movement decreases and step lengths are asymmetric). Data show that walking patterns after neurologic injury can be changed through gait training, but traditional rehabilitation approaches typically focus on changing one feature of gait at a time. However, the investigators have recently shown that in a single session individuals post-stroke are able to learn to change multiple components of this impaired gait pattern at the same time. 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.
Tracking Information
- NCT #
- NCT03813342
- Collaborators
- National Institutes of Health (NIH)
- National Institute of Neurological Disorders and Stroke (NINDS)
- Investigators
- Principal Investigator: Amy J Bastian, PhD, PT Kennedy Krieger Institute and Johns Hopkins School of Medicine