Predictors of Response in Chronic Stroke
NCT04283253 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1
Last updated 2022-03-03
Summary
This study will validate a predictive model that uses demographics, functional status, neurophysiology, neuroanatomy, and other potential biomarkers to predict the likelihood of a clinically significant change in impairment at the end of a robot assisted therapy intervention.The study will include magnetic resonance imaging (MRI), transcranial magnetic stimulation (TMS), and an arm exercise program consisting of robot-assisted exercise combined with functional arm exercise called transition to task training (TTT).
Conditions
- Stroke
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Cardiovascular Diseases
Interventions
- DEVICE
-
Robot + TTT exercise
The intervention will be completed 36 visits approximately 3x/week for 12-18 weeks. The training progression will be sequential with 12 visits completed on the wrist robot, followed by 12 visits on the shoulder-elbow robot and completing with 12 visits alternating sessions on the wrist and shoulder-elbow robot. Participants will perform robot training for 45 minutes with each robot followed by 15 minutes of TTT practice to complete their 60 minute intervention session.
Sponsors & Collaborators
-
University of Pittsburgh
collaborator OTHER -
VA Pittsburgh Healthcare System
lead FED
Principal Investigators
-
George Wittenberg, PhD · University of Pittsburgh
Study Design
- Allocation
- NA
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 21 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-10-22
- Primary Completion
- 2020-03-31
- Completion
- 2020-03-31
- FDA Device
- Yes
Countries
- United States
Study Locations
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