Predictors of Response in Chronic Stroke

NCT04283253 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1

Last updated 2022-03-03

Study results available
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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

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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Entities

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 NCT04283253 on ClinicalTrials.gov