Predictors of Response in Chronic Stroke

Completed · Not applicable

Conditions studied: Stroke, Brain Diseases, Central Nervous System Diseases, Nervous System Diseases, Cardiovascular Diseases

In brief

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).

Key facts

Study ID
NCT04283253
Run by
VA Pittsburgh Healthcare System
People needed
1
Starts
2019-10-22
Expected to finish
2020-03-31
Last updated by the study team
2022-03-03

Who can join

Age: 21 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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