Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments

Completed · Phase 1

Conditions studied: Cerebrovascular Accident, Hemiparesis, Hemiplegia

In brief

The complexity of sensorimotor control required for hand function as well as the wide range of recovery of manipulative abilities makes rehabilitation of the hand most challenging. The investigators past work has shown that training in a virtual environment (VE) using repetitive, adaptive algorithms has the potential to be an effective rehabilitation medium to facilitate motor recovery of hand function. These findings are in accordance with current neuroscience literature in animals and motor control literature in humans. The investigators are now in a position to refine and optimize elements of the training paradigms to enhance neuroplasticity. The investigators first aim tests if and how competition among body parts for neural representations stifles functional gains from different types of training regimens. The second aim tests the functional benefits of unilateral versus bilateral training regimens.The third aim tests whether functional improvements gained from training in a virtual environment transfer to other (untrained) skills in the real world.

Key facts

Study ID
NCT01072461
Run by
New Jersey Institute of Technology
People needed
55
Starts
2009-03-01
Expected to finish
2015-03-01
Last updated by the study team
2015-10-07

Who can join

Age: 18 and older, up to 80. 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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