Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments

2014-08-27 03:15:47 | BioPortfolio


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.

Study Design

Allocation: Randomized, Control: Active Control, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Double Blind (Subject, Outcomes Assessor), Primary Purpose: Treatment


Cerebrovascular Accident


HAS Training, HAT training, Bimanual Training


New Jersey Institute of Technology
New Jersey
United States




New Jersey Institute of Technology

Results (where available)

View Results


Published on BioPortfolio: 2014-08-27T03:15:47-0400

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