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Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments

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

Summary

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

Conditions

Cerebrovascular Accident

Intervention

HAS Training, HAT training, Bimanual Training

Location

New Jersey Institute of Technology
Newark
New Jersey
United States
07102

Status

Recruiting

Source

New Jersey Institute of Technology

Results (where available)

View Results

Links

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

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Medical and Biotech [MESH] Definitions

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