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Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments

NCT01072461 · Status: COMPLETED · Phase: PHASE1 · Type: INTERVENTIONAL · Enrollment: 55

Last updated 2015-10-07

No results posted yet for this study

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.

Conditions

  • Cerebrovascular Accident
  • Hemiparesis
  • Hemiplegia

Interventions

BEHAVIORAL

HAS Training

Robotically measured and facilitated training of the hemiparetic hand and arm in isolation, in a three dimensional haptically rendered virtual environment.

BEHAVIORAL

HAT training

Robotically measured and facilitated training of the hemiparetic hand and arm as an integrated functional unit, in a three dimensional haptically rendered virtual environment

BEHAVIORAL

Bimanual Training

Robotically measured and facilitated training of the hemiparetic hand and non-hemiparetic hand together, in a three dimensional haptically rendered virtual environment

Sponsors & Collaborators

  • Rutgers, The State University of New Jersey

    collaborator OTHER

  • New Jersey Institute of Technology

    lead OTHER

Principal Investigators

  • Sergei V. Adamovich, PhD · New Jersey Institute of Technology

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2009-03-31
Primary Completion
2013-03-31
Completion
2015-03-31

Countries

  • United States

Study Locations

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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 NCT01072461 on ClinicalTrials.gov