For millions of people with disabilities after stroke, current physical therapy treatment often cannot induce long lasting improvements in arm and hand control. Recent studies show that intensive, repeated practice may be necessary to induce significant treatment effects. However, current service delivery models cannot provide the necessary intensity of practice. One technique that may overcome these limitations is VR. A computerized VR-based system for rehabilitation of hand motor functions has been recently developed. The system creates an interactive, motivating environment where intensity of practice and feedback can be manipulated to create individualized treatment sessions. However, it is presently not clear how this VR training affects finger coordination in real world movements. Moreover, the basics of finger coordination deficits in hemiplegia are poorly understood. The investigators propose a small grant project to obtain preliminary data on the ability of the VR system to induce improvements in the quality of hand motion and finger coordination in functional natural movements. The data collection will be performed before and after four weeks of rehabilitation therapy. Through well-established sophisticated quantitative analyses of finger and hand motion, they will analyze the kinematics of five-finger precision prehension of the hemiparetic arm in chronic post-stroke patients. Subjects will be asked to grasp objects of different sizes, shapes and weights, both stationary and moving.
Specific Aim 1 of the study will be to identify deficits in finger kinematics and interjoint coordination prior to training. A main focus will be on the evolution of hand preshaping during movement and its interaction with more proximal degrees of freedom including motion of the trunk.
Specific Aim 2 will be to obtain new knowledge of principles of transfer/generalization of VR training to functional real-world movements including grasping. The study will be geared towards obtaining pilot data that will be used to generate an R01 grant application for a more intensive analysis of the topic.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Small Research Grants (R03)
Project #
7R03HD042161-02
Application #
6880236
Study Section
Pediatrics Subcommittee (CHHD)
Program Officer
Ansel, Beth
Project Start
2003-03-01
Project End
2006-02-28
Budget Start
2004-03-01
Budget End
2006-02-28
Support Year
2
Fiscal Year
2004
Total Cost
$70,543
Indirect Cost
Name
Rutgers University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
075162990
City
Newark
State
NJ
Country
United States
Zip Code
07102
Merians, Alma S; Fluet, Gerard; Tunik, Eugene et al. (2014) Movement rehabilitation in virtual reality from then to now: how are we doing? Int J Disabil Hum Dev 13:311-317
Adamovich, Sergei V; Fluet, Gerard G; Merians, Alma S et al. (2009) Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity. IEEE Trans Neural Syst Rehabil Eng 17:512-20
Adamovich, Sergei V; Fluet, Gerard G; Mathai, Abraham et al. (2009) Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study. J Neuroeng Rehabil 6:28
Adamovich, S V; August, K; Merians, A et al. (2009) A virtual reality-based system integrated with fmri to study neural mechanisms of action observation-execution: a proof of concept study. Restor Neurol Neurosci 27:209-23
Merians, Alma S; Poizner, Howard; Boian, Rares et al. (2006) Sensorimotor training in a virtual reality environment: does it improve functional recovery poststroke? Neurorehabil Neural Repair 20:252-67
August, Katherine; Lewis, Jeffrey A; Chandar, Gayathri et al. (2006) FMRI analysis of neural mechanisms underlying rehabilitation in virtual reality: activating secondary motor areas. Conf Proc IEEE Eng Med Biol Soc 1:3692-5
Deutsch, Judith E; Merians, Alma S; Adamovich, Serge et al. (2004) Development and application of virtual reality technology to improve hand use and gait of individuals post-stroke. Restor Neurol Neurosci 22:371-86
Tunik, Eugene; Adamovich, Sergei V; Poizner, Howard et al. (2004) Deficits in rapid adjustments of movements according to task constraints in Parkinson's disease. Mov Disord 19:897-906