Literature DB >> 16679503

Sensorimotor training in a virtual reality environment: does it improve functional recovery poststroke?

Alma S Merians1, Howard Poizner, Rares Boian, Grigore Burdea, Sergei Adamovich.   

Abstract

OBJECTIVE: To investigate the effectiveness of computerized virtual reality (VR) training of the hemiparetic hand of patients poststroke using a system that provides repetitive motor reeducation and skill reacquisition.
METHODS: Eight subjects in the chronic phase poststroke participated in a 3-week program using their hemiparetic hand in a series of interactive computer games for 13 days of training, weekend breaks, and pretests and posttests. Each subject trained for about 2 to 2.5 h per day. Outcome measures consisted of changes in the computerized measures of thumb and finger range of motion, thumb and finger velocity, fractionation (the ability to move fingers independently), thumb and finger strength, the Jebsen Test of Hand Function, and a Kinematic reach to grasp test.
RESULTS: Subjects as a group improved in fractionation of the fingers, thumb and finger range of motion, and thumb and finger speed, retaining those gains at the 1-week retention test. Transfer of these improvements was demonstrated through changes in the Jebsen Test of Hand Function and a decrease after the therapy in the overall time from hand peak velocity to the moment when an object was lifted from the table.
CONCLUSIONS: It is difficult in current service delivery models to provide the intensity of practice that appears to be needed to effect neural reorganization and functional changes poststroke. Computerized exercise systems may be a way to maximize both the patients' and the clinicians' time. The data in this study add support to the proposal to explore novel technologies for incorporation into current practice.

Entities:  

Mesh:

Year:  2006        PMID: 16679503     DOI: 10.1177/1545968306286914

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  45 in total

Review 1.  Virtual reality in neuroscience research and therapy.

Authors:  Corey J Bohil; Bradly Alicea; Frank A Biocca
Journal:  Nat Rev Neurosci       Date:  2011-11-03       Impact factor: 34.870

2.  Use of virtual reality technique for the training of motor control in the elderly. Some theoretical considerations.

Authors:  E D de Bruin; D Schoene; G Pichierri; S T Smith
Journal:  Z Gerontol Geriatr       Date:  2010-08       Impact factor: 1.281

3.  Autonomous Use of the Home Virtual Rehabilitation System: A Feasibility and Pilot Study.

Authors:  Gerard G Fluet; Qinyin Qiu; Jigna Patel; Amanda Cronce; Alma S Merians; Sergei V Adamovich
Journal:  Games Health J       Date:  2019-12

4.  Improving hand function in stroke survivors: a pilot study of contralaterally controlled functional electric stimulation in chronic hemiplegia.

Authors:  Jayme S Knutson; Mary Y Harley; Terri Z Hisel; John Chae
Journal:  Arch Phys Med Rehabil       Date:  2007-04       Impact factor: 3.966

5.  Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.

Authors:  Sergei V Adamovich; Gerard G Fluet; Alma S Merians; Abraham Mathai; Qinyin Qiu
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-08-07       Impact factor: 3.802

6.  Pilot study to test effectiveness of video game on reaching performance in stroke.

Authors:  Ana Maria Acosta; Hendrik A Dewald; Jules P A Dewald
Journal:  J Rehabil Res Dev       Date:  2011

7.  Robotically facilitated virtual rehabilitation of arm transport integrated with finger movement in persons with hemiparesis.

Authors:  Alma S Merians; Gerard G Fluet; Qinyin Qiu; Soha Saleh; Ian Lafond; Amy Davidow; Sergei V Adamovich
Journal:  J Neuroeng Rehabil       Date:  2011-05-16       Impact factor: 4.262

Review 8.  Sensorimotor training in virtual reality: a review.

Authors:  Sergei V Adamovich; Gerard G Fluet; Eugene Tunik; Alma S Merians
Journal:  NeuroRehabilitation       Date:  2009       Impact factor: 2.138

9.  Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study.

Authors:  Sergei V Adamovich; Gerard G Fluet; Abraham Mathai; Qinyin Qiu; Jeffrey Lewis; Alma S Merians
Journal:  J Neuroeng Rehabil       Date:  2009-07-17       Impact factor: 4.262

10.  The New Jersey Institute of Technology Robot-Assisted Virtual Rehabilitation (NJIT-RAVR) system for children with cerebral palsy: a feasibility study.

Authors:  Qinyin Qiu; Diego A Ramirez; Soha Saleh; Gerard G Fluet; Heta D Parikh; Donna Kelly; Sergei V Adamovich
Journal:  J Neuroeng Rehabil       Date:  2009-11-16       Impact factor: 4.262

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