Literature DB >> 22785001

Arm motor recovery using a virtual reality intervention in chronic stroke: randomized control trial.

Sandeep K Subramanian1, Christiane B Lourenço, Gevorg Chilingaryan, Heidi Sveistrup, Mindy F Levin.   

Abstract

INTRODUCTION: Despite interest in virtual environments (VEs) for poststroke arm motor rehabilitation, advantages over physical environment (PE) training have not been established.
OBJECTIVE: The authors compared kinematic and clinical outcomes of dose-matched upper-limb training between a 3D VE and a PE in chronic stroke.
METHODS: Participants (n = 32) were randomized to a 3D VE or PE for training. They pointed to 6 workspace targets (72 trials, 12 trials/target, randomized) for 12 sessions over 4 weeks with similar feedback on precision, movement speed, and trunk displacement. Primary (kinematics, clinical arm motor impairment) and secondary (activity level, arm use) outcomes were compared by time (PRE, POST, and follow-up, RET), training environment, and impairment severity (mild, moderate-to-severe) using mixed-model analyses of variance (ANOVAs).
RESULTS: Endpoint speed, overall performance on a reach-to-grasp task, and activity levels increased in both groups. Only participants in the VE group improved shoulder horizontal adduction at POST (9.5°) and flexion at both POST (6.3°) and RET (13°). Impairment level affected outcomes. After VE training, the mild group increased elbow extension (RET, 25.5°). The moderate-to-severe group in VE increased arm use at POST (0.5 points) and reaching ability at RET (2.2 points). The moderate-to-severe group training in PE increased reaching ability earlier (POST, 1.7 points) and both elbow extension (10.7°) and arm use (0.4 points) at RET, but these changes were accompanied by increased compensatory trunk displacement (RET, 30.2 mm).
CONCLUSION: VE training led to more changes in the mild group and a motor recovery pattern in the moderate-to-severe group indicative of less compensation, possibly because of a better use of feedback.

Entities:  

Mesh:

Year:  2012        PMID: 22785001     DOI: 10.1177/1545968312449695

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


  54 in total

1.  Assessing upper extremity motor function in practice of virtual activities of daily living.

Authors:  Richard J Adams; Matthew D Lichter; Eileen T Krepkovich; Allison Ellington; Marga White; Paul T Diamond
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-09-24       Impact factor: 3.802

Review 2.  Virtual Reality and Medical Inpatients: A Systematic Review of Randomized, Controlled Trials.

Authors:  Julieta Dascal; Mark Reid; Waguih William IsHak; Brennan Spiegel; Jennifer Recacho; Bradley Rosen; Itai Danovitch
Journal:  Innov Clin Neurosci       Date:  2017-02-01

3.  Emergence of virtual reality as a tool for upper limb rehabilitation: incorporation of motor control and motor learning principles.

Authors:  Mindy F Levin; Patrice L Weiss; Emily A Keshner
Journal:  Phys Ther       Date:  2014-09-11

4.  Modifying Kinect placement to improve upper limb joint angle measurement accuracy.

Authors:  Na Jin Seo; Mojtaba F Fathi; Pilwon Hur; Vincent Crocher
Journal:  J Hand Ther       Date:  2016-10-18       Impact factor: 1.950

5.  Interdisciplinary concepts for design and implementation of mixed reality interactive neurorehabilitation systems for stroke.

Authors:  Michael Baran; Nicole Lehrer; Margaret Duff; Vinay Venkataraman; Pavan Turaga; Todd Ingalls; W Zev Rymer; Steven L Wolf; Thanassis Rikakis
Journal:  Phys Ther       Date:  2014-11-25

6.  Does training with traditionally presented and virtually simulated tasks elicit differing changes in object interaction kinematics in persons with upper extremity hemiparesis?

Authors:  Gerard G Fluet; Alma S Merians; Qinyin Qiu; Maryam Rohafaza; Anita M VanWingerden; S V Adamovich
Journal:  Top Stroke Rehabil       Date:  2015-01-22       Impact factor: 2.119

Review 7.  Brain repair after stroke--a novel neurological model.

Authors:  Steven L Small; Giovanni Buccino; Ana Solodkin
Journal:  Nat Rev Neurol       Date:  2013-11-12       Impact factor: 42.937

8.  Virtual Reality Arm Supported Training Reduces Motor Impairment In Two Patients with Severe Hemiparesis.

Authors:  Dc Good; Rl Sainburg
Journal:  J Neurol Transl Neurosci       Date:  2013-09-15

9.  Virtual Reality for Sensorimotor Rehabilitation Post-Stroke: The Promise and Current State of the Field.

Authors:  Gerard G Fluet; Judith E Deutsch
Journal:  Curr Phys Med Rehabil Rep       Date:  2013-03

Review 10.  New evidence for therapies in stroke rehabilitation.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Curr Atheroscler Rep       Date:  2013-06       Impact factor: 5.113

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