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Bilateral movement training and stroke motor recovery progress: A structured review and meta-analysis

Citation

Cauraugh, J and Lodha, N and Naik, S and Summers, JJ, Bilateral movement training and stroke motor recovery progress: A structured review and meta-analysis, Human Movement Science, 29, (5) pp. 853-870. ISSN 0167-9457 (2010) [Refereed Article]

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DOI: doi:10.1016/j.humov.2009.09.004

Abstract

The purpose was to conduct a structured review and meta-analysis to determine the cumulative effect of bilateral arm training on motor capabilities post stroke. Forty-eight stroke studies were selected from three databases with 25 comparisons qualifying for inclusion in our meta-analysis. We identified and coded four types of bilateral arm interventions with 366 stroke patients. A random effects model using the standardized mean difference technique determined a large and significant effect size (0.734; SE = 0.125), high fail-safe N (532), and medium variability in the studies (I2 = 63%). Moderator variable analysis on the type of bilateral training revealed two large and significant effects: (a) BATRAC (0.842; SE = 0.155) and (b) coupled bilateral and EMG-triggered neuromuscular stimulation (1.142; SE = 0.176). These novel findings provide strong evidence supporting bilateral arm training with the caveat that two coupled protocols, rhythmic alternating movements and active stimulation, are most effective.

Item Details

Item Type:Refereed Article
Keywords:Meta-analysis; Stroke rehabilitation; Bilateral movement training; Motor recovery
Research Division:Psychology and Cognitive Sciences
Research Group:Psychology
Research Field:Sensory Processes, Perception and Performance
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Nervous System and Disorders
Author:Summers, JJ (Professor Jeffery Summers)
ID Code:66230
Year Published:2010
Web of Science® Times Cited:74
Deposited By:Psychology
Deposited On:2011-01-10
Last Modified:2014-12-05
Downloads:1 View Download Statistics

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