Motor imagery on upper extremity function for persons with stroke: a systematic review and meta-analysis

Lee, Dong Su

doi:10.14474/ptrs.2019.8.1.52

Cited by 13 publications

(12 citation statements)

References 33 publications

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“…Accordingly, two popular rehabilitation techniques that seem to offer some hope for patients with severe impairment in motor function are tasks observation and mental practice, sometimes known as motor imagery [ 6 , 7 ]. Tasks observation is a rehabilitation technique whereby a patient observes physical performance of tasks by a second person with the goal of having the cortical activation that occurred in the brain of the second person during the tasks performance mirrored in similar brain areas of the patient [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Rehabilitation of Severe Impairment in Motor Function after Stroke: Suggestions for Harnessing the Potentials of Mirror Neurons and the Mentalizing Systems to Stimulate Recovery

Abdullahi

Wong

2022

Brain Sciences

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Rehabilitation of severe impairment in motor function following stroke is very challenging. This is because one of the driving forces for recovery of motor function is tasks practice, something this category of patients cannot voluntarily perform. However, it has now been shown that tasks practice can equally be carried out cognitively and through observation of another person’s practice, using techniques known as mental practice and tasks observation, respectively. Mental practice and tasks observation are believed to activate networks of neurons in the brain known as mirror neurons and mentalizing systems to induce recovery. The effectiveness of these techniques has, however, limited evidence at the moment. One possible explanation for this could be the nature of the protocols of these techniques, especially as regards to the intensity of practice. This article proposes ways the potentials of the mirror neurons and mentalizing systems can be harnessed to optimize recovery of severe impairment in motor function using mental practice and tasks observation. The article suggests, among other ways, protocols where tasks observation or mirror therapy are carried out first, and are then followed by mental practice, increasing the number of times the tasks are observed or mentalized, observation of significant others performing the tasks and mental practice of very familiar tasks.

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Section: Introductionmentioning

confidence: 99%

Rehabilitation of Severe Impairment in Motor Function after Stroke: Suggestions for Harnessing the Potentials of Mirror Neurons and the Mentalizing Systems to Stimulate Recovery

Abdullahi

Wong

2022

Brain Sciences

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“…This mental process triggers the activation of the neurocognitive mechanisms that underlie the planning of voluntary movements resembling how the action is executed in a real way [ 1 ]. Currently, MI has been postulated as a reliable tool to promote motor learning in all of its phases in activities, like the development of professional motor skills learning [ 2 ], improvement of sports gestures [ 3 ], and enhancement of skilled performance in the patient rehabilitation [ 4 , 5 ], among others. In these applications, the Media and Information Literacy methodology proposed by UNESCO includes many competencies that are vital for people to be effectively engaged in human development [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks

et al. 2020

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Motor Imagery (MI) promotes motor learning in activities, like developing professional motor skills, sports gestures, and patient rehabilitation. However, up to 30% of users may not develop enough coordination skills after training sessions because of inter and intra-subject variability. Here, we develop a data-driven estimator, termed Deep Regression Network (DRN), which jointly extracts and performs the regression analysis in order to assess the efficiency of the individual brain networks in practicing MI tasks. The proposed double-stage estimator initially learns a pool of deep patterns, extracted from the input data, in order to feed a neural regression model, allowing for infering the distinctiveness between subject assemblies having similar variability. The results, which were obtained on real-world MI data, prove that the DRN estimator fosters pre-training neural desynchronization and initial training synchronization to predict the bi-class accuracy response, thus providing a better understanding of the Brain–Computer Interface inefficiency of subjects.

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“…If there are various independent and dependent variables that are difficult to include in a meta-analyses, it is necessary to perform the analyses separately and review the results; it is believed that the combination of significance tests and index estimates of effect sizes can overcome these difficulties. Future research should include overseas papers on aquatic exercise to reduce the reporting bias [48,49]. In future randomized trials, the categories of experimental variables should be clearly classified, and related guidelines should be established.…”

Section: Discussionmentioning

confidence: 99%

Effect of aquatic exercise on gait in persons with chronic stroke: a meta-analysis study in Korea

Lee

Cho

2019

PTRS

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Objective: Based on the results of previous studies, it is necessary to analyze gait and discuss and present the effects of aquatic exercise for chronic stroke. The purpose of this study was to present objective data on the effect of aquatic exercise on the gait of persons with stroke by performing a meta-analysis. Design: A systematic review and meta-analysis. Methods: We performed a meta-analysis of 23 studies that investigated the effects of aquatic exercise performed between 2006 and 2017. The studies were searched on the basis of the participants, intervention, comparison, outcomes standard. The quality of the research method was assessed using a tool that can assess the risks posed by each study design. A meta-analysis software program was used to calculate the mean effect size, effect size by intervention, and effect size by outcome. We also performed a meta-regression analysis and an analysis of publication bias. Results: The mean effect size of the patients' gait was 0.65 (p<0.05). The largest effect size by outcome was observed at the 6-m walk test, followed by the 6-minutes walk test, 10-m walk test, and the walking equipment test (p<0.05). The meta-regression analysis showed that the effect size increased with increased duration, number, and length of sessions. Conclusions: Aquatic exercise appears to show a moderate effect on the gait of chronic stroke survivors. Meta-analyses on the effects of aquatic exercise in other patient populations are needed. This study suggests standard criteria establishments for the effect of aquatic exercise on the walking ability of persons with chronic stroke.

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Motor imagery on upper extremity function for persons with stroke: a systematic review and meta-analysis

Cited by 13 publications

References 33 publications

Rehabilitation of Severe Impairment in Motor Function after Stroke: Suggestions for Harnessing the Potentials of Mirror Neurons and the Mentalizing Systems to Stimulate Recovery

Rehabilitation of Severe Impairment in Motor Function after Stroke: Suggestions for Harnessing the Potentials of Mirror Neurons and the Mentalizing Systems to Stimulate Recovery

Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks

Effect of aquatic exercise on gait in persons with chronic stroke: a meta-analysis study in Korea

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