Efficacy of Action Observation for Upper Limb Motor Deficit in Acute Stroke Participants

Anandan, Arulmozhi Devi; Selvaraj, Suresh Kumar; Regan, Raja; Subramanian, Shenbaga Sundaram; Neelam, Shazia; Gaowgeh, Riziq Allah Mustafa

doi:10.9734/jpri/2021/v33i56a33905

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…The World Health Organization defines stroke as"rapidly developing clinical symptoms and/or signs of focal, and at times global, loss of cerebral function, with symptoms lasting more than 24 hours or leading to death, with no apparent cause other than that of vascular origin [1]. In 2010 stroke was considered the 2nd most common cause of Disability Adjusted Life Years (DALYS) according to the global burden of diseases injuries risk factors study [2]. Stroke is one of the leading of the causes of disability and according to the global burden of disease (GBD) study in 2010 it is the second leading cause of death worldwide [3].…”

Section: Introductionmentioning

confidence: 99%

Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range

Neelam¹,

P.²,

Swathi³

et al. 2022

Fiz Pol

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Background. Stroke is one of the leading of the causes of disability and according to the global burden of disease (GBD) study in 2010 it is the second leading cause of death worldwide. Developing countries reported 85% global burden of stroke enduring 80 percent of death due to hemorrhagic strokes. Stroke-related hospitalization rate in India is 46 per 100,000 persons. However Stroke Riskometer App can be used to significantly improve stroke and Non- Communicable disease prevention, since it operates on latest expansions in risk allocution/communication, International guidelines on stroke and Cardio-Vascular Disease prevention. However, the app does not classify the risk individuals into low, moderate and high categories which will not create any impact over the high risk individual, therefore it calls for the need to classify the tool into low, moderate and high risk ranges. Aim. To classify the Stroke Riskometer App into low, moderate and high stroke risk ranges among adult and elderly population. Methods. Participants were 250 samples selected from Chettinad Academy of Research and Education and S.A. Poly Clinic, Chennai, for over a_period of 6 months (April 2021-September 2021) and the Stroke Riskometer questionnaire along with Framingham Stroke Profile was filled, risk percentage from both the tools were recorded using the App for each individual. Results. Frequency analysis and Chi-square tests were performed, classifying the range into < 5% as low, 6-10% as moderate and > 10% as high risk in Stroke Riskometer tool. In Chi-square test it showed n = 104 as low risk, n = 11 as moderate risk,n = 14 as high risk in both FRS and Stroke Riskometer respectively. The chi-square value is 24.224 and the significant p value is < 0.0001showing that the value is performing well with FRS score. Conclusion. Though the App was classified into ranges it need to be continually developed and validated with larger sample size, heterogenous population and robust ethnic groups.

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Section: Introductionmentioning

confidence: 99%

Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range

Neelam¹,

P.²,

Swathi³

et al. 2022

Fiz Pol

View full text Add to dashboard Cite

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Top-down and bottom-up stimulation techniques combined with action observation treatment in stroke rehabilitation: a perspective

Nitsche

Ren

et al. 2023

Front. Neurol.

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Stroke is a central nervous system disease that causes structural lesions and functional impairments of the brain, resulting in varying types, and degrees of dysfunction. The bimodal balance-recovery model (interhemispheric competition model and vicariation model) has been proposed as the mechanism of functional recovery after a stroke. We analyzed how combinations of motor observation treatment approaches, transcranial electrical (TES) or magnetic (TMS) stimulation and peripheral electrical (PES) or magnetic (PMS) stimulation techniques can be taken as accessorial physical therapy methods on symptom reduction of stroke patients. We suggest that top-down and bottom-up stimulation techniques combined with action observation treatment synergistically might develop into valuable physical therapy strategies in neurorehabilitation after stroke. We explored how TES or TMS intervention over the contralesional hemisphere or the lesioned hemisphere combined with PES or PMS of the paretic limbs during motor observation followed by action execution have super-additive effects to potentiate the effect of conventional treatment in stroke patients. The proposed paradigm could be an innovative and adjunctive approach to potentiate the effect of conventional rehabilitation treatment, especially for those patients with severe motor deficits.

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Efficacy of Action Observation for Upper Limb Motor Deficit in Acute Stroke Participants

Cited by 2 publications

References 14 publications

Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range

Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range

Top-down and bottom-up stimulation techniques combined with action observation treatment in stroke rehabilitation: a perspective

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