Upper Limb Recovery and Brain Activities for Mirror Therapy in Stroke Rehabilitation | Chapter 14 | Emerging Trends in Disease and Health Research Vol. 7

 MT has been utilised to treat a variety of neurological conditions. The use of an electroencephalogram (EEG) in the MT study has recently allowed researchers to obtain insight into the changes in brain activity that occur during treatment. The goal of this study is to map available evidence and identify knowledge gaps on the effects of MT on upper limb recovery and its link to brainwave activity in post-stroke patients. A scoping review was undertaken utilising the PubMed, CINAHL, PsycINFO, and Scopus databases to conduct a systematic literature search. The inclusion criteria were met by twenty papers published between 2010 and 2020. According to the International Classification of Functioning, Disability, and Health, the effectiveness of MT on upper limb rehabilitation and brain activity during MT were discussed (ICF). The majority of studies found that MT improved upper limb recovery in the body structure/functional domain. EEG was employed in all of the experiments to track brain activity during MT. MT appears to be a promising strategy for improving upper-limb function in those who have had a persistent stroke. This review also emphasises the importance of include EEG in the MT study to capture brain activity and better understand the therapy's underlying mechanism.

Author(S) Details

Nurulhuda Jaafar
Centre for Occupational Therapy Studies, Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam, Selangor, Malaysia.

Ahmad Zamir Che Daud
Centre for Occupational Therapy Studies, Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam, Selangor, Malaysia.

Nor Faridah Ahmad Roslan
Department of Rehabilitation Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.

Wahidah Mansor
Microwave Research Institute, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia and School of Electrical Engineering, College of Engineering, UiTM Shah Alam, Malaysia and Computational Intelligence Detection, Health & Wellness ReNeU, UiTM Shah Alam, Malaysia.

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