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DOI: 10.1055/s-0044-1791708
Effectiveness of Dynamic Neuromuscular Stabilization Technique in Neurological Conditions: An Updated Review

Abstract
Objective This updated review aims to identify the effectiveness of dynamic neuromuscular stabilization (DNS) techniques in neurological conditions.
Method A literature search was carried out from 2013 to 2024 on PubMed, Google Scholar, Research Gate, and Scopus databases. Following keywords were used to identify the relevant articles such as dynamic neuromuscular stabilization, reflex-mediated DNS, neurological conditions, DNS, cerebral palsy, stroke, Parkinson's disease, multiple sclerosis, neurodegenerative conditions, ataxia, Alzheimer's disease, and multiple sclerosis with Boolean operators. All the full-text, English-written articles based on inclusion and exclusion criteria were included in the review irrespective of their experiment study design, only the review article was excluded.
Results This updated review included 10 articles related to neurological conditions including, stroke, multiple sclerosis, Alzheimer's disease, Parkinson's disease, and cerebral palsy. The results show significant differences in various outcome measures of the included studies.
Conclusion The findings suggest that DNS is an effective approach to use in the rehabilitation protocol of neurologically impaired patients and is beneficial in improving their health outcomes and overall quality of life. This review concludes that more evidence is required in this area of research with good quality research and long follow-up periods.
Keywords
DNS - rehabilitation - neurological conditions - dynamic neuromuscular stabilization - quality of lifeAuthors' Contributions
Conceptualization and Methodology were conducted by H.K. and A.C. The original draft was written by H.K., A.C., and M.S., followed by review and editing from the same authors. Resources were provided by H.K., A.C., and M.S., while supervision was managed by H.K. and A.C.
Publication History
Article published online:
21 October 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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