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Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force
Introduction: The variability and complexity of handgrip forces in various modulations were investigated to identify post-stroke changes in force modulation, and extend our understanding of stroke-induced deficits. Methods: Eleven post-stroke subjects and ten age-matched controls performed voluntary...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512896/ https://www.ncbi.nlm.nih.gov/pubmed/33265466 http://dx.doi.org/10.3390/e20050377 |
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author | Zhu, Pengzhi Wu, Yuanyu Liang, Jingtao Ye, Yu Liu, Huihua Yan, Tiebin Song, Rong |
author_facet | Zhu, Pengzhi Wu, Yuanyu Liang, Jingtao Ye, Yu Liu, Huihua Yan, Tiebin Song, Rong |
author_sort | Zhu, Pengzhi |
collection | PubMed |
description | Introduction: The variability and complexity of handgrip forces in various modulations were investigated to identify post-stroke changes in force modulation, and extend our understanding of stroke-induced deficits. Methods: Eleven post-stroke subjects and ten age-matched controls performed voluntary grip force control tasks (power-grip tasks) at three contraction levels, and stationary dynamometer holding tasks (stationary holding tasks). Variability and complexity were described with root mean square jerk (RMS-jerk) and fuzzy approximate entropy (fApEn), respectively. Force magnitude, Fugl-Meyer upper extremity assessment and Wolf motor function test were also evaluated. Results: Comparing the affected side with the controls, fApEn was significantly decreased and RMS-jerk increased across the three levels in power-grip tasks, and fApEn was significantly decreased in stationary holding tasks. There were significant strong correlations between RMS-jerk and clinical scales in power-grip tasks. Discussion: Abnormal neuromuscular control, altered mechanical properties, and atrophic motoneurons could be the main causes of the differences in complexity and variability in post-stroke subjects. |
format | Online Article Text |
id | pubmed-7512896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75128962020-11-09 Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force Zhu, Pengzhi Wu, Yuanyu Liang, Jingtao Ye, Yu Liu, Huihua Yan, Tiebin Song, Rong Entropy (Basel) Article Introduction: The variability and complexity of handgrip forces in various modulations were investigated to identify post-stroke changes in force modulation, and extend our understanding of stroke-induced deficits. Methods: Eleven post-stroke subjects and ten age-matched controls performed voluntary grip force control tasks (power-grip tasks) at three contraction levels, and stationary dynamometer holding tasks (stationary holding tasks). Variability and complexity were described with root mean square jerk (RMS-jerk) and fuzzy approximate entropy (fApEn), respectively. Force magnitude, Fugl-Meyer upper extremity assessment and Wolf motor function test were also evaluated. Results: Comparing the affected side with the controls, fApEn was significantly decreased and RMS-jerk increased across the three levels in power-grip tasks, and fApEn was significantly decreased in stationary holding tasks. There were significant strong correlations between RMS-jerk and clinical scales in power-grip tasks. Discussion: Abnormal neuromuscular control, altered mechanical properties, and atrophic motoneurons could be the main causes of the differences in complexity and variability in post-stroke subjects. MDPI 2018-05-17 /pmc/articles/PMC7512896/ /pubmed/33265466 http://dx.doi.org/10.3390/e20050377 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Pengzhi Wu, Yuanyu Liang, Jingtao Ye, Yu Liu, Huihua Yan, Tiebin Song, Rong Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force |
title | Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force |
title_full | Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force |
title_fullStr | Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force |
title_full_unstemmed | Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force |
title_short | Characterization of the Stroke-Induced Changes in the Variability and Complexity of Handgrip Force |
title_sort | characterization of the stroke-induced changes in the variability and complexity of handgrip force |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512896/ https://www.ncbi.nlm.nih.gov/pubmed/33265466 http://dx.doi.org/10.3390/e20050377 |
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