Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study

Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicyc...
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Autor*in:	Sarvenaz Rahimibarghani [verfasserIn] Seyedeh Zahra Emami-Razavi [verfasserIn] Abdorreza Naser Moghadasi [verfasserIn] Mohaddeseh Azadvari [verfasserIn] Mahya Shojaee Fard [verfasserIn] Shahram Rahimi-Dehgolan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Multiple sclerosis (MS) Gait analysis Rehabilitation Ataxia Exercise

Übergeordnetes Werk:	In: Journal of Modern Rehabilitation - Tehran University of Medical Sciences, 2020, 16(2022), 4
Übergeordnetes Werk:	volume:16 ; year:2022 ; number:4

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.18502/jmr.v16i4.10763

Katalog-ID:	DOAJ027865495

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245	1	0	\|a Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study
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520			\|a Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters.
650		4	\|a Multiple sclerosis (MS)
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author_variant	s r sr s z e r szer a n m anm m a ma m s f msf s r d srd
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allfields	10.18502/jmr.v16i4.10763 doi (DE-627)DOAJ027865495 (DE-599)DOAJ66efeb6b041a401daed99336c14a6da0 DE-627 ger DE-627 rakwb eng Sarvenaz Rahimibarghani verfasserin aut Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters. Multiple sclerosis (MS) Gait analysis Rehabilitation Ataxia Exercise Medicine R Seyedeh Zahra Emami-Razavi verfasserin aut Abdorreza Naser Moghadasi verfasserin aut Mohaddeseh Azadvari verfasserin aut Mahya Shojaee Fard verfasserin aut Shahram Rahimi-Dehgolan verfasserin aut In Journal of Modern Rehabilitation Tehran University of Medical Sciences, 2020 16(2022), 4 (DE-627)1741549450 (DE-600)3046963-6 25383868 nnns volume:16 year:2022 number:4 https://doi.org/10.18502/jmr.v16i4.10763 kostenfrei https://doaj.org/article/66efeb6b041a401daed99336c14a6da0 kostenfrei https://jmr.tums.ac.ir/index.php/jmr/article/view/611 kostenfrei https://doaj.org/toc/2538-385X Journal toc kostenfrei https://doaj.org/toc/2538-3868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 4
spelling	10.18502/jmr.v16i4.10763 doi (DE-627)DOAJ027865495 (DE-599)DOAJ66efeb6b041a401daed99336c14a6da0 DE-627 ger DE-627 rakwb eng Sarvenaz Rahimibarghani verfasserin aut Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters. Multiple sclerosis (MS) Gait analysis Rehabilitation Ataxia Exercise Medicine R Seyedeh Zahra Emami-Razavi verfasserin aut Abdorreza Naser Moghadasi verfasserin aut Mohaddeseh Azadvari verfasserin aut Mahya Shojaee Fard verfasserin aut Shahram Rahimi-Dehgolan verfasserin aut In Journal of Modern Rehabilitation Tehran University of Medical Sciences, 2020 16(2022), 4 (DE-627)1741549450 (DE-600)3046963-6 25383868 nnns volume:16 year:2022 number:4 https://doi.org/10.18502/jmr.v16i4.10763 kostenfrei https://doaj.org/article/66efeb6b041a401daed99336c14a6da0 kostenfrei https://jmr.tums.ac.ir/index.php/jmr/article/view/611 kostenfrei https://doaj.org/toc/2538-385X Journal toc kostenfrei https://doaj.org/toc/2538-3868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 4
allfields_unstemmed	10.18502/jmr.v16i4.10763 doi (DE-627)DOAJ027865495 (DE-599)DOAJ66efeb6b041a401daed99336c14a6da0 DE-627 ger DE-627 rakwb eng Sarvenaz Rahimibarghani verfasserin aut Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters. Multiple sclerosis (MS) Gait analysis Rehabilitation Ataxia Exercise Medicine R Seyedeh Zahra Emami-Razavi verfasserin aut Abdorreza Naser Moghadasi verfasserin aut Mohaddeseh Azadvari verfasserin aut Mahya Shojaee Fard verfasserin aut Shahram Rahimi-Dehgolan verfasserin aut In Journal of Modern Rehabilitation Tehran University of Medical Sciences, 2020 16(2022), 4 (DE-627)1741549450 (DE-600)3046963-6 25383868 nnns volume:16 year:2022 number:4 https://doi.org/10.18502/jmr.v16i4.10763 kostenfrei https://doaj.org/article/66efeb6b041a401daed99336c14a6da0 kostenfrei https://jmr.tums.ac.ir/index.php/jmr/article/view/611 kostenfrei https://doaj.org/toc/2538-385X Journal toc kostenfrei https://doaj.org/toc/2538-3868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 4
allfieldsGer	10.18502/jmr.v16i4.10763 doi (DE-627)DOAJ027865495 (DE-599)DOAJ66efeb6b041a401daed99336c14a6da0 DE-627 ger DE-627 rakwb eng Sarvenaz Rahimibarghani verfasserin aut Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters. Multiple sclerosis (MS) Gait analysis Rehabilitation Ataxia Exercise Medicine R Seyedeh Zahra Emami-Razavi verfasserin aut Abdorreza Naser Moghadasi verfasserin aut Mohaddeseh Azadvari verfasserin aut Mahya Shojaee Fard verfasserin aut Shahram Rahimi-Dehgolan verfasserin aut In Journal of Modern Rehabilitation Tehran University of Medical Sciences, 2020 16(2022), 4 (DE-627)1741549450 (DE-600)3046963-6 25383868 nnns volume:16 year:2022 number:4 https://doi.org/10.18502/jmr.v16i4.10763 kostenfrei https://doaj.org/article/66efeb6b041a401daed99336c14a6da0 kostenfrei https://jmr.tums.ac.ir/index.php/jmr/article/view/611 kostenfrei https://doaj.org/toc/2538-385X Journal toc kostenfrei https://doaj.org/toc/2538-3868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 4
allfieldsSound	10.18502/jmr.v16i4.10763 doi (DE-627)DOAJ027865495 (DE-599)DOAJ66efeb6b041a401daed99336c14a6da0 DE-627 ger DE-627 rakwb eng Sarvenaz Rahimibarghani verfasserin aut Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters. Multiple sclerosis (MS) Gait analysis Rehabilitation Ataxia Exercise Medicine R Seyedeh Zahra Emami-Razavi verfasserin aut Abdorreza Naser Moghadasi verfasserin aut Mohaddeseh Azadvari verfasserin aut Mahya Shojaee Fard verfasserin aut Shahram Rahimi-Dehgolan verfasserin aut In Journal of Modern Rehabilitation Tehran University of Medical Sciences, 2020 16(2022), 4 (DE-627)1741549450 (DE-600)3046963-6 25383868 nnns volume:16 year:2022 number:4 https://doi.org/10.18502/jmr.v16i4.10763 kostenfrei https://doaj.org/article/66efeb6b041a401daed99336c14a6da0 kostenfrei https://jmr.tums.ac.ir/index.php/jmr/article/view/611 kostenfrei https://doaj.org/toc/2538-385X Journal toc kostenfrei https://doaj.org/toc/2538-3868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 4
language	English
source	In Journal of Modern Rehabilitation 16(2022), 4 volume:16 year:2022 number:4
sourceStr	In Journal of Modern Rehabilitation 16(2022), 4 volume:16 year:2022 number:4
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author	Sarvenaz Rahimibarghani
spellingShingle	Sarvenaz Rahimibarghani misc Multiple sclerosis (MS) misc Gait analysis misc Rehabilitation misc Ataxia misc Exercise misc Medicine misc R Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study
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topic_title	Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study Multiple sclerosis (MS) Gait analysis Rehabilitation Ataxia Exercise
topic	misc Multiple sclerosis (MS) misc Gait analysis misc Rehabilitation misc Ataxia misc Exercise misc Medicine misc R
topic_unstemmed	misc Multiple sclerosis (MS) misc Gait analysis misc Rehabilitation misc Ataxia misc Exercise misc Medicine misc R
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title	Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study
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title_sort	quantitative changes in gait parameters after cycling among multiple sclerosis patients with ataxia: a pilot study
title_auth	Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study
abstract	Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters.
abstractGer	Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters.
abstract_unstemmed	Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters.
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title_short	Quantitative Changes in Gait Parameters after Cycling among Multiple Sclerosis Patients with Ataxia: A Pilot Study
url	https://doi.org/10.18502/jmr.v16i4.10763 https://doaj.org/article/66efeb6b041a401daed99336c14a6da0 https://jmr.tums.ac.ir/index.php/jmr/article/view/611 https://doaj.org/toc/2538-385X https://doaj.org/toc/2538-3868
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Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. 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