Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling Approach
Balance plays a crucial role in human life and social activities. Maintaining balance is a relatively complex process that requires the participation of various balance control subsystems (BCSes). However, previous studies have primarily focused on evaluating an individual’s overall balan...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10412099/ |
| _version_ | 1797335561638248448 |
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| author | Kangjia Wu Jingyu Zhang Alkamat Wahib Abdullah Mohsen Zhengbo Wang Yu Jin Wenan Wang Xiaohang Peng Dezhong Yao Pedro A. Valdes-Sosa Peng Ren |
| author_facet | Kangjia Wu Jingyu Zhang Alkamat Wahib Abdullah Mohsen Zhengbo Wang Yu Jin Wenan Wang Xiaohang Peng Dezhong Yao Pedro A. Valdes-Sosa Peng Ren |
| author_sort | Kangjia Wu |
| collection | DOAJ |
| description | Balance plays a crucial role in human life and social activities. Maintaining balance is a relatively complex process that requires the participation of various balance control subsystems (BCSes). However, previous studies have primarily focused on evaluating an individual’s overall balance ability or the ability of each BCS in isolation, without considering how they influence (or interact with) each other. The first study used clinical scales to evaluate the functions of the four BCSes, namely Reactive Postural Control (RPC), Anticipatory Postural Adjustment (APA), Dynamic Gait (DG), and Sensory Orientation (SO), and psychological factors such as fear of falling (FOF). A hierarchical structural equation modeling (SEM) was used to investigate the relationship between the BCSes and their association with FOF. The second study involved using posturography to measure and extract parameters from the center of pressure (COP) signal. SEM with sparsity constraint was used to analyze the relationship between vision, proprioception, and vestibular sense on balance based on the extracted COP parameters. The first study revealed that the RPC, APA, DG and SO indirectly influenced each other through their overall balance ability, and their association with FOF was not the same. APA has the strongest association with FOF, while RPC has the least association with FOF. The second study revealed that sensory inputs, such as vision, proprioception, and vestibular sensing, directly affected each other, but their associations were not identical. Among them, proprioception plays the most important role in the three sensory subsystems. This study provides the first numerical evidence that the BCSes are not independent of each other and exist in direct or indirect interplay. This approach has important implications for the diagnosis and management of balance-related disorders in clinical settings and improving our understanding of the underlying mechanisms of balance control. |
| first_indexed | 2024-03-08T08:38:58Z |
| format | Article |
| id | doaj.art-19cc0deb3e3a47b99ab0cef014e238c5 |
| institution | Directory Open Access Journal |
| issn | 1558-0210 |
| language | English |
| last_indexed | 2024-03-08T08:38:58Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-19cc0deb3e3a47b99ab0cef014e238c52024-02-02T00:00:16ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1558-02102024-01-013262563710.1109/TNSRE.2024.335761310412099Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling ApproachKangjia Wu0Jingyu Zhang1Alkamat Wahib Abdullah Mohsen2Zhengbo Wang3Yu Jin4Wenan Wang5Xiaohang Peng6https://orcid.org/0000-0001-6822-8712Dezhong Yao7https://orcid.org/0000-0002-8042-879XPedro A. Valdes-Sosa8Peng Ren9https://orcid.org/0000-0002-8042-879XSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaResearch Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaBalance plays a crucial role in human life and social activities. Maintaining balance is a relatively complex process that requires the participation of various balance control subsystems (BCSes). However, previous studies have primarily focused on evaluating an individual’s overall balance ability or the ability of each BCS in isolation, without considering how they influence (or interact with) each other. The first study used clinical scales to evaluate the functions of the four BCSes, namely Reactive Postural Control (RPC), Anticipatory Postural Adjustment (APA), Dynamic Gait (DG), and Sensory Orientation (SO), and psychological factors such as fear of falling (FOF). A hierarchical structural equation modeling (SEM) was used to investigate the relationship between the BCSes and their association with FOF. The second study involved using posturography to measure and extract parameters from the center of pressure (COP) signal. SEM with sparsity constraint was used to analyze the relationship between vision, proprioception, and vestibular sense on balance based on the extracted COP parameters. The first study revealed that the RPC, APA, DG and SO indirectly influenced each other through their overall balance ability, and their association with FOF was not the same. APA has the strongest association with FOF, while RPC has the least association with FOF. The second study revealed that sensory inputs, such as vision, proprioception, and vestibular sensing, directly affected each other, but their associations were not identical. Among them, proprioception plays the most important role in the three sensory subsystems. This study provides the first numerical evidence that the BCSes are not independent of each other and exist in direct or indirect interplay. This approach has important implications for the diagnosis and management of balance-related disorders in clinical settings and improving our understanding of the underlying mechanisms of balance control.https://ieeexplore.ieee.org/document/10412099/Balance control subsystem (BCS)causal effectclinical scalefear of falling (FOF)interactionposturography |
| spellingShingle | Kangjia Wu Jingyu Zhang Alkamat Wahib Abdullah Mohsen Zhengbo Wang Yu Jin Wenan Wang Xiaohang Peng Dezhong Yao Pedro A. Valdes-Sosa Peng Ren Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling Approach IEEE Transactions on Neural Systems and Rehabilitation Engineering Balance control subsystem (BCS) causal effect clinical scale fear of falling (FOF) interaction posturography |
| title | Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling Approach |
| title_full | Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling Approach |
| title_fullStr | Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling Approach |
| title_full_unstemmed | Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling Approach |
| title_short | Analysis of the Relation Between Balance Control Subsystems: A Structural Equation Modeling Approach |
| title_sort | analysis of the relation between balance control subsystems a structural equation modeling approach |
| topic | Balance control subsystem (BCS) causal effect clinical scale fear of falling (FOF) interaction posturography |
| url | https://ieeexplore.ieee.org/document/10412099/ |
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