Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control

Abstract Background Tai Chi (TC) is recognized for enhancing balance and postural control. However, studies on its effects on the central nervous system are limited and often involve static experiments despite the dynamic nature of TC. This study addressed that gap by examining cortical network acti...

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Main Authors: Guozheng Wang, Xiaoxia Liu, Yiming Cai, Jian Wang, Ying Gao, Jun Liu
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Online Access:https://doi.org/10.1186/s12984-025-01650-8
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author Guozheng Wang
Xiaoxia Liu
Yiming Cai
Jian Wang
Ying Gao
Jun Liu
author_facet Guozheng Wang
Xiaoxia Liu
Yiming Cai
Jian Wang
Ying Gao
Jun Liu
author_sort Guozheng Wang
collection DOAJ
description Abstract Background Tai Chi (TC) is recognized for enhancing balance and postural control. However, studies on its effects on the central nervous system are limited and often involve static experiments despite the dynamic nature of TC. This study addressed that gap by examining cortical network activity during dynamic, multisensory conflict balance tasks. We aimed to determine whether long-term TC practice leads to neuroplastic changes in brain connectivity that improve sensory integration for postural control. Methods Fifty-two young adult participants (long-term TC practitioners = 22; non-practitioners = 30) performed balance tasks under sensory congruent and conflict conditions using a virtual reality headset with a rotating supporting surface. EEG was performed, and generalized partial directed coherence was used to assess directed functional connectivity in the mu rhythm (8–13 Hz) between predefined regions of interest (ROIs) in the cortex implicated in sensory and motor integration. Graph-theoretic measures (in-strength and out-strength) indexed the total incoming and outgoing connection strengths for each region. Statistical analysis used mixed-design ANOVAs (Group × Condition) to compare balance and connectivity measures. Results TC practitioners demonstrated significantly better postural stability under both sensory conditions, with a reduced sway area. EEG analysis revealed that increased sensory conflict decreased the global efficiency of the visual integration network but increased that of the somatosensory integration network. Furthermore, TC practitioners demonstrated enhanced out-strength of the somatosensory cortex and lower out-strength of the right posterior parietal cortex (PPC) compared to non-practitioners. Conclusions Long-term TC practice is associated with quantifiable neuroplastic changes in mu-band cortical effective connectivity, specifically enhanced information outflow from somatosensory reduce parietal influence regions. Our findings demonstrate central mechanisms by which TC practice may improve balance, providing neuroengineering evidence for TC as a neuroplasticity-driven balance intervention.
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spelling doaj-art-f2949e82a9cb44ec8a92014e04fc78442025-08-20T02:39:05ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032025-05-0122111510.1186/s12984-025-01650-8Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural controlGuozheng Wang0Xiaoxia Liu1Yiming Cai2Jian Wang3Ying Gao4Jun Liu5Taizhou Key Laboratory of Medical Devices and Advanced Materials, Taizhou Institute of Zhejiang UniversityDepartment of Sports Science, College of Education, Zhejiang UniversityKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang UniversityDepartment of Sports Science, College of Education, Zhejiang UniversityDepartment of Sports Science, College of Education, Zhejiang UniversityTaizhou Key Laboratory of Medical Devices and Advanced Materials, Taizhou Institute of Zhejiang UniversityAbstract Background Tai Chi (TC) is recognized for enhancing balance and postural control. However, studies on its effects on the central nervous system are limited and often involve static experiments despite the dynamic nature of TC. This study addressed that gap by examining cortical network activity during dynamic, multisensory conflict balance tasks. We aimed to determine whether long-term TC practice leads to neuroplastic changes in brain connectivity that improve sensory integration for postural control. Methods Fifty-two young adult participants (long-term TC practitioners = 22; non-practitioners = 30) performed balance tasks under sensory congruent and conflict conditions using a virtual reality headset with a rotating supporting surface. EEG was performed, and generalized partial directed coherence was used to assess directed functional connectivity in the mu rhythm (8–13 Hz) between predefined regions of interest (ROIs) in the cortex implicated in sensory and motor integration. Graph-theoretic measures (in-strength and out-strength) indexed the total incoming and outgoing connection strengths for each region. Statistical analysis used mixed-design ANOVAs (Group × Condition) to compare balance and connectivity measures. Results TC practitioners demonstrated significantly better postural stability under both sensory conditions, with a reduced sway area. EEG analysis revealed that increased sensory conflict decreased the global efficiency of the visual integration network but increased that of the somatosensory integration network. Furthermore, TC practitioners demonstrated enhanced out-strength of the somatosensory cortex and lower out-strength of the right posterior parietal cortex (PPC) compared to non-practitioners. Conclusions Long-term TC practice is associated with quantifiable neuroplastic changes in mu-band cortical effective connectivity, specifically enhanced information outflow from somatosensory reduce parietal influence regions. Our findings demonstrate central mechanisms by which TC practice may improve balance, providing neuroengineering evidence for TC as a neuroplasticity-driven balance intervention.https://doi.org/10.1186/s12984-025-01650-8Tai chiPostural controlEEGCortical connectivitySensory integration
spellingShingle Guozheng Wang
Xiaoxia Liu
Yiming Cai
Jian Wang
Ying Gao
Jun Liu
Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control
Journal of NeuroEngineering and Rehabilitation
Tai chi
Postural control
EEG
Cortical connectivity
Sensory integration
title Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control
title_full Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control
title_fullStr Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control
title_full_unstemmed Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control
title_short Cortical adaptations in Tai Chi practitioners during sensory conflict: an EEG-based effective connectivity analysis of postural control
title_sort cortical adaptations in tai chi practitioners during sensory conflict an eeg based effective connectivity analysis of postural control
topic Tai chi
Postural control
EEG
Cortical connectivity
Sensory integration
url https://doi.org/10.1186/s12984-025-01650-8
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