Brain-Computer Interface Based Engagement Feedback in Virtual Reality Rehabilitation: Promoting Motor Cortex Activation

被引:0
作者
Lim, Hyunmi [1 ]
Ahmed, Bilal [1 ]
Ku, Jeonghun [1 ]
机构
[1] Keimyung Univ, Coll Med, Dept Biomed Engn, Daegu 42601, South Korea
来源
ELECTRONICS | 2025年 / 14卷 / 05期
基金
新加坡国家研究基金会;
关键词
rehabilitation training; virtual reality; engagement feedback; neuroplasticity; motor cortex activation; steady-state visual evoked potential (SSVEP); neurofeedback; STROKE REHABILITATION; NEURAL ACTIVITY; ATTENTION; PLASTICITY; MODULATION; NEUROPLASTICITY; IMPACT; AREAS; FOCUS;
D O I
10.3390/electronics14050827
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Maintaining optimal levels of engagement during rehabilitation training is crucial for inducing neuroplasticity in the motor cortex, which directly influences positive rehabilitation outcomes. In this research article, we propose a virtual reality (VR) rehabilitation system that incorporates a steady-state visual evoked potential (SSVEP) paradigm to provide engagement feedback. The system utilizes a flickering target and cursor to detect the user's engagement levels during a target-tracking task. Eighteen healthy participants were recruited to experience three experimental conditions: no feedback (NoF), performance feedback (PF), and neurofeedback (NF). Our results reveal significantly greater Mu suppression in the NF condition compared to the other conditions. However, no significant differences were observed in performance metrics, such as tracking error, among the three conditions. The amount of feedback between the PF and NF conditions also showed no substantial difference. These findings suggest the efficacy of our SSVEP-based engagement feedback paradigm in stimulating motor cortex activity during rehabilitation. Consequently, we conclude that neurofeedback, based on the user's attentional state, proves to be more effective in promoting motor cortex activation and facilitating neuroplastic changes. This research highlights the potential of integrating VR rehabilitation with an engagement feedback system for successful rehabilitation training.
引用
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页数:18
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共 77 条
[1]  
Marzola P., Melzer T., Pavesi E., Gil-Mohapel J., Brocardo P.S., Exploring the Role of Neuroplasticity in Development, Aging, and Neurodegeneration, Brain Sci, 13, (2023)
[2]  
Keci A., Tani K., Xhema J., Role of Rehabilitation in Neural Plasticity, Open Access Maced. J. Med. Sci, 7, pp. 1540-1547, (2019)
[3]  
Baroncelli L., Braschi C., Spolidoro M., Begenisic T., Sale A., Maffei L., Nurturing Brain Plasticity: Impact of Environmental Enrichment, Cell Death Differ, 17, pp. 1092-1103, (2010)
[4]  
Tedla J.S., Gular K., Reddy R.S., de Sa Ferreira A., Rodrigues E.C., Kakaraparthi V.N., Gyer G., Sangadala D.R., Qasheesh M., Kovela R.K., Et al., Effectiveness of Constraint-Induced Movement Therapy (CIMT) on Balance and Functional Mobility in the Stroke Population: A Systematic Review and Meta-Analysis, Healthcare, 10, (2022)
[5]  
Shamweel H., Gupta N., Constraint-Induced Movement Therapy through Telerehabilitation for Upper Extremity Function in Stroke, J. Neurorestoratology, 12, (2024)
[6]  
Zotey V., Andhale A., Shegekar T., Juganavar A., Adaptive Neuroplasticity in Brain Injury Recovery: Strategies and Insights, Cureus, 15, (2023)
[7]  
Ahmed B., Khan S., Lim H., Ku J., Challenges and Opportunities of Gamified BCI and BMI on Disabled People Learning: A Systematic Review, Electronics, 14, (2025)
[8]  
Sanford S., Liu M., Selvaggi T., Nataraj R., Effects of Visual Feedback Complexity on the Performance of a Movement Task for Rehabilitation, J. Mot. Behav, 53, pp. 243-257, (2021)
[9]  
Song J.-H., The Role of Attention in Motor Control and Learning, Curr. Opin. Psychol, 29, pp. 261-265, (2019)
[10]  
Milnik A., Nowak I., Muller N.G., Attention-Dependent Modulation of Neural Activity in Primary Sensorimotor Cortex, Brain Behav, 3, pp. 54-66, (2013)