A Review of Brain-Computer Interfaces in Neurorehabilitation and Nursing Care for Patients with Paraplegia

Main Article Content

Yuxi Peng

Keywords

brain-computer interface, paraplegia, spinal cord injury, neurorehabilitation, rehabilitation nursing

Abstract

Paraplegia, most commonly caused by spinal cord injury (SCI), results in motor, sensory, and autonomic dysfunction below the level of injury. Traditional rehabilitation primarily relies on passive training, which has limited effects on central neural remod eling. As a cutting-edge neuromodulation technology, brain-computer interfaces (BCIs) can bypass the damaged spinal cord and directly translate brain signals into commands for external devices, offering a new pathway for functional reconstruction. Focusing on the neurorehabilitation and nursing perspectives of patients with paraplegia, this review systematically summarizes the definition, principles, classification, and clinical value of non -invasive EEG‑BCI and invasive implantable BCI. It outlines stratif ied rehabilitation strategies for patients with different injury severities and constructs a comprehensive nursing model that includes pre -rehabilitation assessment, intra -training monitoring, complication prevention, psychological intervention, and home -based continuing care. Current evidence indicates that BCIs can effectively activate neuroplasticity, relieve spasticity, and improve motor intention and activities of daily living. Professional nursing is critical for ensuring safety, adherence, and long-term outcomes. This review also discusses current research limitations and proposes future directions to inform clinical practice and academic research.  

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References

  • [1] Vansteensel, M. J., Pels, E. G. M., Bleichner, M. G., Branco, M. P., Denison, T., Freudenburg, Z. V., Gosselaar, P., Leinders, S., Ottens, T. H., Van Den Boom, M. A., Van Rijen, P. C., Aarnoutse, E. J., & Ramsey, N. F. (2016). Fully implanted brain –computer interface in a locked -in patient with ALS. New England Journal of Medicine, 375 (21), 2060–2066. https://doi.org/10.1056/NEJMoa1608085
  • [2] Bai, Z., Fong, K. N. K., Zhang, J. J., Chan, J., & Ting, K. H. (2020). Immediate and long -term effects of BCI-based rehabilitation of the upper extremity after stroke: A systematic review and meta -analysis. Journal of NeuroEngineering and Rehabilitation, 17(1), 57. https://doi.org/10.1186/s12984-020-00686-2
  • [3] Li, Q., Choi, E. P. H., Gou, M., Tian, Y., & Baptiste, D. (2025). Brain-computer interface: Bring care into a future phase? Challenges and opportunities for nursing in the era of emerging technologies. Nursing Open, 12(11), e70345. https://doi.org/10.1002/nop2.70345
  • [4] Wang, Z., Du, Y., Guo, D., Jiang, H., Li, Z., Wu, J., Yang, J., Li, H., Li, L., Fei, J., & Li, Z. (2026). Brain- computer interface and functional electrical stimulation: A novel approach to motor rehabilitation in CNS injury patients. International Journal of Surgery, 112(3), 7925 –7935. https://doi.org/10.1097/JS9.0000000000004392
  • [5] Mansour, S., Giles, J., Nair, K. P. S., Marshall, R., Ali, A., & Arvaneh, M. (2025). A clinical trial evaluating feasibility and acceptability of a brain -computer interface for telerehabilitation in stroke patients. Journal of NeuroEngineering and Rehabili tation, 22, 91. https://doi.org/10.1186/s12984-025- 01607-x
  • [6] Ali, U., Khan, J., Ahsan, M., et al. (2025). Brain -computer interfaces in the rehabilitation of stroke and spinal cord injury: A systematic review and meta -analysis of clinical efficacy. Cureus, 17(10), e94833. https://doi.org/10.7759/cureus.94833
  • [7] Sun, Z., et al. (2025). The impact of non-invasive brain-computer interface technology on the therapeutic effect of patients with spinal cord injury: A summary of evidence based on meta -analysis. Journal of NeuroEngineering and Rehabilitation, 22, 250. https://doi.org/10.1186/s12984-025-01766-x
  • [8] Dohle, E., Swanson, E., Jovanovic, L., Yusuf, S., Thompson, L., Horsfall, H. L., Muirhead, W., Bashford, L., & Brannigan, J. (2025). Toward the clinical translation of implantable brain –computer interfaces for motor impairment: Research trends and outcome measures. Advanced Science, 12(32), e01912. https://doi.org/10.1002/advs.202501912
  • [9] Liao, R., Xu, W., Zheng, Z., Qin, H., Wu, W., & Tang, D. (2026). Nursing practice of BCI-guided active rehabilitation in a stroke patient with hemiplegia during recovery period. Chinese Journal of Nursing, 61(1), 121-124. https://doi.org/10.3761/j.issn.0254-1769.2026.01.017
  • [10] Chen, J., Liu, Q., Tan, C., Yang, X., Zhao, Y., Hu, Q., Chen, G., & Lan, Y. (2024). Non-invasive brain- computer interfaces effectively improve motor function, sensory function, and activities of daily living in patients with spinal cord injury: A systematic review and meta-analysis. Brain Network and Modulation, 3(1), 9-19. https://doi.org/10.4103/BNM.BNM_15_24