References
[1]. Kwateng, W. N. P. (2025). Specific phobia statistics: Global and U.S. overview, types, trends, and complications. Broken English MD. https: //brokenenglishmd.com/specific-phobia-statistics-global-and-u-s-overview-types-trends-and-complications/#Effectiveness_of_Treatments
[2]. Xinyi, C. (2024). Phobia anxiety disorder: Etiology of phobia. SHS Web of Conferences, 193, 03002.
[3]. Wu, Y., Wang, L., Tao, M., et al. (2023). Changing trends in the global burden of mental disorders from 1990 to 2019 and predicted levels in 25 years. Epidemiology and Psychiatric Sciences, 32, e63.
[4]. Choy, Y., Fyer, A. J., & Lipsitz, J. D. (2007). Treatment of specific phobia in adults. Clinical Psychology Review, 27(3), 266–286.
[5]. Neudeck, P., & Einsle, F. (2012). Dissemination of exposure therapy in clinical practice: How to handle the barriers? In P. Neudeck & H. Wittchen (Eds.), Exposure therapy: Rethinking the model – Refining the method, 23–34.
[6]. Merriam-Webster. (2015). Medical definition of exposure therapy. Merriam-Webster Online. http: //www.merriamwebster.com/medical/exposure%20therapy
[7]. Varšová, K., & Juřík, V. (2024). Fostering therapeutic alliance and long-term benefits through virtual collaboration in VRET. International Psychological Applications Conference and Trends, 2024.
[8]. Rimer, E., Husby, L. V., & Solem, S. (2021). Virtual reality exposure therapy for fear of heights: Clinicians’ attitudes become more positive after trying VRET. Frontiers in Psychology, 12, 671871.
[9]. Kim, H., Han, E. C., Muntz, P. B., & Kemp, J. (2025). Virtual reality in the treatment of anxiety-related disorders: A review of the innovations, challenges, and clinical implications. Current Psychiatry Reports, 1–10.
[10]. Said, R. R., Heyat, M. B. B., Song, K., Tian, C., & Wu, Z. (2022). A systematic review of virtual reality and robot therapy as recent rehabilitation technologies using EEG–brain–computer interface based on movement-related cortical potentials. Biosensors, 12(12), 1134.
[11]. Xu, L., Xu, M., Jung, T. P., & Ming, D. (2021). Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface. Cognitive Neurodynamics, 15(4), 569–584.
[12]. Kumar, R., Waisberg, E., Ong, J., & Lee, A. G. (2025). The potential power of Neuralink: How brain–machine interfaces can revolutionize medicine. Expert Review of Medical Devices, 22(6), 521–524.
[13]. Kohli, S. (2021). Closed-loop EEG BCI: VR and electrical stimulation to treat neuropathic pain. DiVA Portal. https: //www.diva-portal.org/smash/record.jsf?pid=diva2%3A1613693
[14]. Kirschstein, T., & Köhling, R. (2009). What is the source of the EEG? Clinical EEG and Neuroscience, 40(3), 146–149.
[15]. Newson, J. J., & Thiagarajan, T. C. (2019). EEG frequency bands in psychiatric disorders: A review of resting state studies. Frontiers in Human Neuroscience, 12, 521.
[16]. Jinga, N., Petrescu, C. D., Mitruț, O., Moldoveanu, A., Moldoveanu, F., & Petrescu, L. (2024). Biophysical signal processing for automatic anxiety classification in a virtual reality exposure therapy system. UPB Scientific Bulletin, Series C, 86(2), 73–84.
[17]. Wang, S., Sun, H., & Wang, C. (2023). Application of big data and VR technology in the treatment of acrophobia. In Z. Zhan et al. (Eds.), ICBDIE 2022: International Conference on Big Data and Informatics in Education (AHCS 5, pp. 903–912). Springer.
[18]. Francová, A., Jablonská, M., & Fajnerová, I. (2023). Design and evaluation of virtual reality environments for claustrophobia. Presence: Virtual and Augmented Reality, 32, 23–34.
[19]. Popa, L. L., Chira, D., Strilciuc, Ș., & Mureșanu, D. F. (2023). Non-invasive systems application in traumatic brain injury rehabilitation. Brain Sciences, 13(11), 1594.
[20]. Yao, Y., Hasan, W. Z. W., Jiao, W., Dong, X., Ramli, H. R., Norsahperi, N. M. H., & Wen, D. (2024). ChatGPT and BCI–VR: A new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment. Frontiers in Human Neuroscience, 18, 1426055.
[21]. Rahman, M. A., Brown, D. J., Shopland, N., Harris, M. C., Turabee, Z. B., Heym, N., … Mahmud, M. (2022). Towards machine learning–driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data. In International Conference on Brain Informatics, 195–209.
[22]. Wan, X., Fu, A., Yao, Y., Liu, T., Duan, D., Xie, X., Yu, H., Li, D., & Wen, D. (2025). Applications of BCI and VR in cognitive diagnosis and treatment. Chinese Journal of Engineering, 47(4), 824–836.