Synergetic Innovation of Cranial Nerves and Biomedical Engineering: Promoting the Frontier of Brain Science
DOI:
https://doi.org/10.54097/byc2s652Keywords:
Cranial Nerves; Biomedical Engineering; Electrical Stimulation; Brain-Computer Interface (BCI); Motor Disorders; Tissue Engineering; Neurorehabilitation.Abstract
It has been suggested that the field of biomedical engineering has been instrumental in creating new therapeutic modalities in rehabilitation of neurological disorders as well as motor dysfunction. Much of this can be attributed to advancements in the scientific research of the cranial nerves. This paper has an objective which is to combine all the efforts including and not limited to the use of electrical stimulation, imaging technique and various cranial imaging techniques in the repair of the cranial nerves. The narrative of this article will look at the synergistic effects of the use of such technology including how it may enhance certain working parameters in the patient through electrical stimulation, autologous nerve and bio-mimic engineered/derived recell scaffolds and Brain-Computer interfaces. Multidisciplinary approaches other than comprehensive examination and analysis of peer reviewed articles, clinical experiments, tests etc. which were relevant to seizures were also used for seaching of the topics of study. Qualitative and Quantitative methods were deployed to evaluate the outcome of applying electrical stimuli, BCIs as well as tissue-engineered scaffolds in the improvement of patient performances. The results consequence of the studies state that for instance electrical stimulation of cranial nerves can improve and restore cognitive abilities and also can be used for treatment of the neurologic disorders that are in existence. Neuromodulation is one of the applications that has some effects of improvement in the brain of the individual and direct treatment for disorders of neurology. There are thus many therapies that are directed for treatment of neurologicTissue engineering methods showed an effective strategy for restoring function in motor cranial nerves; however, the challenges of therapy are due to problems such as misdirection of reinnervation. Brain computer interfaces on the other hand offer a solution for the restoration of lost motor function with significant improvements. It is possible to achieve an increase in the recovery rate by up to 25% using the techniques of motor imagery and neurofeedback. Although the said positive attributes are present in reality, the document credences that more work still needs to be done in the investigation of new technologies, free from the bias on these existing technologies.
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[1] Abdolmaleki, A., Karimian, A., Asadi, A., & Ghanimi, H. A. (2023). 3D bioprinting applications as new technology for nerve regeneration. ZJRMS, 121121. https://dx.doi.org/10.5812/zjrms-121121
[2] Adair, D., Truong, D., Esmaeilpour, Z., Gebodh, N., Borges, H., Ho, L., Bremner, J., Badran, B., Napadow, V., Clark, V., & Bikson, M. (2020). Electrical stimulation of cranial nerves in cognition and disease. Brain Stimulation, 13(2), 354-362. https://dx.doi.org/10.1016/j.brs.2020.02.019
[3] Daniel, C. (2021). Application of cyborgs and enhancement technology in biomedical engineering. Figshare. https://dx.doi.org/10.6084/M9.FIGSHARE.13618970.V1
[4] Emmanuel, B. S. (2022). A study of the effectiveness of monophasic electrical stimulation in enhancing neuromuscular tissue function. IEEE Transactions on Education, 10051226. https://dx.doi.org/10.1109/ITED56637.2022.10051226
[5] Ghafoor, U., Kim, S., & Hong, K. (2017). Selectivity and longevity of peripheral-nerve and machine interfaces: A review. Frontiers in Neurorobotics, 11(59). https://dx.doi.org/10.3389/fnbot.2017.00059
[6] Herring, E., Graczyk, E. L., Memberg, W., Adams, R. D., Fernandez Baca‐Vaca, G., Hutchison, B. C., Krall, J. T., Alexander, B. J., Conlan, E. C., Alfaro, K. E., Bhat, P., Ketting-Olivier, A. B., Haddix, C., Taylor, D., Tyler, D., Kirsch, R., Ajiboye, A., & Miller, J. P. (2023). Reconnecting the hand and arm to the brain: Efficacy of neural interfaces for sensorimotor restoration after tetraplegia. medRxiv. https://dx.doi.org/10.1101/2023.04.24.23288977
[7] Huang, Y.-C., & Huang, Y.-Y. (2006). Tissue engineering for nerve repair. BioMedical Engineering OnLine, 5(18). https://dx.doi.org/10.4015/S101623720600018X
[8] Kim, Y., & Romero-Ortega, M. (2012). Material considerations for peripheral nerve interfacing. MRS Bulletin, 37(6), 573-580. https://dx.doi.org/10.1557/MRS.2012.99
[9] Langhals, N., Urbanchek, M., Ray, A., & Brenner, M. (2014). Update in facial nerve paralysis: tissue engineering and new technologies. Current Opinion in Otolaryngology & Head and Neck Surgery, 22(4), 299-306. https://dx.doi.org/10.1097/MOO.0000000000000062
[10] Leach, J., Achyuta, A., & Murthy, S. (2009). Bridging the divide between neuroprosthetic design, tissue engineering and neurobiology. Frontiers in Neuroengineering, 2(18). https://dx.doi.org/10.3389/neuro.16.018.2009
[11] Lei, J. (2023). Strengthen motor imagery for motor disorders patients in metaverse through brain computer interfaces. Journal of Physics: Conference Series, 2580(1), 012029. https://dx.doi.org/10.1088/1742-6596/2580/1/012029
[12] Mackinnon, S. (2018). Discussion: state-of-the-art techniques in treating peripheral nerve injury. Plastic and Reconstructive Surgery, 141(3), 641-643. https://dx.doi.org/10.1097/PRS.0000000000004264
[13] Piscitelli, C. (2024). "Galeno" Neurosurgery Device for Brain Herniation a Multidisciplinary Approach to Complexity. Journal of Clinical Medical Research and Management, 2(2), 111. https://dx.doi.org/10.47363/jcmrm/2024(2)111
[14] Shi, X., Yu, G., & He, D. (2000). An experimental study on physiotherapy for traumatic facial nerve injury. PubMed. https://pubmed.ncbi.nlm.nih.gov/11780532
[15] Teudt, I., Nevel, A., Izzo, A., Walsh, J., & Richter, C. (2007). Optical stimulation of the facial nerve: A new monitoring technique? Laryngoscope, 117(9), 1641-1647. https://dx.doi.org/10.1097/MLG.0b013e318074ec00
[16] Xie, Y., Schneider, K., Ali, S., Hogikyan, N., Feldman, E., & Brenner, M. (2020). Current landscape in motoneuron regeneration and reconstruction for motor cranial nerve injuries. Neural Regeneration Research, 15(8), 1517-1524. https://dx.doi.org/10.4103/1673-5374.276325
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