Transformation of Electromyographic Parameters in the Treatment of Temporomandibular Joint Dysfunction
DOI:
https://doi.org/10.64124/DMR-2025-2-16Keywords:
electromyography, dysfunction, temporomandibular joint, masticatory muscles, bioelectric activity, bioelectrical rest, myorelaxation splint, occlusioAbstract
Our study enabled us to track and analyze changes in the masticatory muscles of patients undergoing treatment for temporomandibular joint (TMJ) dysfunction, thereby indicating the effectiveness of this treatment. In patients with TMJ dysfunction, qualitative and quantitative electromyography indicators closely correlate with the stages of pathology development and correspond to its clinical manifestations. His study was the first to analyze the relationship between changes in muscle contraction frequency parameters and the subjective sensation of pain in the area of the specified masticatory muscle in patients.
Aim: to study and compare the nature and degree of changes in electromyographic activity of the primary and accessory masticatory muscles in patients with TMJ dysfunction before and after the use of muscle relaxant splints.
Material and methods. A seven-year study of patients with TMJ dysfunction (374 people). 1613 electromyograms were provided for the general analysis before and during the treatment of patients.
Results of the analysis of the effectiveness of the use of myofascial release splints in the treatment of TMJ dysfunction allow us to improve the quality of treatment of this pathology in patients. The results obtained after 6 months indicate that the effectiveness of treatment of patients in CG I (with the lowest intensity of TMJ dysfunction symptoms) reached 89.1 ± 1.3%; CG II—78.3 ± 1.3%; and CG III—77.3 ± 1.3%.
References
1. Huryanov, V. H., Lyakh, Yu.Ye., & Pariy, V. D. (2018). Posibnyk z biostatystyky. Analiz rezultativ medychnykh doslidhen u paketi EZR (R-statistics): navchalnyy posibnyk. Kyiv: Vistka [in Ukrainian].
2. Kaniura, A., Kostiuk, T., Shinchukovskiy, I. et al. (2020). EMG Activity of Chewing Muscles in Disfunctional Disoders of Temporomandibular Joints. Neurophysiology, 52(1), 43–48. DOI: https://doi.org/10.1007/S11062-020-09849-2.
3. Lytovchenko, N. (2020). The use of occlusal splints manufactured with “EXOCAD” software in the treatment of temporo-mandibular disfunction. Int. J. Med. Dent., 24 (1), 66–70.
4. Malanchuk, V. O., & Timoshchenko, N. (2015). Diagnostics of position of the motor and trigger points: of the chewing muscles for zygomatic complex fractures. Likarska sprava, 3–4, 109–115. DOI: https://doi.org/10.31640/LS-2015-(3-4)-18 [in Ukrainian].
5. Manfredini, D., Cocilovo, F., Favero, L. et al. (2011). Surface electromyography of jaw muscles and kinesiographic recordings: diagnostic accuracy for myofascial pain. J. Oral Rehabil., 38(11), 791–795. DOI: https://doi.org/10.1111/j.1365-2842.2011.02218.x.
6. Li Annan, Bingmei Shao, & Zhan Liu. (2022). Comparison of stress distribution of TMJ with different mandibular deformities under incisal clenching. Comput. Methods Biomech. Biomed. Engin., 25(2), 148–155. DOI: https://doi.org/10.1080/10255842.2021.1939316.
7. Singva Park. (2020). Theory and usage of tensiomyography and the analysis method for the patient with low back pain. J. Exercise Rehabilitat., 16(4), 325–331. DOI: https://doi.org/10.12965/jer.2040420.210.
8. Slavicek, R. (2002). The Masticatory Organ: Functions and Dysfunctions .
9. Suenaga, S., Nagayama, K., Nagasawa, T., Indo, H., & Majima, H. J. (2016). The usefulness of diagnostic imaging for the assessment of pain symptoms in temporomandibular disorders. Jpn Dent. Sci. Rev., 52(4), 93–106. DOI: https://doi.org/10.1016/j.jdsr.2016.04.004.
10. Jones, Е. М., Papio, М., Tee, В. С. et al. (2016). Comparison of cone-beam computed tomography with multislice computed tomography in detection of small osseous condylar defects. Am. J. Orthod. Dentofac. Orthop., 150(1), 130–139. DOI: https://doi.org/10.1016/j.ajodo.2015.12.019.
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