Saratov JOURNAL of Medical and Scientific Research

Effectiveness of neurofeedback therapy for acute nonspecific vertebrogenic pain in individuals with an increased level of anxiety

Year: 2020, volume 16 Issue: №1 Pages: 333-336
Heading: Neurology Article type: Original article
Authors: Bykovskiy P.V., Sherman M.A.
Organization: Kirov State Medical University

Objective: to determine the effectiveness of therapy for acute nonspecific vertebrogenic pain and anxiety, as related conditions, using a non-invasive method of biological feedback, in particular neurofeedback technique. Material and Methods. The study included 60 patients with nonspecific vertebrogenic pain in the acute phase and with easily increased anxiety. Patients were divided into two equal groups (30 people in each group) by random sampling depending on the treatment protocol. The neurofeedback technique and basic therapy was applied for patients of the main group while 30 patients of the control group had only basic therapy applied to them. The effectiveness of treatment was evaluated by reducing the assessment of pain on a Visual Analogue Score (VAS), by reducing the anxiety on a Simptom Chek List-90-Revised (SCL-90-R) and to increase the alpha rhythm index. Results. In the main group, there was a greater regression of pain syndrome (p<0.05) and a significant increase in the power of alpha vibrations, recorded in the bioelectric activity of the brain. All investigated factors (anxiety level, severity of acute nonspecific pain and alpha rhythm index) are moderately related. Conclusion. It is advisable to use the non-invasive neuromodulating method of biological feedback (neurofeedback) to reduce anxiety and correct acute moderate vertebrogenic pain.

1. Murray CJ, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2197-223. https:// (12) 61689-4.
2. Kurenkov E L, Makarova VV. Some aspects of pathogen-esis of human intervertebral disc degenerative changes (review of literature). Vyatskiy meditsinskiy vestnik 2018; 58 (2): 52-7.
3. Ramond A, Bouton С, Richard I, et al. Psychosocial risk factors for chronic low back pain in primary care: a systematic review. Fam Pract 2011; 28 (1): 12-21. http://doi.Org/10.1093/f ampra/cmq072.
4. Hallegraeff JM, Kan R, van Trijffel E, Reneman MF. State anxiety improves prediction of pain and pain-related disability after 12 weeks in patients with acute low back pain: a cohort study. J Physiother 2020; 66 (1): 39-44. http://doi.Org/10.1016/j. jphys. 2019.11.011.
5. Esteve R, Ramirez-Maestre C, Lopez-Martinez AE. Experiential avoidance and anxiety sensitivity as dispositional variables and their relationship to the adjustment to chronic pain. Eur J Pain 2011; 16 (5): 718-26. http://doi.Org/10.1002/j. 1532-2149.2011.00035.x.
6. Polo-Kantola P, Aukia L, Karlsson H, et al. Sleep quality during pregnancy: associations with depressive and anxiety symptoms. Acta Obstet Gynecol Scand 2017; 96 (2): 198-206. 13056.
7. Kessler RC. The epidemiology of pure and comorbid generalized anxiety disorder: a review and evaluation of recent research. Acta Psychiatr Scand Suppl 2000; 102: 7-13. http://doi.Org/10.1111/j.0065-1591.2000.acp29-02.x.
8. Bean DJ, Johnson MH, Kydd RR. Relationships between Psychological Factors, Pain, and Disability in Complex Regional Pain Syndrome and Low Back Pain. Clin J Pain 2014; 30 (8): 647-53. 0000000000000007.
9. Marzbani H, Marateb HR, Mansourian M. Neurofeedback: a comprehensive review on system design, methodology and clinical applications. Basic Clin Neurosci 2016; 7 (2): 143-58. http://doi.Org/10.15412/J. BCN. 03070208.
10. Derogatis LR, Lipman RS, Covi L. SCL-90: An outpatient psychiatric rating scale: Preliminary report. Psychopharmacol Bull 1973; 9: 13-28.
11. Sereda Y, Dembitskyi S. Validity assessment of the symptom checklist SCL-90-R and shortened versions for the general population in Ukraine. ВМС Psychiatry 2016; 16 (1): 300. https://doi.Org/10.1186/s12888-016-1014-3.
12. Jensen MP, Hakimian S, Sherlin LH, Fregni F. New insights into neuromodulatory approaches for the treatment of pain. J Pain 2008; 9: 193-9. https://doi.Org/10.1016/j. jpain. 2007.11.003.
13. Ecsy K, Jones AK, Brown CA. Alpha-range visual and auditory stimulation reduces the perception of pain. Eur J Pain 2017; 21 (3): 562-72. 960.
14. Nickel MM, May ES, Tiemann L, et al. Brain oscillations differentially encode noxious stimulus intensity and pain intensity. Neuroimage 2017; 148: 141-7. https://doi.Org/10.1016/j. neuroimage. 2017.01.011.
15. Schulman JJ, Ramirez RR, Zonenshayn M, et al. Thalamocortical dysrhythmia syndrome: MEG imaging of neuropathic pain. Thai Rel Syst 2005; 3 (01): 33-9. https://doi.or g/10.1017/s1472928805000063.
16. Camfferman D, Moseley GL, Gertz K, et al. Waking EEG cortical markers of chronic pain and sleepiness. Pain Med 2017; 18 (10): 1921-31. https://doi.Org/doi:10.1093/pm/pnw294.
17. Vernon DJ. Can Neurofeedback Training Enhance Performance? An Evaluation of the Evidence with Implications for Future Research. Applied Psychophysiol Biofeedback 2005; 30 (4): 347-64.

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