Research in Community and Public Health Nursing (지역사회간호학회지)

Korean Academy of Community Health Nursing (한국지역사회간호학회)
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The Effects of Brain-wave Biofeedback Training Nursing Intervention upon Self-regulation of Emotional Behavior Problem in Adolescents at School

뇌파 바이오피드백훈련 간호중재가 학교 청소년 정서행동문제 관심군의 자기조절에 미치는 효과

  • Received : 2021.03.15
  • Accepted : 2021.06.23
  • Published : 2021.09.30
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Abstract

Purpose: The purpose of this study was to identify the effects of brain-wave biofeedback training nursing intervention (NFT) upon enhancing self-regulation response in adolescence with emotional behavior problems in school. Methods: A quasi-experimental design was conducted. The participants were assigned to the experimental group (n=24) or the control group (n=24). The experimental group additionally received NFT. The NFT was conducted 10 sessions for 30 minutes per session with the band reward and inhibit training which matched their Quantitative Electroencephalography (QEEG), participant's demand and chief complaint. Data were collected with QEEG and heart rate variability (HRV) in physiological response, self-efficacy in cognitive response, depression in emotional response, impulsivity and delay gratification in behavioral response of self-regulation. Results: The general characteristics and the pre-test scores of two groups were all homogeneous. The experimental group was reported to be significantly higher in QEEG homeostasis, HRV homeostasis, self-efficacy, and delay gratification than the control group. The experimental group was reported to be significantly lower in depression and impulsivity. Conclusion: The results indicate that NFT using brain cognitive neuroscience approach is effective in enhancing self-regulation response. Therefore, this nursing intervention using brain cognitive neuroscience approach can be applied as an effective self-regulation nursing intervention for adolescents with emotional behavior problems in communities for adaptive life.

Keywords

Acknowledgement

본 연구는 2019년도 정부(과학기술정보통신부)의 재원으로 한국연구재단지원(과제번호: 2019R1A2C108947112)

References

  1. Lim MH, Park YJ, Kim SH. The affects of self-regulation, conflict resolution strategy, self-esteem on adolescent's problem behavior. Journal of Korea Youth Counseling Association. 2018;3(4):85-103.
  2. Jung SA, Ahn DH, Chung SY, Jeong YG, Kim YY. Development of screening test for adolescent mental health and problem behavior. Journal of Korean Neuropsychiatric Association. 2008;47(2):168-176.
  3. Kang MK. Mental health problem-behavior. The Korea Herald. 2018 Oct 5;Sect. 02.
  4. Park JH, Kim SH. Development of the adolescent brain and behavioral and cognitive characteristics. Journal of the Korean Society of Biological Therapies in Psychiatry. 2011;17(1):11-20.
  5. Thompson M, Thompson L. The neurofeedback book: An introduction to basic concepts in applied psychophysiology. 2nd ed. Wheat Ridge: Association for Applied Psychophysiology & Biofeedback;2015. 349 p.
  6. Chapin TJ, Russell-chapin LA. Neurotherapy and neurofeedback: Brain-based treatment for psychological and behavioral problems. New york: Routledge;2013. 87 p.
  7. Kim W, Woo JM, Chae JH. Heart rate variability in psychiatry. Journal of Korean Neuropsychiatric Association. 2005;44(2):176-184.
  8. Romer D, Duckworth AL, Sznitman S, Park S. Can adolescents learn self-control? Delay of gratification in the development of control over risk taking. Prevention Science. 2010;11(3):319-330. https://doi.org/10.1007/s11121-010-0171-8
  9. Dolgin KG. The adolescent: Development, relationships and culture. 14th ed. New Zealand:Pearson Education; 2017. 542 p.
  10. Seo EJ. The current domestic study trends based on intervention strategies of behavior problems for the children with EBD. The Journal of Korean Society for Fisheries and Marine Sciences Education. 2010;22(4):647-664.
  11. Shin HC. Biofeedback. Korean Journal of Clinical Geriatrics. 2009;10(3):332-340.
  12. Cheong MJ, Jo H, Chae EY. Meta analysis on the effects of neuro-feedback training programme. Journal of the Korea Academia-industrial cooperation Society. 2016;17(12):582-593. https://doi.org/10.5762/KAIS.2016.17.12.582
  13. Magen E, Gross JJ. Getting our act together: Toward a general model of self-control. In Hassin R, Ochsner K, Trope Y editors. Self-control in Society, Mind and Brain. New York: Oxford University Press;2010. p. 339-353.
  14. Goldin PR, Mcrae K, Ramel W, Gross JJ. The neural bases of emotion regulation: Reappraisal and suppression of negative emotion. Biological Psychiatry. 2008;63(6):577-586. https://doi.org/10.1016/j.biopsych.2007.05.031
  15. Ministry of Education. Adolescent mental health and problem behavior [Internet]. Sejong: Ministry of Education. 2019[cited 2020 March 10]. Available from: https://sbedu.sen.go.kr/CMS/admininfo/admininfo02/admininfo0202/1294508_1377.html
  16. Thatcher RW. Validity and reliability of quantitative electro-encephalography. Journal of Neurotherapy. 2010;14(2):122-152. https://doi.org/10.1080/10874201003773500
  17. Cha JE. A study for the general self-efficacy scale development [master's thesis]. [Seoul]: Ewha womans university; 1997. 81 p.
  18. Kim SH. The effect of general self-efficacy on the mental health of the high school students [dissertation]. [Seoul]: Ewha Womans University; 1998. 82 p.
  19. Weissman MM, Orvaschel H, Padian N. Children's symptoms and social functioning on self-report scales. Journal of Nervous and Mental Disease. 1980;168:736-740. https://doi.org/10.1097/00005053-198012000-00005
  20. Heo MS, Lee SH, Kim YS. Developing the Korean version of the 11-item CES-DC. Mental Health and Social Work. 2017;45 (1):255-285. https://doi.org/10.24301/mhsw.2017.03.45.1.255
  21. Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt Impulsiveness Scale. Journal of Clinical Psychology. 1995;6:768-774. https://doi.org/10.1002/1097-4679(199511)51:6<768::aid-jclp2270510607>3.0.co;2-1
  22. Heo SY, Oh JY, Kim JH. The Korean version of the Barratt Impulsiveness Scale, 11th version: Its reliability and validity. Korean Journal of Psychology:General. 2012;31:769-782.
  23. Hoerger M, Quirk SW, Weed NC. Development and validation of the delaying gratification inventory. Psychological Assessment. 2011;23(3):725-738. https://doi.org/10.1037/a0023286
  24. Mcvoy M, Lytle S, Fulchiero E, Aebi ME, Adeleye O, Sajatovic M. A systematic review of quantitative EEG as a possible bio-marker in child psychiatric disorders. Psychiatry Research. 2019;279:331-344. https://doi.org/10.1016/j.psychres.2019.07.004
  25. Marzbani H, Marateb H, Mansourian M. Neurofeedback: A comprehensive review on system design, methodology and clinical applications. Basic Clinical Neuroscience. 2016;7(2):143-158. https://doi.org/10.15412/j.bcn.03070208
  26. Zobeiri M, Van Luijtelaar G, Budde T, Sysoev IV. The brain network in a model of thalamocortical dysrhythmia. Brain Connect. 2019;9(3):273-284. https://doi.org/10.1089/brain.2018.0621
  27. Mohagheghi A, Amiri S, Moghaddasi BN, Chalabianloo G, Noorazar SG, Tabatabaei SM, et al. A randomized trial of comparing the efficacy of two neurofeedback protocols for treatment of clinical and cognitive symptoms of ADHD: Theta suppression/beta enhancement and theta suppression/alpha enhancement. Biomedical Research International. 2017;1:1-7. https://doi.org/10.1155/2017/3513281
  28. Schabus M, Heib DP, Lechinger J, Griessenberger H, Klimesch W, Pawlizki A, et al. Enhancing sleep quality and memory in insomnia using instrumental sensorimotor rhythm conditioning. Biological Psychology. 2014;95:126-134. https://doi.org/10.1016/j.biopsycho.2013.02.020
  29. Choi JS. Insomnia treatment using Neurofeedback: EEG beta decrease protocol. Korean Journal of Clinical Psychology. 2017;36(3):351-368. https://doi.org/10.15842/kjcp.2017.36.3.006
  30. Linden DE. Neurofeedback and networks of depression. Dialogues in clinical neuroscience. 2014;16(1):103-112. https://10.31887/DCNS.2014.16.1/dlinden
  31. Shiffrin RM, Schneider W. Controlled and automatic human information processing: Perceptual learning, automatic attending and a general theory. Psychological Review. 1977;84(2):127-190. https://doi.org/10.1037/0033-295x.84.2.127
  32. Thibault RT, Macpherson A, Lifshitz M, Roth RR, Raz A. Neurofeedback with fMRI: A critical systematic review. Neuroimage. 2018;172:786-807. https://doi.org/10.1016/j.neuroimage.2017.12.071
  33. Murray J, Scott H, Connolly C, Wells A. The attention training technique improves children's ability to delay gratification: A controlled comparison with progressive relaxation. Behaviour Research and Therapy. 2018;104:1-6. https://doi.org/10.1016/j.brat.2018.02.003