Research Status and Prospects of Using Brain-Computer Interface Neurofeedback Technology to Treat ADHD
DOI:
https://doi.org/10.61173/89gffy89Keywords:
Brain-computer interface, Neurofeedback, ADHDAbstract
ADHD is a common neurodevelopmental disorder that affects about 3%-6% of the global population. Traditional treatments such as medication may be effective, but long-term use may bring side effects. In recent years, eletroencephalography(EEG)-based neurofeedback therapy has become a research hotspot, but it still has its limitations. Therefore, it is of great significance to explore new brain-computer interface(BCI) neurofeedback technology for the treatment of ADHD. The purpose of this study was to explore the application status and prospect of BCI neurofeedback technology in the treatment of ADHD through a literature review and case analysis. The research progress of BCI neurofeedback technology in the treatment of ADHD was systematically reviewed, and its efficacy and safety were evaluated. In this study, relevant literature was collected at home and abroad to sort out the principle, technical implementation, and application of BCI neurofeedback technology in the treatment of ADHD. Subsequently, combined with specific cases, the actual effect of this technology in the treatment of ADHD was analyzed. BCI interface neurofeedback technology has shown good application prospects in the treatment of ADHD, and its non-drug and non-invasive characteristics help to reduce the side effects of traditional treatments. However, the technology is still in the development stage, and further research and optimization are needed to improve efficacy and popularity.
References
[1] LF Guo, SY Ma, Research progress in ADHD in children[J]. Chineses Journal of Nature, 1988, 01: 34-37.
[2] R.A. Barkley, M. Fischer, C.S. Edelbrock, L. Smallish, E. Nemeth, E. Sykes. The adolescent outcome of hyperactive children diagnosed by research criteria: I. An 8-year prospective follow-up study.J. Am. Acad Child Adolesc Psychiatry. 1990, 29, 546-557.
[3] J. Biederman, S. Faraone, S. Milberger,S. Curtis, L. Chen, A. Marrs, C. Ouell-ette, P. Moore, T. Spencer. (1996) Predictors of persistence and remission of ADHD into adolescence: results from a four-year prospective follow-up study. J Am Acad Child Adolesc Psychiatry. 1996, 35: 343-351.
[4] SV. Faraone, J. Biederman, D. Mennin, J. Gershon, MT. Tsuang. A prospective four-year follow-up study of children at risk for ADHD: psychiatric,neuropsychological, and psychosocial outcome. J Am Acad Child Adolesc Psychiatry. 1996, 35: 1449-1459
[5] S. Markovska-Simoska, N. Pop-Jordanova. Quantitative EEG Spectrum-weighted frequency (brain rate) distribution in adults with ADHD. CNS Spectr. 2011, 16: 111-119.
[6] A.Sharma , J. Couture. A Review of the Pathophysiology, Etiology, and Treatment of Attention-Deficit Hyperactivity Disorder (ADHD)[J].Annals of Pharmacotherapy. 2014, 48(2): 209-225.
[7] Q. Xing ,R.B.L. Yi, F.C. Xavier, et al. Brain-computerinterface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity Dean&Francis disorder.[J].Translational psychiatry. 2018, 8(1):149.
[8] Q.H. Song, G.D. Zhu, S.Z. Ji, effect of methylphenidate hydrochloride controlled-release tablets combined with biofeedback on clinical symptoms and EEG theta/beta ratio in children with attention deficit hyperactivity disorder [J]. Journal of Clinical Psychiatry, 2021, 31(02): 140-143.
[9] Martinsen, W. Egil, Haavik, et al. Effectiveness of one-year pharmacological treatment of adult attention-deficit/hyperactivity disorder (ADHD): An open-label prospective study of time in treatment, dose, side-effects and comorbidity[J]. European neuropsychopharmacology: the journal of the European College of Neuropsychopharmacology, 2014, 24(12).
[10] Y. Zhang, Research and application of adaptive attention adjustment method based on neurofeedback, [D]. Lanzhou University, 2021.001819.
[11] G.C. Lim, S.T. Lee, C. Guan, et al.A brain-computer interface based attention training program for treating attention deficit hyperactivity disorder.[J].PLoS ONE, 2017, 7(10): e46692.
[12] G.C. Lim,W.W.X. Poh, D.S.S Fung, et al.A randomized controlled trial of a brain-computer interface based attention training program for ADHD.[J].PLoS ONE, 2019, 14(5): e0216225- e0216225.
[13] C.X. Xu, Q. Zhuang. The relationship between ADHD symptoms and the use of short video questions in adults : structure equation model analysis.[C]// Abstract Collection of the 25th National Conference on Psychology of the Chinese Psychological Society. 2023, 057466.
[14] J.F. Lubar, M.N.J.B. Shouse, Self-regulation, 1976. EEG and Behavioral Changes in a Hyperkinetic Child Concurrent with Training of the Sensorimotor Rhythm (SMR), 1976, 1: 293–306.
[15] M.N.J.B. Shouse, J.F. Lubar, Operant conditioning of EEG rhythms and ritalin in the treatment of hyperkinesis. Biofeedback and Self-Regulation. 1979, 4: 299–312.
[16] R. Ebrahim, M. Azadeh, A. Aida, et al. Is neurofeedback effective in children with ADHD? A systematic review and metaanalysis.[J].Neurocase, 2022, 28(1): 11-12.
[17] K. Elizaveta, V.A.V. Petteri, A. Ruhoollah, et al. Evaluation of Neurofeedback Learning in Patients with ADHD: A Systematic Review.[J]. Applied psychophysiology and biofeedback, 2022, 48(1): 11-25.
[18] N. Ahmed, P. Saxby, A. Salem, et al.ADHD-A Clinician’s Bird’s Eye View of Current Status and New Vistas![J]. Psychopharmacology bulletin, 2023, 53(1): 46-54.
[19] F. Xiao, Development status, problems and prospects of brain-computer interface technology[J]. People’s forum, 2023, 16: 34-39.
[20] G.M.S. Mohammed, S. Lyudmila.Clinical efficacy of neurofeedback protocols in treatment of Attention Deficit/ Hyperactivity Disorder (ADHD): A systematic review.[J]. Psychiatry research. Neuroimaging, 2023, 335: 111723-111723.
[21] X.T. Sun, Effect of EEG biofeedback therapy combined with methylphenidate hydrochloride in the treatment of children with attention deficit hyperactivity disorder[J]. China Minkang Medicine, 2024, 36(01): 88-91.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 by the authors.

This work is licensed under a Creative Commons Attribution 4.0 International License.
