|
|
Neurofeedback Treatment Study for ADHD by Using the Brain-Computer Interface Neurofeedback System |
LIU Tian1, WANG Jue1, CHEN Yan-ni1, 2, WANG Rong1, SONG Meng1 |
1. The Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, National Engineering Research Center of Health Care and Medical Devices, Shanxi Province Xi'an 710049, China 2. Maternal and Child Health Hospital, Shanxi Province Xi'an 710002, China |
|
|
Abstract Neurofeedback or electroencephalogram (EEG) biofeedback technology is widely used in clinical rehabilitation field. In this paper, we used a brain-computer interface (BCI) neurofeedback system for attention deficit hyperactivity disorder (ADHD) children treatment.After 20 training sessions, integrated visual and auditory-conhnuous performance test (IVA-CPT), DSM-IV and conner scale results suggested that the attention of subjects had been strengthened, which showed that the BCI neurofeedback system could provide an effective therapy for treating ADHD children.
|
Received: 20 April 2018
|
|
Fund:Produce-Study-Research program, Guangdong Province and Ministry of Education; grant number: 2008809050023 |
Corresponding Authors:
LIU Tian. E-mail: juewang@mail.xjtu.edu.cn
|
|
|
|
[1] Demos JN.Getting started with neurofeedback[J]. Computers in Physics, 2005, 11(5): 303-316. [2] Lubar JF, Shouse MN.EEG and behavioral changes in a hyperkinetic child concurrent with training of the sensorimotor rhythm (SMR): a preliminary report[J]. Biofeedback & Self-Regulation,1976, 1(3): 293-306. [3] Monastra VJ, Monastra DM, George S.The effects of stimulant therapy, EEG biofeedback and parenting style on the primarysymptoms of attention deficit/hyperactivity disorder[J]. Applied Psychophysiological Biofeedback, 2002, 27(4):231-249. [4] Vernon D, Frick A, Gruzelier J.Neurofeedback as a treatment for ADHD: A methodological review with implications for future research[J]. Journal of Neurotherapy, 2004, 8: 53-82. [5] Thornton KE, Carmody DP.Electroencephalogram biofeedback for reading disability and traumatic brain injury[J]. Child and Adolescent Psychiatric Clinics of North America, 2005, 14: 137-162. [6] Thornton KE, Carmody DP.Traumatic brain injury rehabilitation: QEEG biofeedback treatment protocols[J]. Applied Psychophysiology and Biofeedback, 2009, 34(1): 59-68. [7] Sterman MB, Tobias Egner.Foundation and practice of neurofeedback for the treatment of epilepsy[J]. Applied Psychophysiology and Biofeedback, 2006, 31(1): 21-35. [8] Hammond DC.QEEG-guided neurofeedback in the treatment of obsessive-compulsive disorder[J]. Journal of Neurotherapy, 2003, 7: 25-52. [9] Kropp P, Siniatchkin M, Gerber WD.On the pathophysiology of migraine-Links for "empirically based treatment" with neurofeedback[J]. Applied Psychophysiology and Biofeedback, 2002, 27(3): 203-213. [10] Trudeau DL.Applicability of brain wave biofeedback to substance use disorder in adolescence[J]. Child and Adolescent Psychiatric Clinics of North America, 2005, 14: 125-136. [11] Moore NC.A review of EEG biofeedback treatment of anxiety disorders[J]. Clinical Electroencephalography, 2000, 31: 1-6. [12] Vernon D, Egner T, Cooper N, et al.The effect of training distinct neurofeedback protocols on aspects of cognitive performance[J]. International Journal of Psychophysiology, 2003, 47: 75-85. [13] RossiterTR, La Vaque TJ. A comparison of EEG biofeedbackand psychostimulants in treating attention deficit/hyperactivity disorders[J]. Journal of Neurotherapy, 1995, 1: 48-49. [14] Seckler P, Burns W, Sandford J.A reliability study of IVA: intermediate visual and auditory continuous performance test[C]. Annual Convention of the National Resource on ADHD,1995. |
[1] |
Li Baoming, Hu Jiarui, Xu Haijun, Wang Cong, Jiang Yanni, Zhang Zhihong, Xu Jun. Deep Cascaded Network for Automated Detection of Cancer MetastasisRegion from Whole Slide Image of Breast Lymph Node[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 257-264. |
[2] |
Xu Jie, Wang Xunheng, Li Lihua. Investigating Brain Networks for ADHD Children Based on Phase Synchronization of Resting State fMRI[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 265-270. |
|
|
|
|