1
Department of Biomedical Engineering, Semnan University, Semnan, Iran
2
Assistant Prof, Department of Electrical Engineering, Shams Higher Education Institute, Gorgan, Iran
Abstract
Treatment of conditions such as attention deficit disorder through visual neurofeedback not only mitigates the side effects associated with medications, but also confers the brain with the ability to regulate its own functions. Numerous studies utilize visual neurofeedback of standard EEG bands, particularly beta band, to treat attention deficit. These studies claim that such neurofeedback protocols only regulate brain function and have the greatest impact on the 0.5 to 1.5 Hz EEG band. Therefore, this study examines the effects of visual neurofeedback on the 0.5 to 1.5 Hz band to enhance the visual attention of normal adult subjects. Two neurofeedback training protocols were utilized, namely the relative beta-I band power and fractal dimension, to train subjects in 12 sessions with a 15-minute interval. Evaluation of visual attention in subjects was conducted using the Test of Variables of Attention (TOVA), and the results revealed that both protocols significantly improved the visual attention of subjects (DRT = 37.3 ms and 19.6 ms for the beta-I protocol and fractal dimension protocol, respectively). Evaluation of visual attention in subjects was conducted using the Test of Variables of Attention (TOVA), and the results revealed that both protocols significantly improved the visual attention of subjects (DRT = 37.3 ms and 19.6 ms for the beta-I protocol and fractal dimension protocol, respectively). Additionally, the data show that the relative band power of 0.5 to 1.5 Hz decreased significantly in all subjects during the 12 training sessions (DRP = 1.19±0.36 and 0.63±0.39 for the beta-I protocol and fractal dimension protocol, respectively). It suggests that this band may be an effective method to enhance visual attention in visual neurofeedback or eye biofeedback to reduce eye movements.
Yaghoobi Karimi, R., Azadi, S., & Rahmani Seryasat, O. (2023). Studying the influences of Visual Neurofeedback below the range of δ frequency band. Transactions on Machine Intelligence, 6(1), 1-10.
MLA
R. Yaghoobi Karimi; S. Azadi; O. Rahmani Seryasat. "Studying the influences of Visual Neurofeedback below the range of δ frequency band". Transactions on Machine Intelligence, 6, 1, 2023, 1-10.
HARVARD
Yaghoobi Karimi, R., Azadi, S., Rahmani Seryasat, O. (2023). 'Studying the influences of Visual Neurofeedback below the range of δ frequency band', Transactions on Machine Intelligence, 6(1), pp. 1-10.
VANCOUVER
Yaghoobi Karimi, R., Azadi, S., Rahmani Seryasat, O. Studying the influences of Visual Neurofeedback below the range of δ frequency band. Transactions on Machine Intelligence, 2023; 6(1): 1-10.
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