Brain Inconspicuous Effect by Local Sinusoidal Extremely Low Frequency Magnetic Exposure Based on Wavelet Packet Analysis: Innovation in Online Passive Neurofeedback Therapy by the Neuro-LSELF System

Özet

Neurofeedback (NF) is a training approach that aims to reinforce brain activity by using the information of human electroencephalogram (EEG) rhythms as a feedback. In addition, some studies have reported Extremely Low Frequency (0–300 Hz, intensity<500 mT) Magnetic Field (ELF MF) effects upon the EEG and its rhythms. The purpose of this study is to determine if an approach that combines the effects of Local Sinusoidal Extremely Low Frequency Magnetic Fields (LSELF MF) with NF yields higher performance on desired NF goals. The NF protocol used in this study consisted of enhancement of the beta rhythm and inhibition of
theta and high beta rhythms in exposed and sham groups for the  purpose of improving attention. Twenty-four healthy subjects of at least average intelligence attended 10 sessions of NF training. Sixteen of them were exposed to 45 Hz sinusoidal ELF (360 mT) at F3 to lead to the  desired LSELF MF effects on Cz. Wavelet packet analysis was used for the detection of changes in EEG rhythms. Results suggest that, compared to sham exposure, LSELF magnetic waves can significantly affect and modulate brainwaves according to this new neurofeedback
approach. In comparison to sham exposure, improved ability to attend (as measured by a decrease in the theta-to-beta ratio) was observed when LSELF MF was combined with NF (p<.05). The hypothesis that LSELF MF can affect the theta-to-beta ratio was confirmed. These effects occurred after approximately 10 min of each NF procedure. This study aimed to pilot a new NF system known as the Neuro-ELF system, a method that may allow for more effective control of brainwave activity. However, we suggest that the effects of LSELF-NF require further research.