Abstract
Neurofeedback is considered a promising therapy for boosting cognitive skills, which 10% of the US medical sector is using as a new training method among patients. Attention is a significant mechanism for learning and is essential for life in general. As the person grows up the level of responsibilities also increases, which needs high concentration in doing normal activities. To succeed in any activity, neurofeedback therapy needs to check brain waves to locate the problem in the brain and train it. This paper aims to review the attention deficit treatment based on neurofeedback using a systematic review method. The results found that the common features are the area of EEG (Frontal, central) in the brain, type of tools and software, time of training and the impact upon the trainer. Neurofeedback showed improvement of brain attention-ability for a longer time as well as reduction in recovery time in case of a disturbance interruption.
Highlights
Brain waves are made up of a set of signals divided into five waves, namely delta, theta, alpha, beta, and gamma, which are classified based on frequency [29]
The results presented in table 1, show entirely different and sometimes contradicted findings regarding the changes in waves alpha and theta
The findings showed a rise of absolute power in delta and theta frequencies in children, while there were no significant differences in adults compared to healthy subjects
Summary
Brain waves are made up of a set of signals divided into five waves, namely delta, theta, alpha, beta, and gamma, which are classified based on frequency [29]. The classifications of brain waves using electroencephalographic (EEG) separated bands based on frequency found that beta waves are used for focused mental work, attention, and sensory data processing. EEG is a non-invasive neuroimaging technique that has been employed broadly to study many resting states and cognitive processes in the brain [21]. Knowing the elements of the standard EEG is a prerequisite for obtaining expertise in analyzing an abnormal recording and describing the frequency bands and individual waveforms for the waking and sleeping states among adults [23].
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