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Neurofeedback: Retrain the Brain
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Author(s): Meena Gupta (North-Eastern Hill University Shillong, India)and Dinesh Bhatia (North-Eastern Hill University Shillong, India)
Copyright: 2019
Pages: 13
Source title:
Early Detection of Neurological Disorders Using Machine Learning Systems
Source Author(s)/Editor(s): Sudip Paul (North-Eastern Hill University Shillong, India), Pallab Bhattacharya (National Institute of Pharmaceutical Education and Research (NIPER) Ahmedabad, India)and Arindam Bit (National Institute of Technology Raipur, India)
DOI: 10.4018/978-1-5225-8567-1.ch002
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Abstract
Neurofeedback (NF) is a type of brain wave training based on operant learning. NF has been employed in research and clinical settings for the investigation and treatment of a growing number of psychological illnesses. This technique involves detection of electroencephalographic (EEG) information from the surface of the scalp of a subject by separating its frequency decomposition into its component waveform (alpha, beta, theta, gamma, and delta) and making these components visible usually as polygraphic traces on a computer screen. Neurofeedback is being considered as a promising new method for restoring brain function in a large number of mental disorder cases. NF takes into account behavioral, cognitive, and subjective aspects as well as the brain activity of the concerned individual. About 25 years ago, NF was employed for clinical and research purposes in psychological illness. These psychological illnesses include attention deficit disorder, addiction to drug, depression, stress, and eating disorders.
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