Neurofeedback, Self-Regulation, and Brain Imaging: Clinical Science and Fad in the Service of Mental Disorders
Author(s) -
Robert T. Thibault,
Michael Lifshitz,
Niels Birbaumer,
Amir Raz
Publication year - 2015
Publication title -
psychotherapy and psychosomatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.531
H-Index - 98
eISSN - 1423-0348
pISSN - 0033-3190
DOI - 10.1159/000371714
Subject(s) - neurofeedback , psychology , neuroscience , sketch , functional magnetic resonance imaging , mental health , neuroimaging , psychotherapist , brain–computer interface , electroencephalography , psychiatry , computer science , algorithm
Neurofeedback draws on multiple techniques that propel both healthy and patient populations to self-regulate neural activity. Since the 1970s, numerous accounts have promoted electroencephalography-neurofeedback as a viable treatment for a host of mental disorders. Today, while the number of health care providers referring patients to neurofeedback practitioners increases steadily, substantial methodological and conceptual caveats continue to pervade empirical reports. And yet, nascent imaging technologies (e.g., real-time functional magnetic resonance imaging) and increasingly rigorous protocols are paving the road towards more effective applications and a better scientific understanding of the underlying mechanisms. Here, we outline common neurofeedback methods, illuminate the tenuous state of the evidence, and sketch out future directions to further unravel the potential merits of this contentious therapeutic prospect.
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