he effects of neurofeedback on attention and sleep in individuals with and without ADHD or insomnia: a literature review

Abstract

Electroencephalography-Neurofeedbacktraining (E-NFT) is a method to support subjects in learning to self-regulate their own brain activity. Besides that E-NFT may improve cognitive functions in healthy people, it may improve symptoms in different disorders, such as Attention Deficit and Hyperactivity Disorder (ADHD) and insomnia. The evidence of E-NFT for the treatment of attention problems in ADHD is still under debate just as the suggested efficacy of E-NFT for reducing sleep problems in individuals suffering from insomnia and for improving attention and sleep in the general population. Therefore, this review examines the efficacy of E-NFT on attention and sleep in patients and healthy individuals. The reviewed literature provides evidence that standard E-NFT protocols may have a positive long-lasting effect on the inattention and hyperactivity/impulsivity symptoms in children with ADHD. In healthy children and young adults, E-NFT has been found to improve different aspects of attention and to reduce impulsivity. In addition, positive effects of E-NFT have been documented on sleep onset latency and on tiredness in healthy individuals. Sleep improvements have also been found in insomnia patients after standard E-NFT, although these subjective sleep improvements may likely depend on unspecific E-NFT training effects.