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At least 40 million Americans each year suffer from chronic, long-term, sleep disorders. An additional 20 million experience occasional sleep problems.Neurofeedback is a powerful tool for helping people fall asleep and stay asleep. Over 3,000 licensed health professionals such as psychologists, therapists, and doctors now use this new technology daily with patients. As a group, they report significant and consistent improvements for client sleep problems.Many brain training options can help as well as making lifestyle changes and changes in sleep “hygiene”. A skilled neurofeedback clinician can review many different options with clients to help them assess what’s most appropriate for their problem, including several brain regulating technologies such as Alpha-Stim and Brain Music.
Case Studies On Sleep Disorders
Neurofeedback in ADHD and insomnia: Vigilance stabilization through sleep spindles and circadian networks. [link]Arns M, Kenemans JL.www.ncbi.nlm.nih.gov/pubmed/23099283
In this review article an overview of the history and current status of neurofeedback for the treatment of ADHD and insomnia is provided. Recent insights suggest a central role of circadian phase delay, resulting in sleep onset insomnia (SOI) in a sub-group of ADHD patients. Chronobiological treatments, such as melatonin and early morning bright light, affect the suprachiasmatic nucleus. This nucleus has been shown to project to the noradrenergic locus coeruleus (LC) thereby explaining the vigilance stabilizing effects of such treatments in ADHD. It is hypothesized that both Sensori-Motor Rhythm (SMR) and Slow-Cortical Potential (SCP) neurofeedback impact on the sleep spindle circuitry resulting in increased sleep spindle density, normalization of SOI and thereby affect the noradrenergic LC, resulting in vigilance stabilization. After SOI is normalized, improvements on ADHD symptoms will occur with a delayed onset of effect. Therefore, clinical trials investigating new treatments in ADHD should include assessments at follow-up as their primary endpoint rather than assessments at outtake. Furthermore, an implication requiring further study is that neurofeedback could be stopped when SOI is normalized, which might result in fewer sessions.
The treatment of psychophysiologic insomnia with biofeedback: a replication study. [link]Hauri PJ, Percy L, Hellekson C, Hartmann E, Russ Dwww.ncbi.nlm.nih.gov/pubmed?cmd=Retrieve&list_uids=7138954&dopt=Citation+
ABSTRACT: To replicate a previous study, 16 psychophysiological insomniacs were randomly assigned to either Theta feedback or sensorimotor rhythm (SMR) feedback. Evaluations by home sleep logs and by 3 nights in the laboratory were done before biofeedback, immediately after biofeedback, and 9 months later. Results from this study replicate previous findings. Both Theta and SMR feedback seemed effective treatments of insomnia according to home sleep logs. According to evaluations at the sleep laboratory, tense and anxious insomniacs benefited only from Theta feedback but not from SMR feedback, while those who were relaxed at intake but still could not sleep benefited only from SMR but not from Theta feedback.
EEG Slow (∼1 Hz) Waves Are Associated With Nonstationarity of Thalamo-Cortical Sensory Processing in the Sleeping Human [link]Marcello Massimini, Mario Rosanova, and Maurizio Mariottiwww.jn.physiology.org/content/89/3/1205.full
Intracellular studies reveal that, during slow wave sleep (SWS), the entire cortical network can swing rhythmically between extremely different microstates, ranging from wakefulness-like network activation to functional disconnection in the space of a few hundred milliseconds. This alternation of states also involves the thalamic neurons and is reflected in the EEG by a slow (<1 Hz) oscillation. These rhythmic changes, occurring in the thalamo-cortical circuits during SWS, may have relevant, phasic effects on the transmission and processing of sensory information. However, brain reactivity to sensory stimuli, during SWS, has traditionally been studied by means of sequential averaging, a procedure that necessarily masks any short-term fluctuation of responsiveness. The aim of this study was to provide a dynamic evaluation of brain reactivity to sensory stimuli in naturally sleeping humans. To this aim, single-trial somatosensory evoked potentials (SEPs) were grouped and averaged as a function of the phase of the ongoing sleep slow (<1 Hz) oscillation. This procedure revealed a dynamic profile of responsiveness, which was conditioned by the phase of the spontaneous sleep EEG. Overall, the amplitude of the evoked potential changed sistematically, increasing and approaching wakefulness levels along the negative slope of the EEG oscillation and decaying below SWS average levels along the positive drift. These marked and fast changes of stimulus-correlated electrical activity involved both short (N20) and long latency (P60 and P100) components of SEPs. In addition, the observed short-term response variability appeared to be centrally generated and specifically related to the evolution of the spontaneous oscillatory pattern. The present findings demonstrate that thalamo-cortical processing of sensory information is not stationary in the very short period (approximately 500 ms) during natural SWS.
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