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Attention Deficit Disorder / Attenion Decifit Hyperactive Disorder
Electroencephalographic Biofeedback in the Treatment of Attention-Deficit/Hyperactivity Disorder
By: Vincent J. Monastra, Steven Lynn, Michael Linden, Joel F. Lubar, John Gruzelier, and Theodore J. LaVaque
Without effective treatment, children and adolescents with ADHD are at greater risk to develop academic, behavioral, mood, and anxiety disorders (Biederman et al., 1996), incur accidental injury (Hartsough & Lambert, 1985; Lahey et al., 1998), and struggle with substance abuse disorders (Claude & Firestone, 1995; Mannuzza et al., 1991). Similarly, when not systematically treated, adults with a childhood history of ADHD have academic histories marked by lower average marks, more expulsions, a higher rate of retention in a grade, and fewer completed grades (Weiss & echtman, 1993; Mannuzza et al., 1993, 1998). These patients are more likely to have a higher incidence of substance abuse, psychiatric disorders, and criminal behavior, and have an employment history of more jobs, more frequent “layoffs” and an overall job status that was lower than that of peers of similar intelligence without ADHD (Weiss & Hechtman, 1993; Murphy & Barkley, 1996). Read More
The Role of Neurofeedback in the Treatment of ADHD
By: Dr. David Rabiner
Neurofeedback - also known as EEG Biofeedback - is an approach for treating ADHD that has been studied and practiced for a number of years. In neurofeedback treatment, individuals are provided with real-time feedback about their brainwave activity and taught to use that information to modulate certain aspects of their minds. As a treatment for ADHD, neurofeedback is based on findings that measurements of brain activity in many individuals with ADHD indicate reduced activity in the prefrontal region and frontal lobes (cortical slowing). Neurofeedback treatment is designed to train individuals to increase the production of brainwave patterns that reduce or eliminate this cortical slowing, and thus reduce or eliminate many associated ADHD symptoms. Read More
EEG biofeedback in the treatment of attention deficit hyperactivity disorder symptoms.
By: Friel PN.
Electroencephalogram (EEG) biofeedback, also known as neurofeedback, is a promising alternative treatment for patients with attention deficit/hyperactivity disorder (AD/HD). EEG biofeedback therapy rewards scalp EEG frequencies that are associated with relaxed attention, and suppresses frequencies associated with under- or over-arousal. In large-scale clinical trials, the efficacy of EEG biofeedback for AD/HD is comparable to that of stimulant medications. Many different EEG biofeedback protocols for AD/HD are available. Single-channel protocols developed by Lubar and interhemispheric protocols developed by the Othmers are widely practiced and supported by large-scale clinical studies. Read More
Applicability of brain wave biofeedback to substance use disorder in adolescents
By: David L. Trudeau, MD
Attempting a review paper on the use of neurofeedback in adolescent addictions is difficult. There is practically no literature on the use of neurofeedback in adolescent addictions, and the only information available comes from studies published on adult addiction treatment. Brain wave biofeedback (sometimes called neurofeedback or neurotherapy) has been studied as a method for treatment of addictive disorders in adults over the past 15 years or so, with a slowly accumulating body of evidence supporting its use in different circumstances. Several recent reviews [1,2] have detailed the literature regarding its use and development of neurotherapy for addictive disorders and are not repeated here, except in a general way to introduce the reader to the technique and specifically discuss its applicability to child and adolescent psychiatry. Although neurofeedback is an attractive technique for treating addictive disorders because it is medication free and compatible with other therapies, it also appeals to persons interested in alternative treatments. It has applicability in difficult-to-treat groups, such as stimulant abusers [3–5], incarcerated felons , and chronic treatment-resistant alcoholics [7,8]. Neurotherapy for addictions has several disadvantages in that it is labor intensive (20 to 30 half-hour sessions), requires special equipment ($2,000–$5,000 cost) and training, and lacks large randomized clinical trials for validation. Most authors describe enduring effects, and in the case of addictions treatment, long-term follow-ups have been done. Read More
Neurofeedback with anxiety and affective disorders
By: Cory Hammond, PhD
Compelling evidence exists for a neurophysiologic basis for obsessive-compulsive disorder (OCD). A large number of positron emission tomographic and single photon emission computed tomographic studies have found increased blood flow and metabolism in the mediofrontal, anterior cingulate, right frontal, or orbitofrontal areas.
Strong research evidence also indicates that there are functional brain abnormalities associated with anxiety and panic disorder and posttraumatic stress disorder (PTSD) Read More
Assessment-Guided Neurofeedback for Autistic Spectrum Disorder
By: Robert Coben, PhD and Ilean Padolsky, PhD
In recent years, Autistic Spectrum Disorder (ASD) has shown a dramatic increase in prevalence. A review of prevalence survey research for ASD (identified by DSM-IV criteria for Autism, Asperger’s Syndrome, and Pervasive Developmental Disorder-Not Otherwise Specified) across the United States and the United Kingdom reported rates of ASD substantially increased from prior surveys indicating 5 to 10 per 10,000 children to as high as 50 to 80 per 10,000 (equivalent to a range of 1 in 200 to 1 in 125 children with ASD) (Blaxill, 2004). Another review of research on the epidemiology of Autism (Medical Research Council, 2001) indicated that approximately 60 per 10,000 children (equivalent to a range of 1 in 166 children) are diagnosed with Autistic Spectrum Disorder. Read More
QEEG in Autistic Disorders: Power and Connectivity Analyses
By: Robert Coben,PhD
Previous EEG/QEEG Findings
• Cantor et al. (1986) – Maturational delay, including excess slow wave activity, greater coherence and less assymetry.
• Ogawa et al. (1982) – Signs of diminished hemispheric lateralization, excessive bilateral frontal alpha activity.
• Dawson et al. (1982) – EEG signs of reversed lateralization in 30%.
• Hashimoto et al. (2001) – Spike discharges frequent in frontal regions.
Connectivity-Guided Neurofeedback for Autistic Spectrum Disorder
By: Robert Coben,PhD
Research on autistic spectrum disorder (ASD) has shown related symptoms to be the result of brain dysfunction in multiple brain regions. Functional neuroimaging and electroencephalography research have shown this to be related to abnormal neural connectivity problems. The brains of individuals with ASD show both areas of excessively high connectivity and areas with deficient connectivity. This article reviews emerging evidence that neurofeedback guided by connectivity data can remediate these connectivity anomalies leading to symptom reduction and functional improvement. This evidence raises the hopes for a behavioral, psychophysiological intervention moderating the severity of ASD. Both empirical data and a case example are presented to exemplify this approach. Read More
Positive Outcome With Neurofeedback Treatment In a Case of Mild Autism
By: Arthur G. Sichel, Lester G. Fehmi, and David M. Goldstein
This article looks at the experience of Frankie, an autistic 8 and 1/2 year old boy. He was diagnosed mildly autistic by several specialists. One specialist claimed he was brain damaged and "autistic-like " and that there was no hope for improvement. At Frankie's mother's request, neurotherapy diagnosis and treatment was begun. After 31 sessions, Frankie showed Positive changes in all the diagnostic dimensions defining autism in DSM-111-P, This has profound implications for treatment in a field with few low-risk alternatives. Read More
Neurofeedback Helps Those With Autistic Disorders, Study Finds
By: Science Daily
ScienceDaily (Feb. 28, 2008) — Research on autistic spectrum disorder (ASD) shows that neurofeedback (EEG biofeedback) can remediate anomalies in brain activation, leading to symptom reduction and functional improvement. This evidence raises the hopes for a behavioral, psychophysiological intervention moderating the severity of ASD. Read More
Current Status of QEEG and Neurofeedback in the Treatment of Clinical Depression
By: Jonathan Walker, MD, Robert Lawson, MS
Depression is an almost universal experience. Fortunately, it usually remits spontaneously after a period of time. Unfortunately, it does not spontaneously remit in many individuals, and they are diagnosed as being ‘clinically” depressed, requiring treatment to be able to have an acceptable quality of life and be able to work. Several depression subtypes have been defined based on their semiology. Read More
EEG Patterns and Chronic Fatigue Syndrome
By: Thomas H. Budzynski, Ph.D
This study examined the relationship between EEG recordings of 28 females with Chronic Fatigue Syndrome (CFS) and age matched controls of the same gender. CFS subjects' EEG recordings were also compared to their responses on the Profile of Fatigue Related Symptoms, and two questionnaires developed specifically for this study.Read More
Treatment of Fibromyalgia Incorporating EEG-Driven Stimulation
By: Horst H. Mueller
Thirty patients from a private clinicai practice who met the 1990 American College of Rheumatology criteria for fibromyalgia syndrome (FS) were followed prospectively through a brainwave-based intervention known as electroencephalograph (EEG)-driven stimulation or EDS. Read More
Neurofeedback: A Non-Invasive Treatment for Seizure Disorders
By: Robert Coben, PhD
Review of epilepsy research
• Sterman (2000) conducted a meta-analysis of 30 years of epilepsy research
• 82% showed clinical improvement (> 30% reduction in seizures)
• There was an average of 60% symptom reduction (intensity and frequency)
Prediction of longitudinal cognitive decline in normal elderly with subjective complaints using electrophysiological imaging.
By: L.S. Prichep, E.R. John
An extensive literature reports changes in quantitative electroencephalogram (QEEG) with aging and a relationship between magnitude of changes and degree of clinical deterioration in progressive dementia. Longitudinal studies have demonstrated QEEG differences between mild cognitively impaired (MCI) elderly who go on to decline and those who do not. This study focuses on normal elderly with subjective cognitive complaints to assess the utility of QEEG in predicting future decline within 7 years. Read More
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