The Brain In A Bucket
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It is a long, slow slog to treat major depression. Many antidepressant medications are available, but no single biomarker or diagnostic test exists to predict which one is right for an individual. As a result, for more than half of all patients, the first drug prescribed doesn’t work, and it can take months to figure [...]
Using QEEG technology, researchers have identified a left frontotemporal dysfunction in persons who suffer from Obsessive-Compulsive Disorder, better known as OCD*. Persons with OCD have disturbing recurrent thoughts, as well as compulsive behaviors that are difficult to suppress and provide temporary relief from anxiety. The authors note that previous research has generally suggested a frontal [...]
Researchers compared the quantitative EEGs (QEEG) of 26 children with a history of stuttering to 21 age matched controls with no stuttering and may have identified important “EEG markers” of pediatric stuttering*. The authors’ epidemiological review of pediatric stuttering finds that this disorder afflicts approximately 1% of prepubertal children typically between 2 to 7 years of age with an peak onset around 3 to 4 years old with boys being 3 times more susceptible to this disorder.
Part 1 of this series provided a basic introduction to and a list of the 11 candidate electroencephalography (EEG) phenotypes, while Part 2 covered 5 of 11 EEG phenotypes. Part 3 details the remaining 6 EEG phenotypes with some final thoughts and a wrap up of this popular series. As detailed beforehand, the phenotypes and their implications for neurofeedback mostly draw from the writings of Johnston, Gunkelman, & Lunt (2005), Gunkelman (2006), and Arns, Gunkelman, Breteler, & Spronk (prepublication). All references to scalp locations are based on the International 10/20 System. Fisher & Cordova (2006) provide an excellent descriptive overview of the International 10/20 System complete with magnetic resonance imaging (MRI) pictures of corresponding physical locations.
In Part 1 of this series, I provided an introduction to and overview of the candidate EEG phenotypes as proposed by Johnstone, Gunkelman, & Lunt (2005). Readers may want to first view Part 1 to better understand the current discussion. Part 2 provides a detailed description of 5 of the 11 candidate EEG phenotypes along [...]
Researchers* recently proposed the existence of numerous EEG phenotypes. EEG phenotypes were derived through Johnston, Gunkelman, & Lunt’s (2005) extensive clinical experience and the observation that similar EEG patterns recur in persons with different psychological disorders. EEG phenotypes are a useful method of EEG pattern categorization that requires visual inspection the raw EEG, and often, the quantitative EEG (QEEG).
