Dr. M. Barry Sterman, along with Dr. Sarah H. Lisanby, discuss neurofeedback and other brain imaging and treatment modalities during a live interview on WNYC.org public radio. The radio segment entitled, "Please Explain: Neurofeedback," is streamed online at no cost. Check the end of this report for a link to this interview. ...

Brain imaging and analysis continues to evolve and provide us with more information upon which to base our clinical decisions. Brodmann mapped the cortex according to types of neurons and their density in different cortical layers. The areas he numbered (1 to 52 in each hemisphere) followed the variations in the cellular architectures he observed. The Brodmann area information has been employed for more tha ...

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 lobe disturb ...

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 arou ...

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, Gunkel ...

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 quanti ...