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The need for more modeling and theory in EEG/qEEG
Jay Gunkelman

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Phenotype evaluation of the EEG was proposed in a paper in 2005 published in Clinical Electroencephalography and Neurophysiology. The retrospective analysis of many decades of experience has since been actively evaluated, from published works focusing on basic neuroscience (J. Pop-Jordanov), and the work from Holland on medication response prediction (M. Arns).

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Recorded at the 2009 Annual Conference and Workshops of Applied Neuroscience Society of Australasia (ANSA): "From neuromodulation and neuroplasticity to biomarkers and nutrition". (ANSA), New Tweed Coast, August 2009

For more information visit: www.ansa.au.com

Jay Gunkelman

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TITLE	SPEAKER	DURATION
The need for more modeling and theory in EEG/qEEG	Jay Gunkelman	1:04'18
The need for more modelling and theory in EEG/qEEG (a)	Jay Gunkelman
The need for more modelling and theory in EEG/qEEG (b)	Jay Gunkelman
The need for more modelling and theory in EEG/qEEG (c)	Jay Gunkelman
The need for more modelling and theory in EEG/qEEG (d)	Jay Gunkelman
The need for more modeling and theory in EEG/qEEG	Jay Gunkelman

Jay Gunkelman

Starting in 1972 with the State Hospital based biofeedback laboratory, and then specializing in EEG for decades, Jay is one of the most experienced Clinical and research EEG/qEEG specialists in the world. Author of many scientific papers, and presentations, and a mounting list of books, he has a depth of understanding of the breadth of mind/brain's function, ranging from the harder neuroscience to involvement in consciousness research and EEG studies of healers.

Jay is currently the Past-President of the Biofeedback Society of California, and is a popular lecturer world-wide. Jay has occupied leadership positions in the field's professional societies (AAPB and ISNR), as well as having a successful international EEG/qEEG consulting business: Q-Pro Worldwide. Jay’s work in EEG “phenotypes” characterized the basic failure modes of the brain, and though this approach is not diagnostic, the 6 power of it is the prediction of effective therapeutic interventions based on the EEG phenotypes.

From the seminal publication in this area in 2005, Jay has been involved in research on clinical outcomes using the phenotype approach, with publication in the areas of NF for addiction, as well as in the area of medication response prediction in stimulants used for ADHD. The current research includes predicting SSRI/SNRI response in depression, as well as looking at some genetic correlation with the phenotype clusters with a SSRI response predicting genetic marker (COMT alleles). Other current work includes an integration of the vigilance model (Bente) and the phenotype model.

Jay also has developed an advanced model of mind/brain/consciousness that integrates the EEG and ERP data into a functioning model of how the brain works, including slow cortical potentials, gamma, and quantum effects such as “Nested Rhythms”.