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 Foundations of qEEG DVD Course

all the tapes  were recorded LIVE at a  workshop. They are NOT studio-produced. The content is superb and unique, but the quality is un-even. Often, student volunteers manned the video cameras. Our policy for all software and recordings is that they are not returnable. If there is a problem with a CD or DVD, it will be replaced.
Foundations of qEEG DVD Course 
Faculty:  M. Barry Sterman, Jay Gunkelman, Bill Hudspeth, Joel Lubar

Approximately 8 hours


M.Barry Sterman, Ph.D. Professor., UCLA School of Medicine

Introduction to Quantitative Topographic EEG Methods and Principles for Neurofeedback Applications

It has been over 70 years since the human EEG became the subject of serious research investigation and clinical application. For many years the EEG was used by a limited number of researchers and clinicians. EEG methods and concepts emerged slowly and were heavily influenced by an evolving set of conventional concepts and by a select group of established "authorities" who applied and defended them. However, today, the emergence of user-friendly computerized EEG systems has greatly expanded the number of professionals working with this tool. Together with an accelerated pace of neuro-physiological discoveries, this fact is beginning to significantly change the way we think about the EEG. In many respects a Kuhnian-type scientific revolution is underway in this field. At the present time the battlefield is still badly disorganized, with major skirmishes yet unresolved and rebel generals each pushing out in their own directions. The newcomer to this field will no doubt be confused by the dust being generated.
This course is directed to an objective examination of what the EEG is, what it tells us about the brain, how to properly obtain and evaluate topographic data, and how to use that information to most effectively apply the method of neurofeedback. It is designed to demonstrate the application of these principles and methods within the context of the SKIL Topometric analysis software system. This revolutionary software program will be described in detail, its guiding principles reviewed, and its critical use for client evaluation and associated neurofeedback strategy development demonstrated.

The course is not intended to provide instruction in clinical diagnosis. If we use this methodology in a clinical context, it is presumed that the patients we see arrive with prior medical diagnosis. It is likely, however, that the use of this methodology will refine diagnosis and focus attention on elements most relevant to neurofeedback.
Jay Gunkelman,
Foundations of qEEG for Neurofeedback
The physiological substrate of the qEEG will be reviewed quickly (approximately 30 minutes). This will include subcortical generators, cortical topography and the cortico-cortico tracts.
Based on this model of the brain's systems, the qEEG patterns associated with ADD/ADHD, LD, Trauma, OCD/ODD and Depression will be reviewed while discussing the definitions of the qEEG terms seen. The NF interventions for these pattewrns will be discussed. A handout summarizing the generalized types of profiles will be provided.
Bill Hudspeth
The Complete QEEG Examination
ABS: Complete qEEG evaluations require valid EEG measurements from which we can extract as many indices as are required to describe and understand a client's current cerebral status. As it works out, valid measurements begin with your amplifiers
(a) There may be a minimal number of required;
(b) measurements needed to assure the reliability-validity;
(c) of your entire test data and your conclusions. In addition, most of us use an arbitrary selection of data;
(d) that are demonstrably less useful than an empirical selection.
a) Can describe the characteristics of EEG amplifiers that optimize the validity of test results;
b) Can list and describe the rationale for including specific indices in the qEEG test battery;
c) Can describe the inter-relationships among EEG indices that assure the overall reliability of qEEG tests;
d) Can describe how an arbitrary selection of data indices may not fit most patients.