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Presenter: Thomas Collura, PhD
This oral presentation will provide an overview of the use of quantitative EEG (QEEG) in clinical practice. Emphasis will be placed on mental health applications. The basic functions of the human brain in relation to EEG will be described. Specific EEG components (frequency bands) will be explained, as well as the anatomical basis of EEG rhythms. Material will be drawn from published articles and books, and will emphasize current knowledge. The relationships of EEG amplitude and phase, connectivity, and brain activation will be described. From a basic knowledge of physiology and anatomy, the relevant clinical signs and symptoms can be put into context, and used to create treatment planning. The use of normative reference databases will be explained, as well as relevant inclusion and exclusion criteria for creating clinically relevant databases. Signal processing concepts will also be introduced, including frequency analysis, use of summary maps and other graphical tools, and z-scores. The relationship between EEG, QEEG, and neurofeedback will be explained in detail, and put into a clinical framework that can be applied by diverse practitioners. The historical, scientific, and medical background of these topics will also be described, and specific examples of key research and clinical activities will be presented. In order to ensure a foundational approach, the basic theory of neuronal electrophysiology, volume conduction, EEG amplification, and signal processing will be described at a level accessible to mental health and medical practitioners. Relevant specifications and performance criteria for instrumentation and software will also be described, providing a grasp of the capabilities and limits of modern technology. A variety of clinical case studies will be used to illustrate key concepts, and to demonstrate the utility of these approaches in the medical and mental health practice areas. The importance of recognizing individual differences, peak performance traits, and coping and compensatory mechanisms will also be covered, including the concepts of phenotypes and individual brain optimization strategies.