Quantitative EEG, Event-Related Potentials and Neurotherapy

Aims to offer a window into brain physiology and function via computer and statistical analyses of traditional EEG patterns. This volume provides detailed description of the various EEG rhythms and ERPs, the conventional analytic methods such as spectral analysis, and the method utilizing QEEG and ERPs.

Auteur
Juri D. Kropotov is the former president of the European Chapter of ISNR and the developer of the Mitsar-201 and 202 EEG amplifiers. Author of over 200 scientific papers and 9 books, he has three doctorates in theoretical physics, philosophy, and neurophysiology. He received the USSR State Prize in 1985, and the Copernicus Prize by the Polish Neuropsychological Society in 2009. His 2009 book Quantitative EEG: Event-Related Potentials and Neurotherapy received the award for the year's most significant publication in the field of neurofeedback from the Foundation for Neurofeedback and Applied Neuroscience.

Texte du rabat

While the brain is ruled to a large extent by chemical neurotransmitters, it is also a bioelectric organ. The collective study of QEEGs, ERPs and Neurotherapy offers a window into brain physiology and function via computer and statistical analyses, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior.
The volume provides detailed description of the various EEG rhythms and ERPs, the conventional analytic methods such as spectral analysis, and the emerging methods utilizing QEEG and ERPs. This research is then related directly back to practice and all existing approaches in the field of Neurotherapy are covered in full. Software for EEG analysis is provided on CD so that the theory can be practically utilized on the spot, and a database of the EEG algorithms described in the book can be combined with algorithms uploaded by the user in order to compare dysfunctional and normative data.
Providing a level of depth and detail far beyond that present in the other works on this topic, the volume will deliver unique insight into the theories of one of the preeminent leaders in the field.

Contenu

1. Slow and infra slow potentials, delta rhythms2. Alpha rhythms3. Beta rhythms4. Frontal midline theta rhythm5. Paroxysmal events6. QEEG endophenotypes7. QEEG during sleep8. Methods of analysis of background EEG9. Practice10. Sensory systems11. Attention networks12. Executive system13. Affective system14. Memory systems15. Methods: neuronal networks and ERPs16. Practice17. ADHD18. Schizophrenia19. Addiction20. OCD21. Depression22. Alzheimer's disease23. Methods of neurotherapy24. Conclusion