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Quantitative EEG, event-related potentials and neurotherapy

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantitative EEG, event-related potentials and neurotherapy/ Juri D. Kropotov.
remainder title:	Quantitative electroencephalography, event-related potentials and neurotherapy
Author:	Kropotov, �I�U. D.
Published:	Amsterdam ;Elsevier/Academic, : 2009.,
Description:	lviii, 542 p. :ill. ;24 cm.
[NT 15003449]:	1. Slow and infra slow potentials, delta rhythms -- 2. Alpha rhythms -- 3. Beta rhythms -- 4. Frontal midline theta rhythm -- 5. Paroxysmal events -- 6. QEEG endophenotypes -- 7. QEEG during sleep -- 8. Methods of analysis of background EEG -- 9. Practice -- 10. Sensory systems -- 11. Attention networks -- 12. Executive system -- 13. Affective system -- 14. Memory systems -- 15. Methods: neuronal networks and ERPs -- 16. Practice -- 17. ADHD -- 18. Schizophrenia -- 19. Addiction -- 20. OCD -- 21. Depression -- 22. Alzheimer's disease -- 23. Methods of neurotherapy -- 24. Conclusion.
Subject:	Brain - Diseases -
Online resource:	http://www.sciencedirect.com/science/book/9780123745125An electronic book accessible through the World Wide Web; click for information
ISBN:	0123745128

Quantitative EEG, event-related potentials and neurotherapy
Kropotov, �I�U. D.

Quantitative EEG, event-related potentials and neurotherapy[electronic resource] /Quantitative electroencephalography, event-related potentials and neurotherapyJuri D. Kropotov. - 1st ed. - Amsterdam ;Elsevier/Academic,2009. - lviii, 542 p. :ill. ;24 cm.

Includes bibliographical references (p. 517-530) and index.

1. Slow and infra slow potentials, delta rhythms -- 2. Alpha rhythms -- 3. Beta rhythms -- 4. Frontal midline theta rhythm -- 5. Paroxysmal events -- 6. QEEG endophenotypes -- 7. QEEG during sleep -- 8. Methods of analysis of background EEG -- 9. Practice -- 10. Sensory systems -- 11. Attention networks -- 12. Executive system -- 13. Affective system -- 14. Memory systems -- 15. Methods: neuronal networks and ERPs -- 16. Practice -- 17. ADHD -- 18. Schizophrenia -- 19. Addiction -- 20. OCD -- 21. Depression -- 22. Alzheimer's disease -- 23. Methods of neurotherapy -- 24. Conclusion.

While the brain is ruled to a large extent by chemical neurotransmitters, it is also a bioelectric organ. The collective study of Quantitative ElectroEncephaloGraphs (QEEG-the conversion of brainwaves to digital form to allow for comparison between neurologically normative and dysfunctional individuals), Event Related Potentials (ERPs - electrophysiological response to stimulus) and Neurotherapy (the process of actually retraining brain processes to) offers a window into brain physiology and function via computer and statistical analyses of traditional EEG patterns, 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 method utilizing QEEG and ERPs. This research is then related back to practice and all existing approaches in the field of Neurotherapy - conventional EEG-based neurofeedback, brain-computer interface, transcranial Direct Current Stimulation, and Transcranial Magnetic Stimulation - are covered in full. Additionally, software for EEG analysis is provided on a companion web site 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. While it does not offer the breadth provided by an edited work, this volume does provide a level of depth and detail that a single author can deliver, as well as giving readers insight into the personl theories of one of the preeminent leaders in the field. Features & Benefits: provide a holistic picture of quantitative EEG and event related potentials as a unified scientific field. present a unified description of the methods of quantitative EEG and event related potentials. give a scientifically based overview of existing approaches in the field of neurotherapy provide practical information for the better understanding and treatment of disorders, such as ADHD, Schizophrenia, Addiction, OCD, Depression, and Alzheimer's Disease companion web site containing software which analyzes EEG patterns and database sample EEGs/ Reader can see actual examples of EEG patterns discussed in book and can upload their own library of EEGs for analysis.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2009.

Mode of access: World Wide Web.

ISBN: 0123745128

Source: 156933:157097Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

1052829
Brain
--DiseasesIndex Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: RC386.6.E43 / K76 2009

Dewey Class. No.: 616.8047547

National Library of Medicine Call No.: 2008 L-974

Quantitative EEG, event-related potentials and neurotherapy
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260 $a Amsterdam ; $a Boston ; $a London : $c 2009. $b Elsevier/Academic,
300 $a lviii, 542 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references (p. 517-530) and index.
505 0 $a 1. Slow and infra slow potentials, delta rhythms -- 2. Alpha rhythms -- 3. Beta rhythms -- 4. Frontal midline theta rhythm -- 5. Paroxysmal events -- 6. QEEG endophenotypes -- 7. QEEG during sleep -- 8. Methods of analysis of background EEG -- 9. Practice -- 10. Sensory systems -- 11. Attention networks -- 12. Executive system -- 13. Affective system -- 14. Memory systems -- 15. Methods: neuronal networks and ERPs -- 16. Practice -- 17. ADHD -- 18. Schizophrenia -- 19. Addiction -- 20. OCD -- 21. Depression -- 22. Alzheimer's disease -- 23. Methods of neurotherapy -- 24. Conclusion.
520 $a While the brain is ruled to a large extent by chemical neurotransmitters, it is also a bioelectric organ. The collective study of Quantitative ElectroEncephaloGraphs (QEEG-the conversion of brainwaves to digital form to allow for comparison between neurologically normative and dysfunctional individuals), Event Related Potentials (ERPs - electrophysiological response to stimulus) and Neurotherapy (the process of actually retraining brain processes to) offers a window into brain physiology and function via computer and statistical analyses of traditional EEG patterns, 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 method utilizing QEEG and ERPs. This research is then related back to practice and all existing approaches in the field of Neurotherapy - conventional EEG-based neurofeedback, brain-computer interface, transcranial Direct Current Stimulation, and Transcranial Magnetic Stimulation - are covered in full. Additionally, software for EEG analysis is provided on a companion web site 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. While it does not offer the breadth provided by an edited work, this volume does provide a level of depth and detail that a single author can deliver, as well as giving readers insight into the personl theories of one of the preeminent leaders in the field. Features & Benefits: provide a holistic picture of quantitative EEG and event related potentials as a unified scientific field. present a unified description of the methods of quantitative EEG and event related potentials. give a scientifically based overview of existing approaches in the field of neurotherapy provide practical information for the better understanding and treatment of disorders, such as ADHD, Schizophrenia, Addiction, OCD, Depression, and Alzheimer's Disease companion web site containing software which analyzes EEG patterns and database sample EEGs/ Reader can see actual examples of EEG patterns discussed in book and can upload their own library of EEGs for analysis.
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