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Quantitative EEG, event-related potentials and neurotherapy [electronic resource] / 1st ed

Quantitative EEG, event-related potentials and neurotherapy [electronic resource] / 1st ed

Material type
E-Book(소장)
Personal Author
Kropotov, I͡U. D. (I͡Uriĭ Dmitrievich).
Title Statement
Quantitative EEG, event-related potentials and neurotherapy [electronic resource] / Juri D. Kropotov.
판사항
1st ed.
Publication, Distribution, etc
Amsterdam ;   Boston ;   London :   Elsevier/Academic,   2009.  
Physical Medium
1 online resource (lviii, 542 p.) : ill.
기타형태 저록
Print version:   Kropotov, I͡U. D.(I͡Uriĭ Dmitrievich).   Quantitative EEG, event-related potentials and neurotherapy.   1st ed.   Amsterdam ; Boston ; London : Elsevier/Academic, 2009   9780123745125   0123745128   (211009) 000045785026  
ISBN
9780080922973 (electronic bk.) 008092297X (electronic bk.)
요약
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references (p. 517-530) and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Electroencephalography. Brain --Diseases --Treatment. Mental illness --Treatment. Evoked Potentials.
Short cut
ScienceDirect   URL
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100 1 ▼a Kropotov, I͡U. D. ▼q (I͡Uriĭ Dmitrievich).
245 1 0 ▼a Quantitative EEG, event-related potentials and neurotherapy ▼h [electronic resource] / ▼c Juri D. Kropotov.
246 3 ▼a Quantitative electroencephalography, event-related potentials and neurotherapy
250 ▼a 1st ed.
260 ▼a Amsterdam ; ▼a Boston ; ▼a London : ▼b Elsevier/Academic, ▼c 2009.
300 ▼a 1 online resource (lviii, 542 p.) : ▼b ill.
500 ▼a Title from e-Book title page.
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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Electroencephalography.
650 0 ▼a Brain ▼x Diseases ▼x Treatment.
650 0 ▼a Mental illness ▼x Treatment.
650 2 ▼a Evoked Potentials.
776 0 8 ▼i Print version: ▼a Kropotov, I͡U. D.(I͡Uriĭ Dmitrievich). ▼t Quantitative EEG, event-related potentials and neurotherapy. ▼b 1st ed. ▼d Amsterdam ; Boston ; London : Elsevier/Academic, 2009 ▼z 9780123745125 ▼z 0123745128 ▼w (211009) 000045785026
856 4 0 ▼3 ScienceDirect ▼u https://oca.korea.ac.kr/link.n2s?url=http://www.sciencedirect.com/science/book/9780123745125
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 616.8047547 Accession No. E14003114 Availability Loan can not(reference room) Due Date Make a Reservation Service M

Contents information

Table of Contents

Front Cover; Quantitative EEG, Event-Related Potentials and Neurotherapy; Copyright Page; Contents; Preface; Acknowledgments; Introduction: Basic Concepts of QEEG and Neurotherapy; I. Glossary; II. The Place of EEG in Neuroscience and Medicine; A. Goals of Neuroscience; B. Goals of Psychiatry and Neurology; C. Phenotype and Genotype; D. MEG as a Complementary Method to EEG; E. MRI; F. PET; G. Functional MRI; H. Polarographic Recording of Brain Oxygen; III. From Neuronal Spikes Through Local Field Potentials to Scalp EEG; A. Impulse Activity of Neurons; B. Profiles of Neuronal Reactions
C. Local Field PotentialsD. Association of Local Field Potentials with Scalp EEG; E. Modern Renaissance of EEG; IV. Endophenotypes and Individual Differences; A. Biological Markers of Disease; B. Association with Functioning of Brain Systems; C. Inverted U-Law; D. Pavlov''s, Eysenk''s and Current Theories of Personality Differentiation; V. Pharmaco-QEEG; A. Goals; B. Limitations; C. New Horizons; VI. Prerequisites for Neurotherapy; A. Neurofeedback; B. Brain-Computer interface; C. Transcranial Direct Current Stimulation; D. TMS, DBS, and Other Stimulation Procedures; Part I: EEG Rhythms
Chapter 1 Slow, Infra-Slow Potentials, and Delta RhythmsI. Origin of Scalp Potentials; A. Intracortical Organization; B. Membrane Potentials; C. Synaptic Transmission; D. Pyramidal Cells as Elemental Electrical Dipoles; II. Infra-Slow Oscillations; A. Spontaneous Activity; B. Preparatory Activities; III. Slow Waves of Deep Sleep; A. Up and Down States; B. Transcranial Induction of Slow Waves; IV. Delta Oscillations; A. Delta Rhythm of Sleep; B. Low Threshold Burst Mode of Thalamic Neurons; C. Pathological Delta Rhythms; V. Summary; Chapter 2 Alpha Rhythms; I. Types of Alpha Rhythms
A. Mu-RhythmsB. Occipital Alpha Rhythms; C. Parietal Alpha Rhythm; II. Neuronal Mechanisms; A. Association with Cortical Deactivation; B. Thalamo-Cortical Circuits; C. Sleep Spindles; D. Alpha Rhythms of Wakefulness; E. High Threshold Burst Mode of Thalamic Neurons; III. Responses to Tasks; A. Event-Related Desynchronization of Mu-Rhythms to Motor Actions; B. ERD of Occipital Rhythms to Visual Stimuli; IV. Functional Meaning; A. Alpha Rhythms as Idling EEG Activity; B. Lateral Inhibition in Activation of Alpha Rhythms; V. Abnormality of Alpha Rhythms; A. Complete Absence of Alpha Rhythms
B. Alpha Rhythms in Unusual SitesC. Alpha Asymmetry; VI. Summary; Chapter 3 Beta Rhythms; I. Types of Beta Rhythms; A. Rolandic Beta Rhythms; B. Desynchronization/Synchronization Pattern to Motor Actions; C. Frontal Beta Rhythms; D. Desynchronization/Synchronization Pattern to Cognitive Tasks; II. Neuronal Mechanisms; A. Association with Cortical Activation; B. Sensitivity to GABA Agonists; C. Inhibition in Cortical Circuits; III. Gamma Activity; A. Temporal Binding; IV. Functional Meaning; A. Beta Rhythms as Postactivation Traces; B. Reset of Information Processing; V. Abnormal Beta Rhythms
A. Need for Normative Databases

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