Introduction to Quantitative EEG and Neurofeedback Advanced Theory and Applications 2nd edition by Thomas Budzynski, Helen Kogan Budzynski, James Evans, Andrew Abarbanel – Ebook PDF Instant Download/Delivery: 0123745349, 978-0123745347
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ISBN 10: 0123745349
ISBN 13: 978-0123745347
Author: Thomas Budzynski, Helen Kogan Budzynski, James Evans, Andrew Abarbanel
The study of Quantitative EEGs and Neurofeedback offer a window into brain physiology and function via computer and statistical analyses, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior. Resources for understanding what QEEG and Neurofeedback is, how they are used, and to what disorders and patients they can be applied are scarce, and this volume serves as an ideal tool for clinical researchers and practicing clinicians, providing a broad overview of the most interesting topics relating to the techniques. The revised coverage of advancements, new applications (e.g. Aspberger’s, music therapy, LORETA, etc.), and combinations of prior approaches make the second edition a necessary companion to the first. The top scholars in the field have been enlisted and contributions will offer both the breadth needed for an introductory scholar and the depth desired by a clinical professional.
- Detailed new protocols for treatment of anxiety, depression, ADHD, and PTSD
- Newest protocol in Z-score training enables clinicians to extend their practices
- LORETA diagnostic tool lets the clinician watch for changes deep in the brain through working with surface EEG patterns
Introduction to Quantitative EEG and Neurofeedback Advanced Theory and Applications 2nd Table of contents:
PART 1 QEEG and Neurofeedback: Basics and New Theory
Chapter 1 Neuromodulation technologies: An attempt at classification
I. Introduction
II. Tracing the historical threads of neurofeedback
A. The Alpha rhythm and “felt states”
B. The sensorimotor rhythm and behavioral state
C. EEG operant feedback and normalcy patterns
D. Stimulation-based treatment
III. A classification of neuromodulation technologies
A. Slow cortical potential training
B. Stimulation-based technologies
IV. The evolution of standard reward and inhibit-based neurofeedback
V. Resonant-frequency training
VI. An attempt to achieve synthesis
VII. Alpha/Theta and synchrony training
VIII. General self-regulation and specific dysfunctions
IX. Summary and conclusion
References
Chapter 2 History of the scientific standards of QEEG normative databases
I. Introduction
II. Definitions of digital EEG and quantitative EEG (QEEG)
III. Simultaneous digital EEG tracings and quantitative EEG
IV. Test–retest reliability of QEEG
V. History of standards of QEEG normative databases
VI. History of inclusion/exclusion criteria and “representative samples”
VII. History of artifact-free data and reliability measures
VIII. History of sample size per age group
IX. History of age stratification vs. age regression
X. History of Gaussian distribution approximation and cross-validation
XI. History of the use of the Z-score and QEEG normative databases
XII. Cross-validations of normative databases: New York University and University of Maryland
XIII. History of amplifier matching and QEEG normative databases
XIV. Content validity of QEEG normative databases
A. Neuropsychological correlations
B. Example for traumatic brain injury
XV. History of three-dimensional current source normative databases
XVI. History of three-dimensional source correlation normative databases
XVII. History of real-time Z-score normative databases
XVIII. Active tasks vs. eyes closed and eyes open QEEG databases
XIX. Summary of normative database validation and sensitivity tests
XX. Gold standard check list for a normative QEEG database
XXI. Problems in combining sub-standard QEEG databases with scientifically acceptable databases
XXII. Future standardization of QEEG normative databases
References
PART 2 Advancing Neurofeedback Practice
Chapter 3 Applying advanced methods in clinical practice
I. Diagnostic considerations—univariate versus multivariate measures
II. Pharmaco-EEG
III. QEEG—therapeutic applications in neurofeedback
IV. Diagnostics—utilization source localization methods
V. Case sample employing univariate, multivariate and source localization methods to “diagnosis” of
A. Case DS
VI. Forensic applications
A. Case JR
VII. AVE therapy
A. Case BM
VIII. QEEG as a tool for monitoring other “experimental” interventions
IX. A comment about the future of QEEG-based neurofeedback
References
Chapter 4 Diagnosing and treating brain function through the use of low resolution brain electromagn
I. Introduction
II. Introduction to LORETA
III. Software required to perform analyses
IV. Utility of segmentation of EEG frequency bands by function
V. Localization of the cortical reflection of voltage
A. The location of frequency generators
VI. Interpretive examples
VII. Case example of pre-post neurofeedback training
VIII. Advanced intervention—LORETA feedback
IX. Conclusions
References
Chapter 5 EEG biofeedback training using live Z-scores and a normative database
I. Introduction
II. Design of the instantaneous Z-score normative database
A. Use of Gaussian probabilities to identify “de-regulation” in the brain
B. Application of Gaussian probability distributions to instantaneous Z-score biofeedback, and why J
C. Simplification and standardization
D. Individualized EEG biofeedback protocols
III. Instantaneous Z-scores accessed from inside of NeuroGuide™
IV. Implementation of the Z-score biofeedback
V. JTFA complex demodulation computations
VI. Z-scores and QEEG normative databases
A. Standardization by amplifier matching and QEEG normative databases
B. General method to produce a valid instantaneous Z-score EEG database
C. Age groupings of the instantaneous Z-score normative population
VII. Case study 1: Jack
VIII. Case study 2: John
IX. Case study 3: SL
A. Eyes-closed condition
B. Eyes-open condition
X. Conclusions
References
Chapter 6 Alpha–theta neurotherapy and the neurobehavioral treatment of addictions, mood disorders
I. Introduction
II. The peniston protocol
III. The effectiveness of alpha–theta neurotherapy
A. Autopoiesis and the malleability of memory
B. State-dependent memory and retrieval
C. Causative properties of consciousness and arousal states
D. Neural function in the effectiveness of alpha–theta neurotherapy
E. Phase transition and alpha–theta’s effectiveness with trauma
F. Importance of the patient–therapist relationship
G. Summary of the effectiveness of alpha–theta neurofeedback
IV. Alpha–theta neurofeedback in the neurobehavioral treatment of trauma disorder
A. A closer look at trauma disorder
B. Resolving trauma with alpha–theta neurofeedback: A multi-modality model
C. Resolving trauma using alpha–theta in a multi-modality context: A case study
V. Conclusion
References
PART 3 Alternative Treatment Approaches to Neurofeedback
Chapter 7 Hemoencephalography: Photon-based blood flow neurofeedback
I. HEG as a form of neurofeedback
A. Details of nirHEG development
B. Details of pirHEG development
C. Cerebral blood flow dynamics from the PIR perspective
D. Infrared thermography
II. A new paradigm
A. Human frontal lobes and behavioral pathology
III. Basic HEG concepts
A. Cautions, precautions, side effects
B. Overall training guidelines for both HEG systems
IV. Frequently asked questions
References
Chapter 8 Audio-visual entrainment in relation to mental health and EEG
I. Overview
II. Evidence of sensory effects of AVE
III. Physiological effects of AVE systems
IV. Harmonics as a function of entrainment
V. Effects of audio-visual entrainment
A. Altered EEG activity
B. Dissociation/hypnotic induction
C. Limbic stabilization
D. Improved neurotransmitter production
E. Altered cerebral blood flow
VI. Clinical protocols with free-running audio-visual entrainment
A. How AVE protocols (sessions) are designed
B. Components of a session
C. “Rules of thumb”
D. Session frequency ranges and types
E. Special sessions for older adults
F. Depression session
VII. Applying AVE with neurofeedback
VIII. Conclusion
References
Chapter 9 Brain music treatment: A brain/music interface
I. Introduction
II. Brain music treatment as a therapeutic modality
A. Translation of EEG patterns to music
B. The brain music procedure
III. Summary of BMT research and clinical findings
IV. Theoretical viewpoints
A. BMT: Is it operant feedback or entrainment?
B. The concept of entrainment
C. BMT as entrainment
V. Possibilities for the future of BMT
VI. Summary
References
PART 4 Recent Clinical Applications of Neurofeedback
Chapter 10 Neurofeedback in alcohol and drug dependency
I. Introduction
II. SUD prevalence and QEEG changes
A. EEG in alcoholism
B. EEG in marijuana abuse
C. EEG in heroin addiction
D. EEG in cocaine addiction
E. EEG in methamphetamine addiction
F. P300 abnormalities in cocaine, methamphetamine and heroin addiction, and alcoholism
G. QEEG and ERP abnormalities in addiction: Psychopharmacological effects or trait markers?
II. Studies of EEG biofeedback on substance abuse treatment
A. The Peniston protocol (alpha–theta feedback)
III. Comorbidities of SUD and implications for individualized neurofeedback
A. QEEG-guided neurotherapy
B. QEEG-guided relapse prevention
IV. Integrating neurotherapy with other therapies
A. Twelve-step programs
B. Pharmacotherapies
C. Cognitive behavioral therapies
V. Further research
References
Chapter 11 EEG evaluation of traumatic brain injury and EEG biofeedback treatment
I. Introduction
II. Electrochemistry and the electroencephalogram
III. American Academy of Neurology and quantitative EEG
IV. Definitions of digital EEG and quantitative EEG (QEEG)
V. Simultaneous conventional EEG tracings and quantitative EEG
VI. Test–retest reliability of QEEG
VII. Present use of QEEG for the evaluation of TBI
VIII. Drowsiness and the effects of medication on QEEG
IX. Predictive validity of QEEG in the evaluation of TBI—neuropsychological
X. The use of fewer electrodes to evaluate the effects of TBI
XI. Examples of content validity of QEEG and TBI evaluation
XII. QEEG current source localization and TBI
XIII. QEEG biofeedback
XIV. Summary
References
Chapter 12 Neurofeedback for the treatment of depression: Current status of theoretical issues and c
I. Introduction
II. A review of the literature
A. Frontal EEG asymmetry and emotions
B. Frontal EEG asymmetry and mood disorders
III. Clinical use of asymmetry protocols for treatment of depression: Baehr/Rosenfeld studies
A. Replication studies
B. Review of previous research
C. Procedures
D. Results
E. Longitudinal data
F. Treatment of a bipolar patient
G. Adjunctive treatments with the Baehr/Rosenfeld asymmetry protocol
IV. The Hammond depression protocol
V. Other neurofeedback studies with depression
VI. Summary and conclusions
References
Chapter 13 Neurofeedback and attachment disorder: Theory and practice
I. Introduction
II. Reactive attachment disorder: Case study
III. An overview of attachment theory
IV. Adult attachment categories
V. Allan Schore and the neurobiology of affect regulation
VI. Reactive attachment disorder and a history of treatment failure
VII. Neurofeedback and the treatment of reactive attachment disorder
VIII. Protocols
A. Negative effects
B. Alpha–theta training
C. FPO2 training
IX. The role of the therapist
X. Conclusion
References
Chapter 14 QEEG and neurofeedback for assessment and effective intervention with attention deficit h
I. Introduction
II. Background to ADHD
A. Etiologies
B. Prevalence
C. Interventions
III. Diagnosis of ADHD
A. DSM-IV criteria
B. EEG patterns
IV. Neurofeedback for ADHD
A. History
V. Scientific basis of using NFB
A. Theta/SMR and theta/beta approaches
B. Assessment
VI. Setting up an individualized neurofeedback training program
VII. Evidence-based practice, research design, and combined treatments
VIII. The international scene and future directions
IX. Conclusion
References
Chapter 15 Asperger’s syndrome intervention: combining neurofeedback, biofeedback and metacognition
I. Introduction
II. Section I: Background, historical note, prevalence, and symptoms
A. Background
B. Historical note
C. Prevalence
D. Asperger’s syndrome traits: The authors’ observations
III. Section II: Symptom correlation with functional neuroanatomy and EEG findings
A. Inattention and impulsivity: ADHD symptoms and signs
B. Brain regions that underlie ADHD symptoms, and appropriate NFB training
C. Anxiety and the modulation of affect responses
D. Empathy and affect interpretation and expression
E. Executive function difficulties
IV. Section III: Regions of the brain identified as dysfunctional in AS
A. Prefrontal cortex
B. Hippocampal cortex—medial temporal cortex
C. Amygdala
D. Fusiform gyrus
E. Temporal-parietal junction and the auditory cortex
F. Anterior insula and the anterior cingulate
G. Mirror neuron areas
F. Other theories to explain AS symptoms
G. The Polyvagal theory
V. Section IV: Intervention
A. Neurofeedback + biofeedback: What we do and why it is effective
B. Case example
C. Typical training session steps for clients with Asperger’s syndrome
D. The four overlapping processes for training AS
E. Adding metacognition to treatment
F. Review of training results in clients with AS
VI. Discussion
VII. Conclusion
References
Chapter 16 Neurofeedback in pain management
I. Introduction
II. Psychological pain associated with physiological conditions
III. The bio-psychosocial model of pain
IV. The usefulness of BF/NF with co-morbidities associated with chronic pain
V. Overview of the complexity of treating chronic pain
A. Data collection of subjective and objective symptoms
B. Training strategies
VI. Cases studies 1–7
VII. Longitudinal case studies (8–10)
VIII. Statistical analysis of the NF efficacy in pair syndromes
A. NF training efficacy relative to number of sessions (NS)
B. Relationship between the patient’s age and the number of sessions (NS) of NF
C. Relationship between the patient’s gender and the response to the NS of NF
IX. Discussion
X. Conclusions
References
Chapter 17 Anxiety, EEG patterns and neurofeedback
I. Introduction
II. The anxiety state
III. Anxiety types with a focus on the EEG picture
A. Early treatment of anxiety using biofeedback/neurofeedback
IV. Alpha EEG biofeedback prior to QEEG-based neurotherapy
V. QEEG correlates of anxiety symptoms
A. Obsessive-compulsive disorder
B. Trait anxiety
VI. The concept of a default mode network (DMN)
VII. Findings from clinical experience
VIII. Augmenting procedures for anxiety clients
A. Diaphragmatic breathing
B. Becoming aware of “bracing efforts”
C. Premack principle
D. Brief guided relaxation technique
IX. Virtual reality therapy for anxiety
X. Summary
References
PART 5 Ethical/Legal Issues
Chapter 18 Ethics in neurofeedback practice
I. Introduction
II. Current status of ethical and professional issues
III. The necessity of definitions
IV. Professional decision-making
V. Characteristics of an ethical practice
VI. Cautions and contraindications in using neurofeedback
A. Efficaciousness of interventions
B. Informed consent
C. Advertising
D. Boundary issues
VII. Standard of care
VIII. Conclusion
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Tags: Thomas Budzynski, Helen Kogan Budzynski, James Evans, Andrew Abarbanel, Quantitative EEG, Neurofeedback Advanced


