Reading

Books:

• Quantitative EEG, Event-Related Potentials and Neurotherapy -  By Juri Kropotov
• The Neurofeedback Book – By Lynda and Michael Thompson
• The Art of Artifacting – By D. Corydon Hammond and Jay Gunkelman
• Getting Started with Neurofeedback – By John Demos

Recommended reading from from Jay Gunkelman’s seminar on Quantitative EEG @ ASET 2009. The following files are provided for educational use. Reproduction of the files or unauthorized distribution is not ethical, and permission is generally granted for any non-commercial use of these files. Thanks for your interest in EEG/qEEG!

PDF Documents

• Efficacy of Neurofeedback treatment in ADHD: The effects on Inattention, Impulsivity and Hyperactivity: A meta-analysis. Martijn Arns , Sabine de Ridder, Ute Strehl , Marinus Breteler & Ton Coenen
• Temporal Minor Slow & Sharp EEG Activity and Cerebrovascualr Disorder G. Asokan,J. Pareja and E. Niedermeyer
• Time for a theory-driven approach to QEEG Martijn Arns, Werner van den Bergh & Jay Gunkelman
• Transcend the DSM Using Phenotypes Jay Gunkelman, QEEG-D from Biofeedback Magazine – Volume 34, Issue 3, pp. 95-98
• Contributions of Anterior Cingulate to Cortex to Behavior Orrin Davinsky, Martha J. Morrel, Brent A Vogt
• The Functional Significance of Mu Rhythms: Translating “seeing” and “hearing” into “doing” Jaime A. Pineda, Ph.D.
• Neurofeedback and the Brain Jay D. Gunkelman and Jack Johnstone from Journal of Adult Development, Vol. 12, Nos. 2/3, August 2005
• ERPs correlates of EEG relative beta training in ADHD children Jury D. Kropotov, Vera A. Grin-Yatsenko, Valery A. Ponomarev, Leonid S. Chutko, Elena A. Yakovenko, Inna S. Nikishena from International Journal of Psychophysiology 55 (2005) 23– 34
• Clinical Outcomes in Addiction: A Neurofeedback Case Series Jay Gunkelman, QEEG-Diplomate, and Curtis Cripe, PhD from Biofeedback Magazine – Volume 36, Issue 4, pp. 152–156
• Template for Developing Guidelines for the Evaluation of the Clinical Efficacy of Psychophysiological Interventions Efficacy Task Force from Applied Psychophysiology and Biofeedback, Vol. 27, No. 4, December 2002
• The 2-dimensional ‘Vigilance-Alertness’ model, expanded version of the Vigilance model by Bente (1964). Martijn Arns, Werner van den Bergh & Jay Gunkelman.
• EEG Phenotypes Predict Treatment Outcome to Stimulants in Children with ADHD Martijn Arns, Marinus Breteler, Desir´ee Spronk & Jay Gunkelman from Journal of Integrative Neuroscience, Vol. 7, No. 3 (2008) 421–438.
• Basic Concepts and Clinical Findings in the Treatment of Seizure Disorders with EEG Operant Conditioning M. Barry Sterman from Clinical Electroencephalography Vol 31 No. 1.
• Event-related EEG/MEG Synchronization and Desynchronization: Basic Principles G. Pfurtschellera, F.H. Lopes da Silva from Clinical Neurophysiology 110 (1999) 1842-1857.
• Conventional and Quantitative Electroencephalography in Psychiatry John R Hughes MD, Ph.d, E. Roy John Ph.d from Journal of Integrative Neuroscience, Vol. 11, No. 2 (Spring 1999).
• Basic Mechanisms of Cerebral Rhythmic Activities M. Steriade, P. Gloor, R.R Llinas, F.H Lopes de Silva, M.M. Mesulam from Electroencephalography and Clinical Neurophysiology, 1990, 76: 481-508
• EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis Wolfgang Klimesch – Department of Physiological Psychology, Institute of Psychology, University of Salzburg from Brain Research Reviews 29, 1999.169–195
• Psychiatric Electroencephalography Gerald Ulrich, Charité University Medicine Berlin – Psychiatric Clinic
• Status of Quantitative EEG in Clinical Practice, 1994 Fran H Duffy, John R Hughes, Fernando Miranda, Peter Bernad and Patricia Cook from Clinical Electroencephalography, 1994 Vol 25 No. 4.
• Assessment of Digital EEG, Quantitative EEG and Brain Mapping Mark Nuwer MD Phd from Neurology, 1997;49:277-292
• Classification of the EEG feature components Michal Vavrecka, Jakub Kuzilek, Lenka Lhotska, Member IEEE – Abstract- In this paper we propose a novel method for the EEG signal processing based on the classification of independent components of the signal features. leA algorithm has been successfully applied to the area of EEG artefact detection, however this algorithm can be applied to identify independent components of signal features.

• Presynaptic Spike Broadening Reduces Junctional Potential Amplitude – Andrew N. Spencer, Jan Przysiezniak, Juan Acosta-Urquidi & Trent A. Basarsky – Nature 340, 636-638 (24 August 1989) | doi:10.1038/340636a0; Accepted 18 July 1989 – Page 1, Page 2 , Page 3

qEEG CPT Coding

• Clinical Policy Bulletin from Aetna : Quantitative EEG (Brain Mapping)

Web Links

• Quantitative EEG as a predictive biomarker for Parkinson disease dementia abstract from neurology.org