
J Neuropsychiatry Clin Neurosci 18:460-500, November 2006
doi: 10.1176/appi.neuropsych.18.4.460
© 2006 American Neuropsychiatric Association
The Value of Quantitative Electroencephalography in Clinical Psychiatry: A Report by the Committee on Research of the American Neuropsychiatric Association
Kerry L. Coburn, Ph.D.,
Edward C. Lauterbach, M.D.,
Nash N. Boutros, M.D.,
Kevin J. Black, M.D.,
David B. Arciniegas, M.D. and
C. Edward Coffey, M.D.
Received and accepted March 3, 2006. Dr. Coburn is affiliated with the Department of Psychiatry and Behavioral Sciences, Mercer University School of Medicine, Macon, Georgia. Dr. Lauterbach is affiliated with the Division of Adult and Geriatric Psychiatry, Mercer University School of Medicine, Macon, Georgia. Dr. Boutros is affiliated with the Department of Psychiatry and Neurology, Wayne State University, School of Medicine, Detroit, Michigan. Dr. Black is affiliated with the Department of Psychiatry, Neurology, and Radiology, Washington University School of Medicine, St. Louis, Missouri. Dr. Arciniegas is affiliated with the Department of Psychiatry and Neurology, University of Colorado School of Medicine, Denver, Colorado. Dr. Coffey is affiliated with the Henry Ford Health System, Detroit, Michigan. Address correspondence to Dr. Coburn, 655 First St., Macon, GA 31201; Coburn_kl{at}Mercer.edu (E-mail).
The authors evaluate quantitative electroencephalography (qEEG) as a laboratory test in clinical psychiatry and describe specific techniques, including visual analysis, spectral analysis, univariate comparisons to normative healthy databases, multivariate comparisons to normative healthy and clinical databases, and advanced techniques that hold clinical promise. Controversial aspects of each technique are discussed, as are broader areas of criticism, such as commercial interests and standards of evidence. The published literature is selectively reviewed, and qEEGs applicability is assessed for disorders of childhood (learning and attentional disorders), dementia, mood disorders, anxiety, panic, obsessive-compulsive disorder, and schizophrenia. Emphasis is placed primarily on studies that use qEEG to aid in clinical diagnosis, and secondarily on studies that use qEEG to predict medication response or clinical course. Methodological problems are highlighted, the availability of large databases is discussed, and specific recommendations are made for further research and development. As a clinical laboratory test, qEEGs cautious use is recommended in attentional and learning disabilities of childhood, and in mood and dementing disorders of adulthood.
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