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Science 12 December 1980:
Vol. 210. no. 4475, pp. 1259 - 1262
DOI: 10.1126/science.7434027

Articles

Science, Vol 210, Issue 4475, 1259-1262
Copyright © 1980 by American Association for the Advancement of Science


articles

Developmental equations reflect brain dysfunctions

H Ahn, L Prichep, ER John, H Baird, M Trepetin, and H Kaye

Developmental equations, which predict 32 parameters of the electroencephalogram recorded from the healthy human as a function of age, were tested in diverse groups of children. Few significant deviations were found in normal children, even in a culture different from the one on which the equations were based. A high incidence of significant deviations was found in children with learning disabilities and those at risk for various neurological disorders.


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The Value of Quantitative Electroencephalography in Clinical Psychiatry: A Report by the Committee on Research of the American Neuropsychiatric Association.
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Differentiating Autistic Children with Quantitative Encephalography: A 3-Month Longitudinal Study.
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EEG Analysis of Children with Attention-Deficit/Hyperactivity Disorder and Comorbid Reading Disabilities.
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Nutrition, Environmental Toxins and Computerized EEG: A Mini-Max Approach to Learning Disabilities.
R. W. Thatcher and M. L. Lester (1985)
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The Neurobiological and Neuropsychological Foundations of Learning Disabilities.
J. E. Obrzut and G. W. Hynd (1983)
J Learn Disabil 16, 515-520
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Hyperactive Children's Event-Related Potentials Fail to Support Underarousal and Maturational-Lag Theories.
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Electroencephalogram tests for brain dysfunction: a question of validity.
C McCauley and J Ciesielski (1982)
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Electroncephalogram Tests for Brain Dysfunation: A Question of Validity.
H. AHN, L. PRICHEP, and E. R. JOHN (1982)
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W. Tryon (1982)
Science 215, 300-301
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Developmental equations for the electroencephalogram.
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