Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Science 12 December 1980:
Vol. 210. no. 4475, pp. 1255 - 1258
DOI: 10.1126/science.7434026
Prev | Table of Contents | Next

Articles

Science, Vol 210, Issue 4475, 1255-1258
Copyright © 1980 by American Association for the Advancement of Science

articles

Developmental equations for the electroencephalogram

ER John, H Ahn, L Prichep, M Trepetin, D Brown, and H Kaye

Thirty-two linear regression equations predict the frequency composition of the electroencephalogram within four frequency bands, for four bilateral regions of the brain, as a function of age. Equations based on such data from large groups of healthy children in the United States and Sweden are closely similar. These equations describe the development of the electrical activity of the normal human brain, independent of cultural, ethnic, socioeconomic, or sex factors.


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Delta EEG Band as a Marker of Left Hypofrontality for Language in Schizophrenia Patients.
C. Spironelli, A. Angrilli, A. Calogero, and L. Stegagno (2009)
Schizophr Bull
   Abstract »    Full Text »    PDF »
The Value of Quantitative Electroencephalography in Clinical Psychiatry: A Report by the Committee on Research of the American Neuropsychiatric Association.
K. L. Coburn, E. C. Lauterbach, N. N. Boutros, K. J. Black, D. B. Arciniegas, and C. E. Coffey (2006)
J Neuropsychiatry Clin Neurosci 18, 460-500
   Abstract »    Full Text »    PDF »
Brain connectivity at different time-scales measured with EEG.
T Koenig, D Studer, D Hubl, L Melie, and W.K Strik (2005)
Phil Trans R Soc B 360, 1015-1024
   Abstract »    Full Text »    PDF »
Electroencephalographic Coherence in Alzheimer's Disease: Comparisons with a Control Group and Population Norms.
V. Knott, E. Mohr, C. Mahoney, and V. Ilivitsky (2000)
J Geriatr Psychiatry Neurol 13, 1-8
   Abstract »    PDF »
Behavioral and Electrophysiologic Predictors of Treatment Response to Stimulants in Children with Attention Disorders.
R. J. Chabot, A. A. Orgill, G. Crawford, M. J. Harris, and G. Serfontein (1999)
J Child Neurol 14, 343-351
   Abstract »    PDF »
Asymmetries in Brain Maturation and Behavioral Disturbances: Multivariate Electroencephalogram and P300 Studies.
M. Gerez, A. Tello, C. Serrano, R. Ibarra, and A. Mallet (1999)
J Child Neurol 14, 88-97
   Abstract »    PDF »
Quantitative Spectral Electroencephalography in Predicting Survival in Patients With Early Alzheimer Disease.
J. J. Claus, B. W. Ongerboer de Visser, G. J. M. Walstra, A. Hijdra, B. Verbeeten Jr, and W. A. van Gool (1998)
Arch Neurol 55, 1105-1111
   Abstract »    Full Text »    PDF »
Neurometrics: computer-assisted differential diagnosis of brain dysfunctions.
E. John, L. Prichep, J Fridman, and P Easton (1988)
Science 239, 162-169
   Abstract »    PDF »
New Diagnostic Methods in Criminology: Assessing Organic Sources of Behavioral Disorders.
D. H. FISHBEIN and R. W. THATCHER (1986)
Journal of Research in Crime and Delinquency 23, 240-267
   Abstract »    PDF »
Hyperactive Children's Event-Related Potentials Fail to Support Underarousal and Maturational-Lag Theories.
E. Callaway, R. Halliday, and H. Naylor (1983)
Arch Gen Psychiatry 40, 1243-1248
   Abstract »    PDF »
Developmental equations for postural tremor.
W. Tryon (1982)
Science 215, 300-301
   PDF »
Developmental equations reflect brain dysfunctions.
H Ahn, L Prichep, E. John, H Baird, M Trepetin, and H Kaye (1980)
Science 210, 1259-1262
   Abstract »    PDF »


To Advertise     Find Products

Science. ISSN 0036-8075 (print), 1095-9203 (online)