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Spectral Analysis of the EEG in Craniocerebral Trauma

Published online by Cambridge University Press:  18 September 2015

Richard J. Moulton ,
Anthony Marmarou ,
Jacob Ronen ,
John D. Ward ,
Sung Choi ,
Harry A. Lutz ,
Steven Byrd ,
Antonio Desalles ,
Angelo Maset  and
J. Paul Muizelarr
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Richard J. Moulton*
Affiliation:
Division of Neurosurgery, University of Toronto
Anthony Marmarou
Affiliation:
Medical College of Virginia, Virginia Commonwealth University, Richmond
Jacob Ronen
Affiliation:
Department of Neurosurgery, Soroka Medical Centre, Beer-Sheeba, Israel
John D. Ward
Affiliation:
Medical College of Virginia, Virginia Commonwealth University, Richmond
Sung Choi
Affiliation:
Medical College of Virginia, Virginia Commonwealth University, Richmond
Harry A. Lutz
Affiliation:
Medical College of Virginia, Virginia Commonwealth University, Richmond
Steven Byrd
Affiliation:
Medical College of Virginia, Virginia Commonwealth University, Richmond
Antonio Desalles
Affiliation:
Department of Neurosurgery, University Federal of Goias, Brazil
Angelo Maset
Affiliation:
Hospital N.S. da Paz, S.J. do Rio Preto, Sao Paulo, Brazil
J. Paul Muizelarr
Affiliation:
Medical College of Virginia, Virginia Commonwealth University, Richmond
Harold F. Young
Affiliation:
Medical College of Virginia, Virginia Commonwealth University, Richmond
*
Division of Neurosurgery, University of Toronto, St. Michael's Hospital, 38 Shuter St., Toronto, Ontario, Canada M5B 1A6
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Abstract:

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The objectives of the present study were to evaluate the relationship between the fractional amplitudes of the EEG derived from power spectral analysis (PSA) of the electroencephalogram (EEG) and depth of coma measured clinically with the Glasgow Coma Score, and to assess the accuracy of PSA in predicting long-term outcome. Thirty-two patients rendered unconscious by blunt head injury (mean (GCS = 7) had intermittent EEG recordings daily from 1-10 days post injury. There was a significant correlation between fractional amplitude of the EEG and the GCS. The rate and magnitude of change in the EEG and GCS were also correlated. There were significant differences in PSA parameters between improved and deteriorated patient groups at the termination of monitoring (p = .02) and in the change of PSA parameters over time (p = .02). Using linear discriminant analysis of PSA parameters, the accuracy of outcome prognostication based on the six month outcome was approximately 75%. Accurate classification of outcome was possible in a number of patients in whom there was little or no change in the GCS during the period of monitoring.

Type
Special Supplement — Neurosurgical Symposium
Information
Canadian Journal of Neurological Sciences , Volume 15 , Issue 1 , February 1988 , pp. 82 - 86
Copyright
Copyright © Canadian Neurological Sciences Federation 1988

References

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