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Psychiatric Diagnostic Discriminations with Combinations of Quantitative EEG Variables

Published online by Cambridge University Press:  29 January 2018

Charles Shagass*
Affiliation:
Temple University Medical School and Philadelphia Psychiatric Center, Philadelphia, Pennsylvania 19131, USA
Richard A. Roemer
Affiliation:
Temple University Medical School and Philadelphia Psychiatric Center, Philadelphia, Pennsylvania 19131, USA
John J. Straumanis
Affiliation:
Temple University Medical School and Philadelphia Psychiatric Center, Philadelphia, Pennsylvania 19131, USA
Richard C. Josiassen
Affiliation:
Temple University Medical School and Philadelphia Psychiatric Center, Philadelphia, Pennsylvania 19131, USA
*
Correspondence.

Summary

The possible psychiatric diagnostic utility of certain quantitative EEG measures was evaluated by further analysis of previously reported data from 242 unmedicated patients and 94 non-patients. Time series of amplitude, frequency and wave symmetry measures for 12-lead EEGs (eyes closed and open) were factor analyzed across leads. Factor scores meeting specified criteria in multivariate analyses were entered into discriminant analyses comparing pairs of the following groups: non-patients, neurotics, personality disorders, overt schizophrenics, latent schizophrenics, major depressives and manics. The following discriminations were obtained with at least 50 per cent sensitivity, and diagnostic confidence rates from 69 to 92 per cent: (a) non-psychotic patients (neuroses, personality disorders) from overt schizophrenics, latent schizophrenics or manics; (b) major depressives from latent schizophrenics or manics; (c) non-patients from schizophrenics (overt and latent), depressives or manics. Most discriminations were replicable in split-half analyses. Possible utility of EEG measures in differential diagnosis is supported.

Type
Papers
Copyright
Copyright © 1984 The Royal College of Psychiatrists 

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