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Neurometric-quantitative EEG as a diagnostic adjunct in clinical psychiatry

Published online by Cambridge University Press:  16 April 2020

F Mas ,
LS Prichep ,
R Cancro ,
ER John  and
K Alper
F Mas
Affiliation:
Brain Research Laboratories, Dept of Psychiatry, New York University Medical Center, New York, NY
LS Prichep
Affiliation:
Brain Research Laboratories, Dept of Psychiatry, New York University Medical Center, New York, NY Nathan S, Kline Institute for Psychiatric Research, Orangeburg, NY, USA
R Cancro
Affiliation:
Brain Research Laboratories, Dept of Psychiatry, New York University Medical Center, New York, NY Nathan S, Kline Institute for Psychiatric Research, Orangeburg, NY, USA
ER John
Affiliation:
Brain Research Laboratories, Dept of Psychiatry, New York University Medical Center, New York, NY Nathan S, Kline Institute for Psychiatric Research, Orangeburg, NY, USA
K Alper
Affiliation:
Brain Research Laboratories, Dept of Psychiatry, New York University Medical Center, New York, NY
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Summary

Computer based quantitative evolution of the electroencephalogram (QEEG) holds promise as an adjunct in the evaluation of psychiatric patients. One such method is neurometrics (N-QEEG) in which quantitative electrophysiological features are evaluated by statistical comparison with age appropriate normative data and compared with the profile of dysfunction seen in different psychiatric populations. This paper is based upon the experiences of the senior author in using this method in a series of 88 patients seen in a clinical setting. Neurometric testing provided a unique and significant contribution to the clinical diagnosis or management of 12% of these cases and gave some clinically useful information in another 44% of this population. In the remaining 44%, the method did not provide any additional contribution to the clinical diagnosis and/or to the management of the patient. Six case histories are provided to illustrate these 3 categories. It must be emphasized that N-QEEG is not a technique that can be substituted for any part of a systematic clinical evaluation, least of all for the process itself, which remains crucial. Once embedded in a solid clinical framework, N-QEEG has the capacity to enhance one’s diagnostic efforts and therapeutic strategies by providing objective quantitative data reflecting brain dysfunction. In such a context, the nominative and cost-effective nature of this technique can further adds to its practicality.

Keywords

neurometricsquantitative EEGcomputer-aided psychiatric diagnosis
Type
Original article
Information
European Psychiatry , Volume 6 , Issue 3 , 1991 , pp. 131 - 139
Copyright
Copyright © Elsevier, Paris 1991

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