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[Discriminant EEG analysis for differential diagnosis of schizophrenia. Methodological aspects]
I V Kichuk1, A A Mitrofanov2, N V Solovieva3
1Pirogov Russian National Research Medical University, Moscow, Russia.
Background:
A search for accurate linear discriminant function (LDF) allowing the diagnosis of schizophrenia and estimation of treatment effectiveness according to EEG is an urgent problem.
Objective:
To develop a methodology for discriminant EEG analysis for minimizing the overlearning effect, selection of optimal LDF model and evaluation of its generalizing ability.
Material And Methods:
Two hundred and twenty patients with schizophrenia and 1400 people without psychiatric diseases, who were comparable in basic characteristics, were enrolled. EEG was recorded using 16 leads, 10-20 system and aural reference electrodes. EEG was processed by spectral and coherent analysis.
Results:
After linear discriminant analysis, LDF was obtained to differentiate people with schizophrenia from healthy subjects and a formula was selected from LDF that included 8 predictors (spectral and coherent parameters of standard EEG ranges theta, alpha and beta) with 90% sensitivity and 80% specificity, significance level for Wilks' lambda p<3.9E-28 and the Mahalanobis distance between training set centroids 4,6.
Conclusion:
A method for obtaining optimal LDF models and selection the best one with further LDF generalizing ability assessment is suggested.
