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  • Title: Using the Minnesota Multiphasic Inventory 2, EEGs, and clinical data to predict nonepileptic events.
    Author: Schramke CJ, Valeri A, Valeriano JP, Kelly KM.
    Journal: Epilepsy Behav; 2007 Nov; 11(3):343-6. PubMed ID: 17904912.
    Abstract:
    Minnesota Multiphasic Inventory 2 (MMPI-2) scale 3, duration of illness, and routine EEGs have been used to predict nonepileptic events (NEEs) with a high degree of accuracy in patients referred for video/EEG (vEEG) monitoring. This study tested the Storzbach logistic regression equation in our patients with definitive epileptic seizures (n=57) or NEEs without evidence of epileptiform activity (n=51) during vEEG monitoring, yielding an overall classification accuracy of 81%, sensitivity of 80%, and specificity of 81%. This study also replicated previous findings of significant group differences in duration (years) of spells, number of elevations on the MMPI-2, MMPI-2 elevations on scales 1, 2, 3, and 8, and incidence of the conversion valley on the MMPI-2. Our findings indicated that combined use of the MMPI-2 and clinical variables was most predictive of patients with NEEs.
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