EEG: a helpful tool in the prediction of
psychosis
European Archives of Psychiatry and Clinical Neuroscience, 04/20/09
Gschwandtner U et al. - These results show that EEG investigation in patients at risk for psychosis can add to the identification of those patients who will not develop psychosis later on.
Methods- Seventy-three patients (42 ARMS, 31 FE) and 35 HC were investigated.
- ARMS patients were followed up in order to monitor transition to psychosis.
- Psychopathology was assessed with respect to positive and negative symptoms.
- At study baseline EEG was recorded using the 10/20 system.
- Two blinded neurologists analyzed the EEGs visually for presence of generalized or focal slowing and epileptiform discharges.
- EEG data were controlled for medication and substance abuse. For statistical analyses we used ?2-tests, logistic regression, ANOVA, and receiver operating characteristics.
- Patients showed significantly more pathological EEG abnormalities than HC (P <>
- The specificity of the prediction of psychosis could be increased from 59 to 73% by considering EEG pathology in addition to psychopathology alone. In contrast, sensitivity of prediction remained unchanged.
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