[EEG features in young female patients with depressive states at different stages of endogenous mental diseases].

Objective: To search for neurophysiological correlates of the characteristics of the brain functional state in patients with endogenous depression with an ultra-high risk of developing psychosis in comparison with EEG parameters of patients without symptoms of a risk of developing psychosis and patients who have suffered psychotic episode.

Material And Methods: The study included 92 female patients, aged 16-26 years, at the stage of remission, divided into three groups: with depression without symptoms of ultra-high risk of developing psychosis (group 1, =42), with depression and attenuated psychotic symptoms, but without a history of a psychotic episode (group 2, =32) and with depression that developed after experiencing a psychotic episode (group 3, =18). In all patients, pre-treatment multichannel background EEG was recorded with spectral power analysis in narrow frequency sub-bands.

[Clinical-neurophysiological correlations in female adolescents with heboid depression].

Objective: To determine EEG markers of depression severity and clarify the brain mechanisms of heboid depression by identifying relationships between clinical and neurophysiological parameters in female adolescents with heboid depression.

Material And Methods: A clinical-neurophysiological study of 25 female adolescents, aged 16-25 years, mean age 18.7±2.

[EEG predictors of therapeutic response in psychiatry].

The literature review provides data on one of the types of biomarkers - EEG predictors of the therapeutic response of patients with different types of mental pathology. It has been shown that the quantitative parameters of the electroencephalogram (EEG) recorded before the start of the treatment course reflect not only the current functional state of the patient's brain, but also its adaptive resources in terms of the possibility and magnitude of response to therapy. The identified EEG predictors of the therapeutic response in patients with depression, schizophrenia and some other mental disorders have a sufficiently high prognostic ability, sensitivity and specificity in determining responders and non-responders, make it possible to carry out a quantitative prediction of the patient's condition after a course of treatment, and also to assist the clinician in choosing medications for optimal therapy.