[Validation of screening method based on EEG analysis for the risk assessment of psychiatric and behavioral disorders: a pilot study].

Objective: To assess the validity of the screening method based on EEG analysis using predictive analytics algorithms with the calculation of linear discriminant functions (LDFs), in comparison with a classification system based on psychometric self-report scales.

Material And Methods: A comparative cross-sectional study with partial blinding involving healthy volunteers was conducted at two investigational sites. The calculated scores of LDFs used to assess risks of impulsivity, depression and anxiety acted as quantitative characteristics of subjects' mental state.

[Discriminant EEG analysis for differential diagnosis of schizophrenia. Methodological aspects].

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.

[The use of eeg discriminant analysis in the diagnosis of schizophrenia].

Aim: There have been no criteria found so far to quantify the wide range of EEG spectral and coherent indicators, which would allow discrimination between schizophrenia disorders and healthy human states. The goal of this research is to find objective EEG-based schizophrenia criteria through a discriminant analysis and to obtain a linear discriminant function (LDF) with sensitivity and specificity of at least 85%.

Material And Methods: The study covered 83 schizophrenia patients and 116 healthy individuals, with similar major characteristics.

[Perception of emotions in speech. A review of psychological and physiological research].

The article is a review of the general concepts and approaches in research of recognition of emotions in speech: psychological concepts, principles and methods of study and physiological data in studies on animals and human. The concepts of emotional intelligence (ability to understand and recognize emotions of other people and to understand and regulate personal emotions), emotional hearing (ability to recognize emotions in speech) are discussed, general review of the paradigms is presented. The research of brain mechanisms of speech emotions differentiation is based on the study of local injuries and dysfunctions, along with the study on healthy subjects.

[The dynamics of coheren links in persons with different ability to recognise speech emotional expessions].

The coherency characteristics of the brain electrical activity were studied in two groups of subjects: 1) with high and 2) low indexes of "emotional ear" (an ability to successfully recognize emotions in the speech). Comparison of the coherency links between two groups of subjects permitted the authors to make a conclusion that the persons of the first group had a much lower coherency level, especially in the alpha- and gamma-rhythms. The subjects of the second group were characterized by the opposite tendency: an increase in coherent links on the majority of frequency bands.