PREDICTION OF THE DEVELOPMENT OF PERIODONTAL DISEASE

Introduction. Periodontal tissue disease is one of the most common dental pathologies, which among young people occurs with a frequency of 60% to 99%. Therefore, the problem of finding new links in the pathogenesis, the reasons for the growing prevalence of periodontal disease, as well as effective methods for its early diagnosis and prevention, is relevant. Objectives. Establish the possibility of using individual stomatological and psychophysiological features to predict the development of periodontal disease. Materials and methods. 156 students aged 18-23 years old without systemic diseases were surveyed for some features of oral hygiene and nutrition. Also the study subjects underwent a dental examination, psychological testing and the assessment of individual typological features of higher nervous activity and autonomous regulation. The model for statistical prediction were designed using neural networks. Results. Two neural networks were designed with the best predictors among dental history and examination, psychological testing, parameters of higher nervous activity and heart rate variability analysis. The diagnostic sensitivity of the first prognostic model was 83.33 % and the specificity was 92.31 %. The second model was characterized by 90.00 % sensitivity and 78.57 % specificity. Conclusion. The method of modeling using neural networks based on the index assessment of the condition of teeth hard tissues, the level of oral hygiene and the evaluation of psychophysiological features can effectively predict the risk of periodontal disease development in young people

Heart rate variability analysis of students with different motor activity levels

Relevance. Assessment of the functional state of the body is one of the leading tasks of physiology. The article deals with the analysis of the initial vegetative status of students with different levels of motor activity. Materials and Methods. Registration and analysis of the heart rate variability was carried out with the help of a modern complex electrophysiological laboratory CONAN - 4.5. The heart activity of students engaged in physical culture within the educational process was evaluated on the basis of heart rate variability analysis. Results and Discussion. It was revealed that among the entire studied array of students (with the differentiation of the initial vegetative status calculated according to muscle tension index), normotonics are characterized by an optimal ratio between the parasympathetic and sympathetic divisions of the autonomic nervous system. At the same time, the value of the coefficient of physical activity in the studied group was determined at the level of 1.730.1. Conclusion. For vagotonics, the value of the triangular index was 2.50.2 conventional units (CU), which confirms the idea of an increase in the influence on the autonomic nervous system. The value for normotonics is 2.20.1 CU. This group was characterized by the balance between the sympathetic and parasympathetic parts of the autonomic nervous system. In sympathicotonics - 1.90.5 CU, which confirms the idea of increasing the influence of the sympathetic division of the autonomic nervous system. In hypersympathicotonics-1.10.4 CU. To ensure adequate functioning of the cardiovascular system and for normal adaptation to physical exertion in students, it is necessary to form a level of motor activity that quantitatively corresponds to a coefficient of physical activity of at least 1.75.

Modulation of magnetoencephalography alpha band activity by radiofrequency electromagnetic field depicted in sensor and source space

Several studies reported changes in spontaneous electroencephalogram alpha band activity related to radiofrequency electromagnetic fields, but findings showed both an increase and a decrease of its spectral power or no effect. Here, we studied the alpha band modulation after 900 MHz mobile phone radiofrequency exposure and localized cortical regions involved in these changes, via a magnetoencephalography (MEG) protocol with healthy volunteers in a double-blind, randomized, counterbalanced crossover design. MEG was recorded during eyes open and eyes closed resting-state before and after radiofrequency exposure. Potential confounding factors, known to affect alpha band activity, were assessed as control parameters to limit bias. Entire alpha band, lower and upper alpha sub-bands MEG power spectral densities were estimated in sensor and source space. Biochemistry assays for salivary biomarkers of stress (cortisol, chromogranin-A, alpha amylase), heart rate variability analysis and high-performance liquid chromatography for salivary caffeine concentration were realized. Results in sensor and source space showed a significant modulation of MEG alpha band activity after the radiofrequency exposure, with different involved cortical regions in relation to the eyes condition, probably because of different attention level with open or closed eyes. None of the control parameters reported a statistically significant difference between experimental sessions.