The correlation between individual minute data and the Р300 auditory evoked potential in young people with different levels of internet addiction behavior

Background. The nature of changes in cerebral biopotentials as a neurobiological foundation of individual time in persons with different levels of internet addiction behavior remains insufficiently studied. However, these biopotentials reflect decision making speed and the quality of significant stimulus detection by brain structures. The paper aims to establish the correlation between the P300 cognitive evoked potential and individual minute (IM) test in young people with different levels of Internet addiction (IA) risk. Materials and methods. Healthy young people aged 16-17 years (n = 51) participated in the study. The survey was conducted according to the Chen scale (CIAS - Chen Internet Addiction Scale) modified by V. Malygin. This modification implies the calculation of the CIAS total score and the subjective assessment of time intervals by the IM test. The amplitude and latency of the P300 auditory evoked potential were determined using the Neuron-Spectrum - 4 /VMP electroencephalograph (Neurosoft, Russia) in the frontal (F3, F4), temporal (F7, F8, T3, T4), central (C3, C4) and parietal (P3, P4) leads of the electroencephalogram. Results. No significant correlations were found between the IM time, P300 data and the severity of IA signs in young people with a minimal risk of IA (less than 43 scores by CIAS). There was a decrease in the IM time and an increase in P300 amplitude (mainly in the frontal and anterior temporal areas) in persons with a risk of IA (43-65 scores by CIAS). In persons with a stable IA pattern (more than 65 scores by CIAS), the minimum P300 amplitude in the F7, F8 brain areas was found against a relative increase in the IM time and the number of errors in decision making. Conclusion. An increased risk of Internet addiction behavior in young people is accompanied by phase changes in the ratios of P300 amplitude (mainly in the anterior temporal areas), the quality of information processing and individual time perception.