THE CORRELATION BETWEEN INDIVIDUAL MINUTE DATA AND THE Р300 AUDITORY EVOKED POTENTIAL IN YOUNG PEOPLE WITH DIFFERENT LEVELS OF INTERNET ADDICTION BEHAVIOR
Abstract
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 P 300 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, P 300 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 P 300 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 P 300 amplitude (mainly in the anterior temporal areas), the quality of information processing and individual time perception.
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2. Dzhos Yu.S., Kalinina L.P. [Cognitive event-related potentials in neurophysiology research (review)]. Zhurnal mediko-biologicheskikh issledovanii [Journal. medical biol. research], 2018, vol. 6, no. 3, pp. 223–235. DOI: 10.17238/issn2542-1298.2018.6.3.223 (in Russ.).
3. Gnezditskii V.V., Chatskaya A.V., Korepina O.S., Klochkova O.I. [Assessment of the operative memory capacity based on endogenous evoked potentials (P300 method) without neuropsychological testing]. Annaly klinicheskoi i eksperimentalnoi nevrologii. [Annals of clinical and experimental neurology], 2016, vol. 10, no. 1, pp. 27–34. (in Russ.).
4. Chiligina Yu.A. [Exam stress effect on subjective evaluation of time among the first-course students]. Uchenye zapiski universiteta imeni P.F. Lesgafta [Scientific notes of the University named after P.F. Lesgaft], 2015, no. 4. pp. 257–262. DOI: 10.5930/issn.1994-4683.2015.04.122.p.257-262.
5. Chen S., Weng L., Su Y. et al. Development of a Chinese Internet addiction scale and its psychometric study. Chinese Journal of Psychology, 2003, vol. 45, pp. 279–294.
6. Dong G., Huang J., Du X. Alterations in regional homogeneity of resting-state brain activity in internet gaming addicts. Behavioral and Brain Functions, 2012. DOI: 10.1186/1744-9081-8-41.
7. Park M., Choi J., Park S. et al. Dysfunctional information processing during an auditory eventrelated potential task in individuals with Internet gaming disorder. Transl Psychiatry, 2016, no. 6. DOI: 10.1038/tp.2015.215.
8. Kim J., Hong H., Lee J. et al. Effects of time perspective and self-control on procrastination and Internet addiction. J Behav Addict., 2017, no. 6(2). pp. 229–236.
9. Motlagh F., Ibrahim F., Rashid R. et al Investigation of Brain Electrophysiological Properties among Heroin Addicts: Quantitative EEG and Event-Related Potentials. Journal of Neuroscience Research, 2016, pp. 1633–1646. DOI: 10.1002/jnr.23988.
10. Meck W.H. Neuropharmacology of timing and time perception. Cognitive Brain Research, 1996, vol. 3 (3-4), pp. 227–242. DOI: 10.1016/0926-6410(96)00009-2.
11. Alústiza I.,.Radua J, Albajes-Eizagirre A. et al. Meta-Analysis of Functional Neuroimaging and Cognitive Control Studies in Schizophrenia: Preliminary Elucidation of a Core Dysfunctional Timing Network. Front Psychol., 2016. DOI:10.3389/fpsyg.2016.00192
12. Malygin V.L., Feklysov K.A., Iskandirova A.B., Antonenko A.A. Methodological approaches to the early detection of Internet-dependent behavior. [Electronic source]. Medical Psychology in Russia: an electronic scientific journal, 2011, no. 6. http://medpsy.ru/mprj/archiv_global/2011_6_11/ nomer/nomer03.php (accessed 20.01.2020).
13. Piras F., Piras F., Ciullo V. Time Dysperception Perspective for Acquired Brain Injury. Front Neurol., 2013. DOI:10.3389/fneur.2013.00217.
14. Polti I., Martin B., Wassenhove V. The effect of attention and working memory on the estimation of elapsed time. Scientific Reports, 2018, vol. 8. DOI: 10.1038/s41598-018-25119-y
15. Kim S.H., Baik S.H., Park C.S. et al. Reduced striatal dopamine D2 receptors in people with Internet addiction. Neuroreport, 2011, pp. 407–411. DOI: 10.1097/WNR.0b013e328346e16e.
16. Fontes R., Ribeiro J., Gupta D. S. et al. Time Perception Mechanisms at Central Nervous System. Neurol Int., 2016. DOI: 10.4081/ni.2016.5939
17. Turel O., Brevers D., Bechara A. Time distortion when users at-risk for social media addiction engage in non-social media tasks. J Psychiatr Res, 2018, no. 2, pp. 84–88. DOI: 10.1016/j.jpsychires.2017.11.014.
18. Üstün S., Kale E.H., Çiçek M. Neural Networks for Time Perception and Working Memory. Front Hum Neurosci, 2017. DOI: 10.3389/fnhum.2017.00083
19. Weinstein A.M. An Update Overview on Brain Imaging Studies of Internet Gaming Disorder. Front Psychiatry, 2017. DOI: 10.3389/fpsyt.2017.00185.
20. Zhu Y., Zhang H., Tian M. Molecular and Functional Imaging of Internet Addiction. Biomed Res Int., 2015. DOI:10.1155/2015/378675.
References on translit
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