Abstract
Introduction. The volume of the Internet audience is rapidly growing, which encourages psychologists and medicals to study Internet addiction, psychology and psychobiology of overly Internet-addicted individuals. Internet addiction has a number of specific properties, but it has common features with chemical addictions. The question of the differential diagnosis of Internet addiction and the validity of its inclusion in the glossary of neuropsychiatric diseases remains open. The aim of the study is a theoretical analysis of the similarities and differences of dependence on digital media in comparison with chemical forms of addiction, the development of methods for differential diagnosis of Internet addiction. Theoretical justification. Neuroplasticity and interactions of genes with the environment, identified in patients with mental and neuropsychiatric disorders of an affective nature, are considered as mechanisms for the transition of excessive Internet involvement into Internet addiction. Neuroplasticity and genetic control of dopamine synthesis and metabolism in cyber-gaming have been founded to be important. Dopamine regulates emotional experiences and cognitive functions characteristic of Internet addicts. In previous studies, we experimentally confirmeda high correlation the R-R-intervals fluctuations as a marks of the autonomic nervous system (ANS) function, which is involved in the formation of negative emotions and reactions to stress, and the behavior of adolescents on the Internet. Discussion. The main directions of the development of differential diagnosis of Internet addiction are psychodiagnostics of adolescents' behavior on the Internet and their individual and personal characteristics, psychophysiological study of the characteristics of ANS in relation with the behavior of adolescents on the Internet.
References
Богачева, Н. В. (2017). Проблема установления причинно-следственных связей в киберпсихологии в контексте психологических особенностей игроков в компьютерные игры. Журнал Государство и граждане в электронной среде, 1, 315–327. https://doi.org/10.17586/2541-979X-2017-1-315-327
Веракса, А. Н., Корниенко, Д. С., Чурсина, А. В. (2021). Мотивы использования соцсетей, факторы онлайн-риска и психологическое благополучие подростков в связи с интеграцией социальных сетейв ежедневную активность. Российский психологический журнал, 18(4), 30–47. https://doi.org/10.21702/rpj.2021.4.3
Галанин, И. В., Нарышкин, А. Г., Горелик, А. Л., Табулина, С. Д., Михайлов, В. А., Скоромец, Т. А., Лобзин, С. В. (2015). Современное состояние проблемы нейропластичности в психиатрии и неврологии. Вестник Северо-Западного государственного медицинского университета им. И.И. Мечникова, 7(1), 134–143.
Живолупов, С. А., Самарцев, И. Н. (2009). Нейропластичность: патофизиологические аспекты и возможность терапевтической модуляции. Журнал неврологии и психиатрии им. С.С. Корсакова, 109(4), 78–85.
Зальмунин, К. Ю. & Менделевич, В. Д. (2014). Химические и нехимические аддикции в аспекте сравнительной аддиктологии. Журнал неврологии и психиатрии им. С.С. Корсакова, 114(5-2), 3–8.
Егоров, А. Ю. (2015). Современные представления об интернет-аддикциях и подходах к их коррекции. Медицинская психология в России, 4(33), 1–17.
Ершова, Р. В., Семеняк, И. В. (2021). Сравнительный анализ интернет-зависимости и наркомании в контексте Пятифакторной теории личности. Вестник Вятского государственного университета, 2(140), 102–109. https://doi.org/10.25730/VSU.7606.21.023
Каменская, В. Г., Томанов, Л. В. (2022). Цифровые технологии и их влияние на социальные и психологические характеристики детей и подростков. Экспериментальная психология, 15(1), 139–159. https://doi.org/10.17759/exppsy.2022150109
Каменская, В. Г., Татьянина, Е. В. (2023). Экспериментальное исследование вегетативной нервной системы подростков с разной степенью вовлеченности в цифровую среду. Психология образования в поликультурном пространстве, (4), в печати.
Кибитов, А. О. (2013). Клиническая генетика наркологических заболеваний: роль генов системы дофамина. Вопросы наркологии, 6, 60–80.
Курчанов, Н. А. (2009). Генетика человека с основами общей генетики. СпецЛит.
Мальцев, Д. И., Подгорный, О. В. (2020). Молекулярно-клеточные механизмы регуляции состояния покоя и деления стволовых клеток гиппокампа. Нейрохимия, 37(4), 291–310. https://doi.org/10.31857/S1027813320040056
Николаева, Е. И., Каменская, В. Г. (Ред.). (2020). Аддиктология. Теоретические и экспериментальные исследования формирования аддикций. НИЦ ИНФРА-М.
Павлов, К. И., Мухин, В. Н. (2021). Физиологические механизмы нейропластичности как основа психических процессов и социально-профессиональной адаптации (часть 1). Психология. Психофизиология, 14 (3), 119–136. https://doi.org/10.14529/jpps210312
Пережогин, Л. О. (2020). Патогенетическая модель зависимости от персонального компьютера, видеоигр, интернета и мобильных устройств, обеспечивающих доступ к нему. Психическое здоровье, 4, 11–20. https://doi.org/10.25557/2074-014X.2020.04.11-20
Терещенко, С. Ю., Смольникова, М. В. (2020). Нейробиологические факторы риска формирования интернет-зависимости у подростков: актуальные гипотезы и ближайшие перспективы. Социальная психология и общество, 11(1), 55–71. https://doi.org/10.17759/sps.2020110104
Abbassi, A. Z., Rehman, U., Hassian, R., Ting, D. H., Hiavacs, H., & Qummar, H. (2022). The effect of three violent videogame engagement states on aggressive behavior: A partial least squares structural aquation modeling approach. Fronters Psychology, 13, 918968. https://doi.org/10.3389/fpsyg.2022.918968
Baert, S., Amez, S., Claeskens, M., Daman, Th., Maeckelbergh, A., Omey, E., de Marez, L. (2020). Smartphone Use and Academic Performance: Correlation or Causal Relationship? International Review for Social Sciences, 7322–7346. https://doi.org/10.1111/kykl.12214
Bong Mun, I. (2023). Academic stress and first-/third-person shooter game addiction in a large adolescent sample: A serial mediation model with depression and impulsivity. Computers in Human Behavior, 145, https://doi.org/10.1016/j.chb.2023.107767
Bremner, J. D. (2006). Traumatic stress: effects on the brain. Dialogues in clinical Neuroscience, 8(4), 445–461. https://doi.org/10.31887/DCNS.2006.8.4/jbremner
Buckholtz, J. W., Treadway, M. T., Cowan, R. L., Woodward, N. D., Li, R., Ansari, M. S., Baldwin, R. M., Schwartzman, A. N., Shelby, E. S., Smith, C. E., Kessler, R.M., & Zald, D. H. (2010). «Dopaminergic network differences in human impulsivity». Science, 329, 532–535. https://doi.org/10.1126/science.1185778
Cameron, H. A., & McKay, R. D. (2001). Adult neurogenesis produces a large pool of new granule cells in the dentate gyrus. Journal of Comparative Neurology, 435(4), 406–417. https://doi.org/10.1002/cne.1040
Czeh, B., Müller Keuker, Jeanine I. H., Rygula, R., Abumaria, N., Hiemke, C., Domenici, E. & Fuchs, E. (2007). «Сhronic social stress inhibits cell proliferation in the adult medial prefrontal cortex: hemispheric asymmetry and reversal by fluoxetine treatment». Neuropsychopharmacology, 32, 1490–1503. https://doi.org/10.1038/sj.npp.1301275
Declerck, C. H., Boone, C. & De Brabander, B. (2007). «On feeling in control: a biological theory for individual differences in control perception». Brain and Cognition, 62(2), 143–176. https://doi.org/10.1016/j.bandc.2006.04.004
Henley, J. M., & Wilkinson, K. A. (2016). Synaptic AMPA receptor composition in development, plasticity and disease. Nature Reviews Neuroscience, 17(6), 337–350. https://doi.org/10.1038/nrn.2016.37
Hong, S. B. , Zalesky, A., Cocchi, L., Fornito, A., Choi, E. J., Kim, H. H., Suh, J. E., Kim, C. D., Kim, J. W. & Yi, S. H. (2013). «Decreased functional brain connectivity in adolescents with internet addiction». PLoS One, 8(2), e57831. https://doi.org/10.1371/journal.pone.0057831
Gentile, D. A., Swing, E. L., Lim, C. G., & Khoo, A. (2012). «Video game playing, attention problems, and impulsiveness: evidence of bidirectional causality». Psychology of Popular Media Culture, 1(1), 62–70. https://doi.org/10.1037/a0026969
Kuss, D. J., & Lopez-Fernandez, O. (2016). Internet addiction and problem at Internet use: A systematic review of clinical research. World Journal of Psychiatry, 6(1), 143–176. https://doi.org/10.5498/wjp.v6.i1.143
Leslie, J. H., & Nedivi, E. (2011). Activity-regulated genes as mediators of neural circuit plasticity. Progress in Neurobiology, 94(3), 223–237. https://doi.org/10.1016/j.pneurobio.2011.05.002
Lu, L., Bao, G., Chen, H., Xia, P., Fan, X., Zhang, J., Pei, G. & Ma, L. (2003). Modification of hippocampal neurogenesis and neuroplasticity by social environments. Experimental neurology, 183(2), 600–609. https://doi.org/10.1016/s0014-4886(03)00248-6
Lin, Y., Liu, Y., Fan, W., Tuunainen, V. K, & Deng, Sh. (2021). The relationship between smartphone use and academic performance: A large-scale study. Computers in Human Behavior, 122. https://doi.org/10.1016/j.chb.2021.106835
Marín-López, I., Zych, I., Ortega-Ruiz, R., Hunter, S. C. & Llorent, V. J. (2020). Relations among online emotional content use, social and emotional competencies and cyberbullying. Children and Youth Services Review, 108, 104647. https://doi.org/10.1016/j.childyouth.2019.104647
Mental Health Foundation (2020). Loneliness during coronavirus. URL: Noble, E. P. (1993). D2 dopamin receptor gen: a review of association in alchogolism. Behavior Genetics, 23(2), 119–129. https://doi.org/10.1007/BF01067416
Noble, E.P. (1993). D2 dopamin receptor gen: a review of association in alchogolism. Behavior Genetics, 23(2), 119–129. https://doi.org/10.1007/BF01067416
Ortiz, de Gortary, & Panagiotidi, M. (2023). The interplay between executive function deficits, psychopathological traits and dysfunctional gaming habits in the context of Game Transfer Phenomena. Computer in Behavior, 138.
Park, H. S., Kim, S. H., Bang, S. A., Yoon, E. J., Cho, S. S., & Kim, S. E. (2010). Altered regional cerebral glucose metabolism in internet game over users: a 18F-fluorodeoxyglucose positron emission tomography study. CNS Spectr, 15(3), 159–166. https://doi.org/1017/S1092852900027437
Pavlov, K. I., Mukhin, V. N., Klimenko, V. M., & Anisimov, V. N. (2017). Telomere-telomerase system in aging, norm and pathology. Advances in Gerontology, 30(1), 17–26.
Sunday, O. J., Adesope, O. O., & Maarhuis, P. L. (2021). The effects of smartphone addiction on learning: A meta-analysis Computers in Human Behavior. Computers in Human Behavior Reports, 4. https://doi.org/10.1016/j.chbr.2021.100114
Schønning, V., Hjetland, G. J., Aarø, L. E. & Skogen, J. C. (2020). Social media use and mental health and well-being among adolescents – A scoping review. Frontiers in Psychology, 11, 1949. https://doi.org/10.3389/fpsyg.2020.01949
Siegel, S. A. (1978). Pavlovian conditioning analysis of morphine tolerance. NDA Research Monographs.
Zainuddin, Z., Chu, S., Shujahat, M., & Perera, C. J. (2020). The impact of gamification on learning and instruction: A systematic review of empirical evidence. Educational Research Review, 30(1), 100326. https://doi.org/10.1016/j.edurev.2020.100326
Zhou, O. J., Xin, L.V., Wang, L., Li, J., & Ga, X. (2023) What increases the risk of gamer being addictive? An integrated network model of personality-emotion-motivation of gaming desorders. Comuter in Human Behavior, 141. https://doi.org/10.1016/j.chb.2022.107647
Yuan, K. , Cheng, P., Dong, T., Bi, Y., Xing, L., Yu, D., Zhao, L., Dong, M., Deneen, K., Liu, Y., Qin, W., & Tian, J. (2013). Cortical thickness abnormalities in late adolescence with online gaming addiction. PLoS One, 8(1), e53055. https://doi.org/10.1371/journal.pone.0053055
Rooij, A., Kuss, D., Griffiths, M., Shorter, G., Schoenmakers, M., & Mheen, D. (2014). The (co-) occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents. Journal of Behavioral Addictions, 3(3), 157–165. https://doi.org/10.1556/JBA.3.2014.013
Uncapher, M., & Wagner, A. (2018). Minds and brains of media multitaskers: Current findings and future directions. PNAS, 115(40), 9889–9896. https://doi.org/10.1073/pnas.1611612115
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