NEUROLOGICAL EFFECTS OF OVEREXPOSURE TO THE INTERNET: AN INTRODUCTION TO THE SCENARIO
DOI:
https://doi.org/10.25194/rebrasf.v11i1.1627Keywords:
Dependência de Tecnologia, Neuropsicologia, Doenças do Sistema NervosAbstract
Overexposure to the Internet has proliferated, leading to the emergence of so-called “Internet addiction”. The topic of effects on the brain caused by overexposure to the Internet is significant because it is considered a matter of public interest. In this sense, this article proposes to present the main findings of neuroscience about internet addiction and integrates them into a concise theoretical framework. This is a theoretical essay, with a bibliographical approach with a narrative character. E Although this work is not a comprehensive literature review, it does provide important data on some of the research related to the neurological influences of excessive Internet exposure, articulated and organized into related categories. Internet addiction is a significant physical, social, emotional and psychological challenge. Most addiction research seems to focus on personal, social, physical, emotional, or mental factors related to the topic. However, there seem to be few studies focused on cognitive development and its relationship with Internet use, opening up an extensive agenda on the horizon.
References
Brand, M., Young, K. S., Laier, C., Wolfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition- Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252–266. doi:10.1016/j.neubiorev.2016.08.033
Cao F, Su L, Liu T, & Gao X. (2007). The relationship between impulsivity and Internet addiction in a sample of Chinese adolescents. Eur Psychiatry 2007; 22: 466–471. doi: 10.1016/j.eurpsy.2007.05.004
Choi et al. (2014). Dysfunctional inhibitory control and impulsivity in Internet addiction. Psychiatry Res, 215: 424–428. doi: 10.1016/j.psychres.2013.12.001.
Cudo, A., Dobosz, M., Jarzabek-Cudo, A., & Basaj, L. (2019). Problematic Internet use and intrapersonal and interpersonal attitudes in adolescents. Postepy Psychiatrii I Neurologgi, 25(3), 159–178.
D`Hondt, F., Billieux, J., & Maurage, P. (2015). Electrophysiological correlates of problematic Internet use: Critical review and perspectives for future research. Neuroscience & Biobehavioral Reviews, 59, 64-82. doi:10.1016/j.neubiorev.2015.10.005
Dong G, Lu Q, Zhou H, & Zhao X. (2010). Impulse inhibition in people with Internet addiction disorder: Electrophysiological evidence from a Go/NoGo study. Neurosci. Lett, 485(2): 138–142.
Dong, G., Zhou, H., & Zhao, X. (2012). Male Internet addicts show impaired executive control ability: Evidence from a color-word Stroop task. Neuroscience Letters, 499(2), 114–118. doi:10.1016/j.neulet.2011.05.047
Fauth-Bühler, M., Zois, E., Vollstädt-Klein, S., Lemenager, T., Beutel, M., & Mann, K. (2014). Insula and striatum activity in effort-related monetary reward processing in gam- bling disorder: The role of depressive symptomatology. NeuroImage. Clinical, 6, 243–251. http://dx.doi.org/10.1016/j.nicl.2014.09.008.
Gindrat, A. D., Chytiris, M., & Balerna, M. (2015). Use-dependent cortical processing from fingertips in touchscreen phone users. Current Biology, 25(1), 109–116. doi:10.1016/j.cub.2014.11.026
Gola, M. (2016). Neuronalne mechanizmy zachowan nalogowych. In B. Habrat (Ed.), Zaburzemia uprawiania hazardu I inne tak zwane nalogi behawioralne (pp. 54-70). Warsaw: Institute of Psychiatry and Neurology.
Hultsch, D. F., Hertzog, C., & Small, B. J. (1999). Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging? Psychology and Aging, 14(2), 245–263. doi:10.1037/0882-7974.14.2.245
Jakubczyk A, & Wojnar M. (2009). Neurobiologia impulsywności i jej implikacje kliniczne. Postępy Psy-chiatrii i Neurologii, 18(4): 357–365.
Kałwa A. (2013). Impulsivity and decision making in alcohol-addicted individuals. Psychiatr. Pol., 47(2): 325–334.
King, D. L., Delfabbro, P. H., Griffiths, M. D., & Gradisar, M. (2012). Cognitive-behavioral approaches to outpatient treatment of internet addiction in children and adolescents. J. Clin. Psychol., 68, 1185–1195. https://doi.org/10.1002/jclp.21918
Ko CH, Liu GC, Hsiao S, Yen JY, & Yang MJ, et al. (2009) Brain activitives associated with gaming urge of online gaming addiction. J Psychiatr Res, 43: 739–747.
Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2013). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 1(4), 397–413. doi:10.2174/13816128113199990617
Levy, R. (1994). Aging-associated cognitive decline. International Psychogeriatrics, 6(2), 63–68. doi:10.1017/S1041610294001626
Li, W., Li, Y., Yang, W., Zhang, Q., Wei, D., & Li, W. (2015). Brain structures and functional connectivity associated with individual differences in Internet tendency in healthy young adults. Neuropsychologia, 70, 134–144. doi:10.1016/j.neuropsychologia.2015.02.019
McClure, S. M., Laibson, D. I., & Loewenstein, G. (2004). Separate neural systems value immediate and delayed monetary rewards. Science, 306(5695), 503–507. doi:10.1126/science.1100907
Nie, J., Zhang, W., Chen, J., & Li, W. (2016). Impaired inhibition and working memory in response to internet-related words among adolescents with internet addiction: A comparison with attention-deficit/hyperactivity disorder. Psychiatry Research, 236, 28–34. doi:10.1016/j.psychres.2016.01.004
Oulasvirta, A., Rattenbury, T., & Ma, I. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16, 105–114.
Paus, T. (2005). Mapping brain maturation and cognitive development during adolescence. Trends in Cognitive Sciences, 9, 60–68. doi:10.1016/j.tics.2004.12.008
Seok JW, Lee KH, Sohn S, & Sohn JH. (2015). Neural substrates of risky decision making in individuals with Internet addiction. Aus. N. Z. J. Psychiatry, 49(10): 923–932.
Souza, A. C., Moraes, M. C. L., Martins, L. T., Fróes, M. B. C., Salzano, E. S., & Moura, M. R. J. (2018). Trânsito como temática interdisciplinar em promoção da saúde. Revista Interdisciplinar de Estudos em Saúde, 7(1), 187-203
SOUZA, A. C.; OLIVEIRA, I. M. MARTINS, L. T. Promoção da Saúde: espaço interdisciplinar para o estudo do estilo de vida.EFDesportes, v. 218, p. 1-4, Jun, 2016.
Small, B. J., Dixon, R. A., & MacArdle, J. J. (2012). Do changes in lifestyle engagement moderate cognitive decline in normal aging? Evidence from the Victoria Longitudinal Study. Neuropsychology, 26(2), 144–155. doi:10.1037/a0026579
Steinberg L. (2005). Cognitive and affective development in adolescence. Trends Cogn Sci. 9(2): 69–74. doi: 10.1016/j.tics.2004.12.005
Sun, D., Chen, Z., Ma, N., Zhang, X., Fu, X., & Zhang, D. (2009). Decision-making and prepotent response inhibition functions in excessive internet users. CNS Spectrums, 14(2), 75–81. doi:10.1017/s1092852900000225
Wee C-Y, Zhao Z, Yap P-T, Wu G, & Shi F, et al. (2014) Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study. PLoS ONE 9(9): e107306. doi:10.1371/journal.pone.0107306
Wilcockson, T. D., Ellis, D. A., & Shaw, H. (2018). Determining typical smartphone usage: What data do we need? Cyberpsychology, Behavior, and Social Networking, 21(6), 395–398. doi:10.1089/cyber.2017.0652
Yuan K, Jin C, Cheng P, Yang X, Dong T, Bi Y, et al. (2013). Amplitude of Low Frequency Fluctuation Abnormalities in Adolescents with Online Gaming Addiction. PLoS ONE 8(11): e78708. https://doi.org/10.1371/journal.pone.0078708
Young, K. S., Yue, X. D., & Ying, L. (2011). Prevalence estimates and etiologic models of Internet addiction. In K. S. Young & C. A. Nabuco (Eds.), Internet addiction: A handbook and guide to evaluation and treatment (pp. 3-18). Hoboken, NJ: John Wiley & Sons.
Zhou, P., Zhang, C., Liu, J., & Wang, Z. (2017). The relationship between resilience and internet addiction: a multiple mediation model through peer relationship and depression. Cyberpsychology, Behavior, and Social Networking, 20(10), 634‐639.
Zhou, F., Montag, C., & Sariyska, R. (2019). Orbitofrontal gray matter deficits as marker of Internet gaming disorder: Converging evidence from a cross-sectional and prospective longitudinal design. Addiction Biology, 24(1), 100–109. doi:10.1111/adb.12570
