Diagnosing Cognitive Impairments of Cyber Addiction with QEEG and Investigating the Effectiveness of Cognitive Intervention on the Cognitive Functions Involved in the Mental Imagery of Adolescents

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 59

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شناسه ملی سند علمی:

JR_IJLM-6-24_006

تاریخ نمایه سازی: 12 خرداد 1403

چکیده مقاله:

Human society faces new challenges, especially the ones damaging the human brain and cognition. The addictive use of cyberspace essentially causes these challenges. This study was a comparative descriptive-analytical study conducted to diagnose cognitive impairments of cyber addiction through a QEEG test and to investigate the effectiveness of cognitive intervention on the cognitive functions involved in the mental imagery of adolescents. The statistical population of the study included ۹-۱۲ year-old students who visited Mehraz Andisheh clinic in Shiraz. The available sampling method was used and ۴۰ people with research conditions (including ۲۰ girls and ۲۰ boys) were randomly assigned to two control and experimental groups. This research was conducted in ۲۰۲۳. The study used a mobile-based social network addiction diagnosis questionnaire (Ahmadi et al.; ۲۰۱۵), software (RehaCom et al., IVA-۲, Neuroguide), an EEG device, and Kim Carrad visual memory test. After being selected and called to the place of research, people who had the conditions to enter the study first completed the consent form. Then, the  EEG recording was conducted for ۵ minutes with eyes open and closed. Also, as a pre-test, they performed a visual attention test (IVA-۲) for visual memory (Kim Carrad test) and a visual processing test (Captain Log). Then, for ten sessions, the participants in the experimental group received cognitive rehabilitation by RehaCom software, each lasting for ۴۵ minutes with an interval of one day. After the completion of the treatment sessions, the evaluations were repeated. In this research data analysis was done using SPSS software ۲۶ and Analysis of Covariance (ANCOVA). The study findings showed that the cognitive intervention led to a significant difference at the ۰.۰۵ level in the pre-test and post-test scores of the experimental group while there was no significant difference between the pre-test and the post-test in the control group. Based on the results, it can be seen that the intervention led to a difference in the pre-test and post-test and a significant difference between the pre-test and post-test groups in the experimental group at the ۰.۰۵ level. The study results also showed a significant relationship between the cognitive impairments of cyber addiction and brain wave patterns. These results emphasize that brain signals may be used as an indicator to diagnose cognitive impairment in people with cyber addiction. Also, the results showed that RehaCom software could improve the cognitive functions involved in the mental imagery of teenagers suffering from Internet addiction.

نویسندگان

Mohammad Azhdarloo

MA General Psychology, Islamic Azad University Marvdasht branch, Marvdasht, iran.

Abbas ali soleymani khashab

faculty member of Psychology, Social and Cultural Faculty, Imam Hossein University, Tehran, I.R.Iran

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  • Akbari, M. (۲۰۱۷). Metacognitions or distress intolerance: The mediating role ...
  • Anderson, E. L., Steen, E., & Stavropoulos, V. (۲۰۱۷). Internet ...
  • Barry, R. J., Clarke, A. R., & Johnstone, S. J. ...
  • Błachnio, A., Przepiorka, A.M., Senol-Durak, E., Durak, M., & Sherstyuk, ...
  • Brand, M., Young, K.S., Laier, C., Wölfling, K., & Potenza, ...
  • Farrokh Alaee, F., Soleimani, H., Haghir, H., Aghayusefi, A., & ...
  • Gazzaniga, M. S., Ivry, R. B., & Mangun, G. R. ...
  • Heinrichs, R. W., & Zakzanis, K. K. (۲۰۱۹). Neurocognitive deficit ...
  • Herculano-Houzel, S. (۲۰۱۹). The human advantage: A new understanding of ...
  • Insel, T. R. (۲۰۱۸). Rethinking schizophrenia. Nature, ۴۶۸(۷۳۲۱), ۱۸۷-۱۹۳ ...
  • Khajeahmadi, M., Pooladi, S., & Bahreini, M. (۲۰۱۷). Design and ...
  • King, D.L., Delfabbro, P.H., Doh, Y.Y., Wu, A.M.S., Kuss, D.J., ...
  • King, D.L., Herd, M.C.E., & Delfabbro, P.H. (۲۰۱۷). Tolerance in ...
  • Kornoghabi, R., Asoudeh, M., & Mohammadi, M. (۲۰۲۲). The Effectiveness ...
  • Kuss, D.J., & Griffiths, M.D. (۲۰۱۱). Online social networking and ...
  • Lezak, M. D. (۱۹۸۳). A clinician's perspective of neuropsychological assessment. ...
  • Logothetis, N. K. (۲۰۱۸). What we can do and what ...
  • Makinodan, M., & Komori, T. (۲۰۱۹). Neuroplasticity along the lifespan. ...
  • Marsh, H. W., Hau, K. T., & Wen, Z. (۲۰۰۴). ...
  • Merzenich, M. M., & DeCharms, R. (۲۰۱۸). Neural representations, experience, ...
  • Montag, C., Błaszkiewicz, K., Sariyska, R. et al. Smartphone usage ...
  • Snyder, H. R., & Hutchison, N. (۲۰۱۹). Neuroimaging-based markers for ...
  • Sporns, O. (۲۰۱۸). Structure and function of complex brain networks. ...
  • Sweller, J. (۱۹۸۸). Cognitive load during problem solving: Effects on ...
  • Thakor, N. V., & Tong, S. (۲۰۱۸). Advances in Quantitative ...
  • Thatcher, R. W. (۲۰۱۹). Quantitative EEG and neurofeedback in the ...
  • Wee, C.Y., Zhao, Z., Yap, P.T., Wu, G., Shi, F., ...
  • Weinstein, A., & Lejoyeux, M. (۲۰۱۰). Internet addiction or excessive ...
  • Wu, A.M.S., Chen, J.H., Tong, K.K., Yu, S., Lau J.T.F. ...
  • Yuste, R. (۲۰۱۹). From the neuron doctrine to neural networks. ...
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