검색옵션 상세검색
국내 의과학 학술논문 상세

Clinical Psychopharmacology and Neuroscience. 2023 May; 21(2): 8425462. doi: 10.9758/cpn.2023.21.2.304

Altered Functional Connectivity of the Nucleus Accumbens and Amygdala in Cyber Addiction : A Resting State Functional Magnetic Resonance Imaging Study

Minsoo Ko , Su-hyuk Chi , Jong-ha Lee , Sang-il Suh , Moon-Soo Lee*
Affiliations    expand

    • 원문보기

    • 조회

      상세조회 146건

  • Abstract



    Objective : Cyber addiction, which is more vulnerable in adolescents, is defined as the excessive use of computers and the Internet that causes serious psychological, social, and physical problems. In this study, we investigated the resting-state functional connectivity (rsFC) in adolescents with cyber addiction.
    Methods : We collected and analyzed resting-state functional neuroimaging data of 20 patients with cyber addiction, aged 13-18 years, and 27 healthy controls. Based on previous studies, the seed regions included the dorsolateral prefrontal cortex, medial orbitofrontal cortex, lateral orbitofrontal cortex, dorsal anterior cingulate cortex, insula, hippocampus, amygdala, nucleus accumbens, and the ventral tegmental area. Seed-to-voxel analyses were performed to investigate the differences between patients and healthy controls. A correlation analysis between rsFC and cyber addiction severity was also performed.
    Results : Patients with cyber addiction showed the following characteristics: increased positive rsFC between the left insular-right middle temporal gyrus; increased positive rsFC between the right hippocampus-right precentral gyrus; increased positive rsFC between the right amygdala-right precentral gyrus and right parietal operculum cortex; increased negative rsFC between the left nucleus accumbens-right cerebellum crus II and right cerebellum VI.
    Conclusion : Adolescents with cyber addiction show altered functional connectivity during the resting state. The findings of this study may help us better understand the neuropathology of cyber addiction in adolescents.

  • Keywords

  • References

    more references

    1. Khaleghi A, Mohammadi MR, Shahi K, Nasrabadi AM. Computational neuroscience approach to psychiatry: a review on theory-driven approaches. Clin Psychopharmacol Neurosci 2022;20:26-36.

    Article | PubMed | PMC

    2. Lee SW, Kim E, Jang TY, Choi H, Kim S, Song H, et al. Alterations of power spectral density in salience network during thought-action fusion induction paradigm in obsessivecompulsive disorder. Clin Psychopharmacol Neurosci 2022;20:415-426.

    Article | PubMed | PMC

    3. Oh YE, Nguyen TB, Rami FZ, Karamikheirabad M, Chung YC.Impact of social defeat stress on DNA methylation in Drd2,Nr3c1, and Stmn1 in wild-type and Stmn1 knock-out mice.Clin Psychopharmacol Neurosci 2022;20:51-60.

    Article | PubMed | PMC

    4. Ernst M, Pine DS, Hardin M. Triadic model of the neurobiology of motivated behavior in adolescence. Psychol Med 2006;36:299-312.

    Article | PubMed | PMC

    5. Pine DS, Cohen P, Brook JS. Emotional reactivity and risk for psychopathology among adolescents. CNS Spectr 2001;6:27-35.

    Article | PubMed

    6. Saville BK, Gisbert A, Kopp J, Telesco C. Internet addiction and delay discounting in college students. Psychol Rec 2010;60:273-286.

    Article

    7. Kim YJ, Kim DJ, Choi JS. The cognitive dysregulation of Internet addiction and its neurobiological correlates. Front Biosci (Elite Ed) 2017;9:307-320.

    Article | PubMed

    8. Ko CH, Liu GC, Hsiao S, Yen JY, Yang MJ, Lin WC, et al. Brain activities associated with gaming urge of online gaming addiction.J Psychiatr Res 2009;43:739-747.

    Article | PubMed

    9. Dong G, Hu Y, Lin X, Lu Q. What makes Internet addicts continue playing online even when faced by severe negative consequences? Possible explanations from an fMRI study. Biol Psychol 2013;94:282-289.

    Article | PubMed



G
N
I
D
A
O
L