Disrupted brain functional network in internet addiction disorder: a resting-state functional magnetic resonance imaging study
- PMID: 25226035
- PMCID: PMC4165900
- DOI: 10.1371/journal.pone.0107306
Disrupted brain functional network in internet addiction disorder: a resting-state functional magnetic resonance imaging study
Abstract
Internet addiction disorder (IAD) is increasingly recognized as a mental health disorder, particularly among adolescents. The pathogenesis associated with IAD, however, remains unclear. In this study, we aim to explore the encephalic functional characteristics of IAD adolescents at rest using functional magnetic resonance imaging data. We adopted a graph-theoretic approach to investigate possible disruptions of functional connectivity in terms of network properties including small-worldness, efficiency, and nodal centrality on 17 adolescents with IAD and 16 socio-demographically matched healthy controls. False discovery rate-corrected parametric tests were performed to evaluate the statistical significance of group-level network topological differences. In addition, a correlation analysis was performed to assess the relationships between functional connectivity and clinical measures in the IAD group. Our results demonstrate that there is significant disruption in the functional connectome of IAD patients, particularly between regions located in the frontal, occipital, and parietal lobes. The affected connections are long-range and inter-hemispheric connections. Although significant alterations are observed for regional nodal metrics, there is no difference in global network topology between IAD and healthy groups. In addition, correlation analysis demonstrates that the observed regional abnormalities are correlated with the IAD severity and behavioral clinical assessments. Our findings, which are relatively consistent between anatomically and functionally defined atlases, suggest that IAD causes disruptions of functional connectivity and, importantly, that such disruptions might link to behavioral impairments.
Conflict of interest statement
Figures
![Figure 1](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/4165900/bin/pone.0107306.g001.gif)
![Figure 2](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/4165900/bin/pone.0107306.g002.gif)
![Figure 3](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/4165900/bin/pone.0107306.g003.gif)
Similar articles
-
Increased regional homogeneity in internet addiction disorder: a resting state functional magnetic resonance imaging study.Chin Med J (Engl). 2010 Jul;123(14):1904-8. Chin Med J (Engl). 2010. PMID: 20819576
-
Decreased functional brain connectivity in adolescents with internet addiction.PLoS One. 2013;8(2):e57831. doi: 10.1371/journal.pone.0057831. Epub 2013 Feb 25. PLoS One. 2013. PMID: 23451272 Free PMC article.
-
Altered brain functional networks in people with Internet gaming disorder: Evidence from resting-state fMRI.Psychiatry Res Neuroimaging. 2016 Aug 30;254:156-63. doi: 10.1016/j.pscychresns.2016.07.001. Epub 2016 Jul 6. Psychiatry Res Neuroimaging. 2016. PMID: 27447451
-
Abnormal white matter integrity in adolescents with internet addiction disorder: a tract-based spatial statistics study.PLoS One. 2012;7(1):e30253. doi: 10.1371/journal.pone.0030253. Epub 2012 Jan 11. PLoS One. 2012. PMID: 22253926 Free PMC article.
-
Is there a shared neurobiology between aggression and Internet addiction disorder?J Behav Addict. 2014 Mar;3(1):12-20. doi: 10.1556/JBA.3.2014.1.2. Epub 2014 Mar 24. J Behav Addict. 2014. PMID: 25215210 Free PMC article. Review.
Cited by
-
Associations between levels of Internet Gaming Disorder symptoms and striatal morphology-replication and associations with social anxiety.Psychoradiology. 2022 Nov 29;2(4):207-215. doi: 10.1093/psyrad/kkac020. eCollection 2022 Dec. Psychoradiology. 2022. PMID: 38665272 Free PMC article.
-
Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study.J Behav Addict. 2024 Feb 6;13(1):120-133. doi: 10.1556/2006.2023.00077. Print 2024 Mar 26. J Behav Addict. 2024. PMID: 38324061 Free PMC article.
-
The Effects of Digital Addiction on Brain Function and Structure of Children and Adolescents: A Scoping Review.Healthcare (Basel). 2023 Dec 20;12(1):15. doi: 10.3390/healthcare12010015. Healthcare (Basel). 2023. PMID: 38200921 Free PMC article. Review.
-
Reduced Cortical Complexity in Children with Developmental Delay in Saudi Arabia.Cureus. 2023 Nov 5;15(11):e48291. doi: 10.7759/cureus.48291. eCollection 2023 Nov. Cureus. 2023. PMID: 38058330 Free PMC article.
-
Internet addiction induced critical fusion frequency among young adults.Bioinformation. 2023 Jul 31;19(7):816-819. doi: 10.6026/97320630019816. eCollection 2023. Bioinformation. 2023. PMID: 37901295 Free PMC article.
References
-
- Ng BD, Wiemer-Hastings P (2005) Addiction to the internet and online gaming. Cyberpsychol Behav 8: 110–113. - PubMed
-
- Young KS (1998) Internet addiction: The emergence of a new clinical disorder. Cyberpsychol Behav 1: 237–244.
-
- Ko CH, Yen JY, Yen CF, Chen CS, Chen CC (2012) The association between internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry 27: 1–8. - PubMed
-
- Block J (2006) Prevalence underestimated in problematic internet use study. CNS Spectr 12: 14–15. - PubMed
-
- Fitzpatrick JJ (2008) Internet addiction: Recognition and interventions. Arch Neurol 22: 59–60. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical