Decreased Functional Brain Connectivity in Adolescents with Internet Addiction

Hong, Soon-Beom, Zalesky, Andrew, Cocchi, Luca, Fornito, Alex, Choi, Eun-Jung, Kim, Ho-Hyun, Suh, Jeong-Eun, Kim, Chang-Dai, Kim, Jae-Won and Yi, Soon-Hyung (2013) Decreased Functional Brain Connectivity in Adolescents with Internet Addiction. PLoS One, 8 2: . doi:10.1371/journal.pone.0057831

Author Hong, Soon-Beom
Zalesky, Andrew
Cocchi, Luca
Fornito, Alex
Choi, Eun-Jung
Kim, Ho-Hyun
Suh, Jeong-Eun
Kim, Chang-Dai
Kim, Jae-Won
Yi, Soon-Hyung
Title Decreased Functional Brain Connectivity in Adolescents with Internet Addiction
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2013-02
Sub-type Article (original research)
DOI 10.1371/journal.pone.0057831
Open Access Status DOI
Volume 8
Issue 2
Total pages 8
Place of publication San Francisco, CA United States
Publisher Public Library of Science
Collection year 2014
Language eng
Formatted abstract
Background: Internet addiction has become increasingly recognized as a mental disorder, though its neurobiological basis is unknown. This study used functional neuroimaging to investigate whole-brain functional connectivity in adolescents
diagnosed with internet addiction. Based on neurobiological changes seen in other addiction related disorders, it was predicted that connectivity disruptions in adolescents with internet addiction would be most prominent in cortico-striatal

Methods: Participants were 12 adolescents diagnosed with internet addiction and 11 healthy comparison subjects. Restingstate functional magnetic resonance images were acquired, and group differences in brain functional connectivity were
analyzed using the network-based statistic. We also analyzed network topology, testing for between-group differences in key graph-based network measures.

Results: Adolescents with internet addiction showed reduced functional connectivity spanning a distributed network. The majority of impaired connections involved cortico-subcortical circuits (,24% with prefrontal and ,27% with parietal cortex). Bilateral putamen was the most extensively involved subcortical brain region. No between-group difference was observed in network topological measures, including the clustering coefficient, characteristic path length, or the smallworldness ratio.

Conclusions: Internet addiction is associated with a widespread and significant decrease of functional connectivity in
cortico-striatal circuits, in the absence of global changes in brain functional network topology.
Keyword Heroin Dependent Individuals
Spontaneous Fluctuations
Affective Disorders
Prefrontal Cortex
Basal Ganglia
Resting Brain
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 38 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 41 times in Scopus Article | Citations
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