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Decreased Functional Brain Connectivity in Adolescents with Internet Addiction
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 c...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3581468/ https://www.ncbi.nlm.nih.gov/pubmed/23451272 http://dx.doi.org/10.1371/journal.pone.0057831 |
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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 |
author_facet | 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 |
author_sort | Hong, Soon-Beom |
collection | PubMed |
description | 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 circuitry. METHODS: Participants were 12 adolescents diagnosed with internet addiction and 11 healthy comparison subjects. Resting-state 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 small-worldness 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. |
format | Online Article Text |
id | pubmed-3581468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35814682013-02-28 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 Yi, Soon-Hyung PLoS One Research Article 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 circuitry. METHODS: Participants were 12 adolescents diagnosed with internet addiction and 11 healthy comparison subjects. Resting-state 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 small-worldness 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. Public Library of Science 2013-02-25 /pmc/articles/PMC3581468/ /pubmed/23451272 http://dx.doi.org/10.1371/journal.pone.0057831 Text en © 2013 Hong et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article 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 Decreased Functional Brain Connectivity in Adolescents with Internet Addiction |
title | Decreased Functional Brain Connectivity in Adolescents with Internet Addiction |
title_full | Decreased Functional Brain Connectivity in Adolescents with Internet Addiction |
title_fullStr | Decreased Functional Brain Connectivity in Adolescents with Internet Addiction |
title_full_unstemmed | Decreased Functional Brain Connectivity in Adolescents with Internet Addiction |
title_short | Decreased Functional Brain Connectivity in Adolescents with Internet Addiction |
title_sort | decreased functional brain connectivity in adolescents with internet addiction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3581468/ https://www.ncbi.nlm.nih.gov/pubmed/23451272 http://dx.doi.org/10.1371/journal.pone.0057831 |
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