Abstract
Although problematic overuse of internet has increased, psychopathological characteristics and neurobiological mechanisms for internet addiction (IA) remain poorly understood. Therefore, it is necessary to investigate the impact of IA on the brain. The present study included 17 subjects with IA and 20 healthy subjects. We constructed the structural brain network from diffusion tensor imaging data and investigated alteration of structural connections in subjects with IA using the network analysis on the global and local levels. The subjects with IA showed increase of regional efficiency (RE) in bilateral orbitofrontal cortex (OFC) and decrease in right middle cingulate and middle temporal gyri (P<0.05), whereas the global properties did not show significant changes. Young's internet addiction test (IAT) scores and RE in left OFC showed positive correlation, and average time spent on internet per day was positively correlated with the RE in right OFC. This is the first study examining alterations of the structural brain connectivity in IA. We found that subjects with IA showed alterations of RE in some brain regions and RE was positively associated with the severity of IA and average time spent on internet per day. Therefore, RE may be a good property for IA assessment.
Original language | English |
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Article number | 1740031 |
Journal | Journal of Mechanics in Medicine and Biology |
Volume | 17 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2017 Nov 1 |
Externally published | Yes |
Bibliographical note
Funding Information:B. S. H. and H. S. S. contributed equally to this work. This research was supported by National Research Foundation of Korea (NRF) funded by the Ministry of Science (2013R1A1A1012361) and the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2016M3C7A1905385).
Publisher Copyright:
© 2017 World Scientific Publishing Company.
Keywords
- Internet addiction
- diffusion tensor imaging
- structural brain network
ASJC Scopus subject areas
- Biomedical Engineering