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Abstract #4151

Differences in the structural brain network analysis between internet addicted adolescents and healthy adolescents

Min-Hee Lee1, Yoon Ho Hwang1, Areum Min1, Dong Youn Kim1, Bong Soo Han2, and Hyung Suk Seo3

1Department of Biomedical Engineering, Yonsei University, Wonju, Korea, Republic of, 2Department of Radiological Science, Yonsei University, Wonju, Korea, Republic of, 3Department of Radiology, Korea University Ansan Hospital, Ansan, Korea, Republic of

Although Internet addiction (IA) has been increasingly considered as a serious public health issue for adolescents, its neurobiological mechanisms remain poorly understood. Therefore, new biomarkers are needed to understanding IA. Using diffusion tensor images for IA and healthy adolescents, we analyzed brain network to reveal structural alterations in brain of IA adolescents. IA adolescents showed increase of regional efficiency in bilateral superior orbitofrontal cortex, right rectus and parahippocampal gyrus. Severity of IA is correlated with regional efficiency of brain regions which showed differences between groups. The brain network analysis can be used to disclose potential functional deficits in IA.

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