Altered Resting-State Functional Connectivity in Internet Addicts

The purpose of this study was to examine functional disconnectivity in Internet addicts using resting-state functional Magnetic Resonance Imaging (rs fMRI). Internet addicts and demographically similar non-addicts were scanned using rs fMRI. For the connectivity analysis, Regions Of Interests (ROIs) were defined based on previous studies of addictions. The functional connectivity assessment for each subject was obtained by correlating time-series across the ROIs, resulting in 8x8 matrix for each subject. Within-group functional connectivity patterns were observed by entering the z maps of the ROIs of each subject into second-level one sample t test. Two sample t test was also performed to examine differences between two groups. A significant increase was observed in positive functional connectivity between the Orbito Frontal Cortex (OFC) and several brain regions in the nonaddicted group. However, no significant correlations in these structural connectivities were found in the Internet addiction group. The Internet addiction group presented significant negative connectivity between the OFC and insula. Our findings provide the evidence that Internet addicts have aberrant functional connectivity in the corticostriatal circuit at resting state. Particularly, we suggest that the OFC, which is associated with processing negative affect and behavioral inhibition, may play a crucial role in the pathophysiology of the Internet addiction. Keywords-Resting-state fMRI; Internet addicts; Functional connectivity; Orbitofrontal cortex

[1]  Jerald J. Block,et al.  Prevalence Underestimated in Problematic Internet Use Study , 2007, CNS Spectrums.

[2]  Sun-Mi Cho,et al.  An Assessment of Adolescent Internet Addiction Problems Related to Depression, Social Anxiety and Peer Relationship , 2001 .

[3]  G. Dong,et al.  Impaired inhibitory control in ‘internet addiction disorder’: A functional magnetic resonance imaging study , 2012, Psychiatry Research: Neuroimaging.

[4]  Paul J. Laurienti,et al.  An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets , 2003, NeuroImage.

[5]  M. Fox,et al.  The global signal and observed anticorrelated resting state brain networks. , 2009, Journal of neurophysiology.

[6]  F. Cao,et al.  Internet addiction among Chinese adolescents: prevalence and psychological features. , 2007, Child: care, health and development.

[7]  M. Griffiths,et al.  Internet Gaming Addiction: A Systematic Review of Empirical Research , 2012, International Journal of Mental Health and Addiction.

[8]  Abraham Z. Snyder,et al.  Transient BOLD responses at block transitions , 2005, NeuroImage.

[9]  Q. Lu,et al.  Impulse inhibition in people with Internet addiction disorder: Electrophysiological evidence from a Go/NoGo study , 2010, Neuroscience Letters.

[10]  Thomas E. Nichols,et al.  Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate , 2002, NeuroImage.

[11]  Kimberly Young,et al.  Internet Addiction: The Emergence of a New Clinical Disorder , 1998, Cyberpsychology Behav. Soc. Netw..