Network-Based Analysis Reveals Functional Connectivity Related to Internet Addiction Tendency

摘要: Introduction Preoccupation and compulsive use of the internet can have negative psychological effects, such that it is increasingly being recognized as a mental disorder. The present study employed network-based statistics to explore how whole-brain functional connections at rest related extent individual’s level addiction, indexed by self-rated questionnaire. We identified two topologically significant networks, one with are positively correlated addiction tendency, negatively tendency. networks interconnected mostly frontal regions, which might reflect alterations in region for different aspects cognitive control (i.e., usage gaming skills). Next, we categorized brain into several large regional subgroupings, found majority proportions correspond cerebellar model encompasses four-circuit model. Lastly, observed regions most inter-regional associated tendency replicate those often seen literature, corroborated our meta-analysis studies. This research provides better understanding large-scale involved shows pre-clinical levels similar clinical cases addiction.