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

Area of Science:

• Neuroscience
• Psychiatry
• Computational Neuroscience

Background:

• Internet addiction is increasingly recognized as a mental disorder.
• Compulsive internet use can lead to negative psychological effects.
• Understanding the neural basis of internet addiction is crucial.

Purpose of the Study:

• To explore the relationship between whole-brain functional connections at rest and internet addiction levels.
• To identify specific brain networks associated with internet addiction tendency.
• To compare neural patterns in internet addiction with established addiction literature.

Main Methods:

• Employed network-based statistics to analyze resting-state functional connectivity.
• Used a self-rated questionnaire to quantify internet addiction levels.
• Conducted a meta-analysis of existing internet addiction studies.

Main Results:

• Identified two significant networks: one positively correlated, one negatively correlated with internet addiction tendency.
• Observed interconnections between these networks primarily in frontal regions, suggesting altered cognitive control.
• Found that brain regions and connections associated with internet addiction tendency align with those in other addiction literature and the cerebellar model of addiction.

Conclusions:

• Pre-clinical levels of internet addiction exhibit similar brain network alterations as clinical addiction cases.
• This research enhances understanding of large-scale brain networks involved in internet addiction.
• Findings highlight the role of frontal regions and cerebellar addiction models in internet addiction.