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34 reviewsABSTRACTKeywords:Adolescents and young adults are considered a high-risk group for internet gaming disorder (IGD). Early Internet gaming disorderscreening for high-risk individuals with IGD and exploring the underlying neural mechanisms is an effective Adolescents and young adultsstrategy to reduce the harm of IGD. We recruited 219 non-internet gaming addicted college students and evalPrefrontal cortexuated them with magnetic resonance imaging, followed by a two-year longitudinal follow-up. We used functional Impulsivityconnectome gradient (FCG) to capture the macroscopic hierarchical organization of human brain. Canonical Risk factorcorrelation analysis was employed to identify components mapping relationships between FCG and behavioral Functional connectome gradientscores. Consequently, K-means clustering was used to define distinct subtypes. The risk of developing IGD and Magnetic resonance imagingFCG patterns were compared among the subtypes. Three subtypes were identified and subtype 3 exhibited the highest risk for developing IGD according to the occurrence rates of IGD two years later: (1) subtype 1 (5.3 %, 4 participants), (2) subtype 2 (10.8 %, 9 participants), (3) subtype 3 (20 %, 12 participants). The abnormal FCG in the inferior frontal gyrus and posterior cingulate cortex at baseline were observed in subtype 3, which were correlated with impulsivity. These findings advanced understanding of the biological and behavioral heterogeneity associated with developing of IGD, and represented a promising step toward the prediction of high-risk individuals.