Comparative analysis of cortical anatomy in male participants with internet gaming disorder or tobacco use disorder: Insights from normative modeling

Ma, Xuefeng and Jiang, Anhang and Dai, Junhong and Li, Shuang and Chen, Hongan and Xie, Yong and Wang, Shizhen and Yang, Bo and Wang, Lingxiao and Dong, Guang-Heng (2024) Comparative analysis of cortical anatomy in male participants with internet gaming disorder or tobacco use disorder: Insights from normative modeling. JOURNAL OF BEHAVIORAL ADDICTIONS, 13 (3). pp. 841-853. ISSN 2062-5871 (print); 2063-5303 (online)

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Abstract

Background Research on individual differences in brain structural features of internet gaming disorder (IGD) and established addictions such as tobacco use disorder (TUD) is currently limited. This study utilized normative modeling to analyze the cortical thickness (CT) development patterns of male patients with IGD and TUD, aiming to provide further insights into whether IGD qualifies as an addiction. Methods Surface-based brain morphometry (SBM) was used to calculate CT from T1-weighted magnetic resonance imaging data of 804 male participants (665 healthy individuals, 68 IGD and 71 TUD). Gaussian process regression was employed to generate normative models of CT development. Deviation maps were produced to depict deviations of IGD and TUD participants from the typical developmental patterns. Results Both addiction groups exhibited widespread cortical thinning, particularly in regions such as the bilateral temporal pole and medial orbitofrontal cortex. The TUD group demonstrated a higher degree of individualization and limited spatial overlap compared to the IGD group. Opposite trends in CT changes were observed between the two groups in the bilateral pericalcarine cortex and pars triangularis. Conclusions These findings regarding the similarities and differences between IGD and TUD provide support for the idea that IGD shares common features with substance-related addictions and contribute to a deeper understanding of the neural mechanisms underlying IGD.

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