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Discriminating Pathological and Non-pathological Internet Gamers Using Sparse Neuroanatomical Features.

Chang-Hyun Park1, Ji-Won Chun1, Hyun Cho1,2

  • 1Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, South Korea.

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Summary

Neuroimaging can distinguish between individuals with Internet Gaming Disorder (IGD) and healthy individuals. Brain structure differences identified via MRI support DSM-5 criteria for IGD.

Keywords:
diagnostic classificationdiffusion-weighted MRIinternet gaming disorderregularized regressionstructural MRI

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Area of Science:

  • Neuroimaging
  • Psychiatry
  • Computational Neuroscience

Background:

  • Internet Gaming Disorder (IGD) is diagnosed using DSM-5 criteria.
  • The study investigates if these criteria can be translated into computational classifications.
  • Neuroanatomical differences between gamers and non-gamers are explored.

Purpose of the Study:

  • To determine if neuroanatomical features can classify Internet Gaming Disorder (IGD).
  • To explore the relationship between DSM-5 criteria for IGD and brain structure.
  • To assess the accuracy of machine learning models in discriminating between disordered gamers, normal gamers, and healthy non-gamers.

Main Methods:

  • Acquired structural MRI (sMRI) and diffusion-weighted MRI (dMRI) data.
  • Extracted 108 gray matter (GM) and white matter (WM) neuroanatomical features.
  • Applied regularized logistic regression and support vector machines (SVM) for classification.

Main Results:

  • Machine learning models accurately discriminated (over 98%) between disordered/normal gamers and healthy non-gamers using sparse neuroanatomical features.
  • Classification between disordered and normal gamers was more challenging.
  • Identified specific neuroanatomical features distinguishing between the groups.

Conclusions:

  • Sparse neuroanatomical features can represent pathological and non-pathological gamers.
  • Neuroimaging data supports the DSM-5 categorization of IGD.
  • Brain structure differences are key in differentiating gamers with and without IGD from healthy individuals.