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

ABSTRACT: Internet gaming disorder (IGD) is often diagnosed on the basis of nine underlying criteria from the latest version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Here, we examined whether such symptom-based categorization could be translated into computation-based classification. Structural MRI (sMRI) and diffusion-weighted MRI (dMRI) data were acquired in 38 gamers diagnosed with IGD, 68 normal gamers diagnosed as not having IGD, and 37 healthy non-gamers. We generated 108 features of gray matter (GM) and white matter (WM) structure from the MRI data. When regularized logistic regression was applied to the 108 neuroanatomical features to select important ones for the distinction between the groups, the disordered and normal gamers were represented in terms of 43 and 21 features, respectively, in relation to the healthy non-gamers, whereas the disordered gamers were represented in terms of 11 features in relation to the normal gamers. In support vector machines (SVM) using the sparse neuroanatomical features as predictors, the disordered and normal gamers were discriminated successfully, with accuracy exceeding 98%, from the healthy non-gamers, but the classification between the disordered and normal gamers was relatively challenging. These findings suggest that pathological and non-pathological gamers as categorized with the criteria from the DSM-5 could be represented by sparse neuroanatomical features, especially in the context of discriminating those from non-gaming healthy individuals.

SUBMITTER: Park CH

PROVIDER: S-EPMC6033968 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundNAA10-related (Ogden Syndrome) and NAA15-related neurodevelopmental syndromes present with varying degrees of intellectual disability, hypotonia, congenital cardiac abnormalities, seizures, and delayed speech and motor development. While there is much data on the clinical manifestations of these conditions, there are few radiologic reports describing the neuroanatomical abnormalities present on imaging.ObjectiveOur goal was to provide neuroimaging analyses for a subset of probands with NAA10- and NAA15-related neurodevelopmental symptoms and assess severity, common radiologic anomalies, and changes over time to better understand the pathophysiology of these disease processes.Materials and methodsNeuroimaging studies from 26 probands (18 with pathogenic variants in NAA10, 8 with pathogenic variants in NAA15) were collected and analyzed. Size of the cerebrum, brainstem, and cerebellum, as well as myelination, brain malformations, globus pallidus hyperintensity, brain lesions, 4th ventricle size, tegmentovermian angle, cisterna magna size, pituitary size, olfactory tract, palate arch, and choroid plexus abnormalities were analyzed. In depth medical histories were also collected on all probands, including genetic testing results and social, cognitive, and developmental history. The Vineland 3 Adaptive Behavior Scale was also administered to the parents to assess functional status of the probands.ResultsOn average, individuals with Ogden Syndrome had 5.7 anatomical abnormalities (standard deviation (SD) = 3.0), whereas those with NAA15 related neurodevelopmental syndrome had 2.8 (SD = 2.3) (p = .02). Probands who had more anatomical abnormalities tended to score worse on Vineland assessments, suggesting a possible correlation between the two. Structural-functional anatomic differences seen were preserved such that individuals with greater defects on, for example, motor regions of their scans tested worse on motor portions of the Vineland. Probands followed longitudinally demonstrated several changes between scans, most commonly in the cerebellum, brainstem, and degree of myelination. Such changes were only observed for probands with NAA10 variants in our cohort.ConclusionDespite clinical imaging being reported as being predominantly "normal" during routine clinical care, this analysis of a cohort of patients with NAA10-related (Ogden Syndrome) and NAA15-related neurodevelopmental syndrome by one neuroradiologist has established a range of subtle abnormalities. We hope these findings guide future research and diagnostic studies for this patient population.

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

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