Abstract
Objective: Internet gaming disorder (IGD) has been investigated by many behavioral and neuroimaging studies, for it has became one of the main behavior disorders among adolescents. However, few studies focused on the relationship between alteration of gray matter volume (GMV) and cognitive control feature in IGD adolescents.Methods: Twenty-eight participants with IAD and twenty-eight healthy age and gender matched controls participated in the study. Brain morphology of adolescents with IGD and healthy controls was investigated using an optimized voxel-based morphometry (VBM) technique. Cognitive control performances were measured by Stroop task, and correlation analysis was performed between brain structural change and behavioral performance in IGD group.Results: The results showed that GMV of the bilateral anterior cingulate cortex (ACC), precuneus, supplementary motor area (SMA), superior parietal cortex, left dorsal lateral prefrontal cortex (DLPFC), left insula, and bilateral cerebellum decreased in the IGD participants compared with healthy controls. Moreover, GMV of the ACC was negatively correlated with the incongruent response errors of Stroop task in IGD group.Conclusion: Our results suggest that the alteration of GMV is associated with the performance change of cognitive control in adolescents with IGD, which indicating substantial brain image effects induced by IGD.
Highlights
Hongmei Wang 1, Chenwang Jin 1, Kai Yuan 2,3*, Tahir Mehmood Shakir 1, Cuiping Mao 1, Xuan Niu 1, Chen Niu 1, Liping Guo 1 and Ming Zhang 1*
The results showed that gray matter volume (GMV) of the bilateral anterior cingulate cortex (ACC), precuneus, supplementary motor area (SMA), superior parietal cortex, left dorsal lateral prefrontal cortex (DLPFC), left insula, and bilateral cerebellum decreased in the Internet gaming disorder (IGD) participants compared with healthy controls
Our results suggest that the alteration of GMV is associated with the performance change of cognitive control in adolescents with IGD, which indicating substantial brain image effects induced by IGD
Summary
Twenty-eight participants with IAD and twenty-eight healthy age and gender matched controls participated in the study. We retested them with the YDQ criteria modified by Beard and Wolf (Brand et al, 2014) to verify that they qualified for IA diagnosis By communicating with their parents via telephone we confirmed the reliability of the self-reports from the IGD subjects. Urine test was performed for all subjects to exclude substance abuse before magnetic resonance imaging (MRI) scanning Exclusion criteria for both groups were (1) neurological disorders or physical illness, including brain tumor, hepatitis, or epilepsy assessed by clinical evaluations and medical records; (2) alcohol, nicotine or drug abuse; and (3) pregnancy or menstrual period in women; Written consent forms were obtained by all the patients and controls.
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