The topological organization of white matter network in internet gaming disorder individuals.

White matter (WM) integrity abnormalities had been reported in Internet gaming disorder (IGD). Diffusion tensor imaging (DTI) tractography allows identification of WM tracts, potentially providing information about the integrity and organization of relevant underlying WM fiber tracts' architectures,...

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Publicado en:Brain Imaging & Behavior Vol. 11; no. 6; pp. 1769 - 1779
Autores principales: Zhai, Jinquan, Luo, Lin, Qiu, Lijun, Kang, Yongqiang, Liu, Bo, Yu, Dahua, Lu, Xiaoqi, Yuan, Kai
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature Dec2017
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The topological organization of white matter network in internet gaming disorder individuals.
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        au:
          Zhai, Jinquan
          Luo, Lin
          Qiu, Lijun
          Kang, Yongqiang
          Liu, Bo
          Yu, Dahua
          Lu, Xiaoqi
          Yuan, Kai
        affil: Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College , Inner Mongolia University of Science and Technology , Baotou 014010 People's Republic of China
      sug:
        subj:
          Brain
          Video Games
          Internet
          Behavior, Addictive
          Neural Pathways
          Behavior, Addictive Pathology
          Young Adult
          Male
          Adolescence
          Magnetic Resonance Imaging
          Cross Sectional Studies
          Female
          Brain Pathology
          Neural Pathways Pathology
          Human
          Questionnaires
          Adolescent: 13-18 years
          Male
          Female
      ab: White matter (WM) integrity abnormalities had been reported in Internet gaming disorder (IGD). Diffusion tensor imaging (DTI) tractography allows identification of WM tracts, potentially providing information about the integrity and organization of relevant underlying WM fiber tracts' architectures, which has been used to investigate the connectivity of cortical and subcortical structures in several brain disorders. Unfortunately, relatively little is known about the thoroughly circuit-level characterization of topological property changes of WM network with IGD. Sixteen right-hand adolescents with IGD participated in our study, according to the diagnostic criteria of IGD in DSM-5. Meanwhile, 16 age and gender-matched healthy controls were also enrolled. DTI tractography was employed to generate brain WM networks in IGD individuals and healthy controls. The 90 cortical and subcortical regions derived from AAL template were chosen as the nodes. The network parameters (i.e., Network strength, clustering coefficient, shortest path length, global efficiency, local efficiency, regional efficiency) were calculated and then correlated with the Internet addiction test (IAT) scores in IGD. IGD group showed decreased global efficiency, local efficiency and increased shortest path length. Further analysis revealed the reduced nodal efficiency in frontal cortex, anterior cingulate cortex and pallidium in IGD. In addition, the global efficiency of WM network was correlated with the IAT scores in IGD (r = -0.5927; p = 0.0155). We reported the abnormal topological organization of WM network in IGD and the association with the severity of IGD, which may provide new insights into the neural mechanism of IGD from WM network level.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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