Background Internet gaming disorder(IGD)is a mental health issue that affects individuals worldwide.However,the lack of knowledge about the biomarkers associated with the development of IGD has restricted the diagnosi...Background Internet gaming disorder(IGD)is a mental health issue that affects individuals worldwide.However,the lack of knowledge about the biomarkers associated with the development of IGD has restricted the diagnosis and treatment of this disorder.Aims We aimed to reveal the biomarkers associated with the development of IGD through resting-state brain network analysis and provide clues for the diagnosis and treatment of IGD.Methods Twenty-six patients with IGD,23 excessive internet game users(EIUs)who recurrently played internet games but were not diagnosed with IGD and 29 healthy controls(HCs)performed delay discounting task(DDT)and Iowa gambling task(IGT).Resting-state functional magnetic resonance imaging(fMRI)data were also collected.Results Patients with IGD exhibited significantly lower hubness in the right medial orbital part of the superior frontal gyrus(ORBsupmed)than both the EIU and the HC groups.Additionally,the hubness of the right ORBsupmed was found to be positively correlated with the highest excessive internet gaming degree during the past year in the EIU group but not the IGD group;this might be the protective mechanism that prevents EIUs from becoming addicted to internet games.Moreover,the hubness of the right ORBsupmed was found to be related to the treatment outcome of patients with IGD,with higher hubness of this region indicating better recovery when undergoing forced abstinence.Further modelling analysis of the DDT and IGT showed that patients with IGD displayed higher impulsivity during the decision-making process,and impulsivity-related parameters were negatively correlated with the hubness of right ORBsupmed.Conclusions Our findings revealed that the impulsivity-related right ORBsupmed hubness could serve as a potential biomarker of IGD and provide clues for the diagnosis and treatment of IGD.展开更多
Objective:Understanding how brain changes over lifetime provides the basis for new insights into neurophysiology and neuropathology.In this study,we carried out a pseudo-longitudinal study based on age-related Chinese...Objective:Understanding how brain changes over lifetime provides the basis for new insights into neurophysiology and neuropathology.In this study,we carried out a pseudo-longitudinal study based on age-related Chinese brain atlases(i.e.,Chinese2020)constructed from large-scale volumetric brain MRI data collected in normal Han Chinese adults at varying ages.Methods:In order to quantify the deformation and displacement of brains for each voxel as age increases,optical flow algorithm was employed to compute motion vectors between every two consecutive brain templates of the age-related brain atlas,i.e.,Chinese2020.Results:Dynamic age-related neuroanatomical changes in a standardized brain space were shown.Overall,our results demonstrate that brain inward deformation(mainly due to atrophy)can appear in adulthood and this trend generally accelerates as age increases,affecting multiple regions including frontal cortex,temporal cortex,parietal cortex,and cerebellum,whereas occipital cortex is least affected by aging,and even showed some degree of outward deformation in the midlife.Conclusion:Our findings indicated more complicated age-related changes instead of a simple trend of brain volume decrease,which may be in line with the recently increasing interests in the age-related cortical complexity with other morphometry measures.展开更多
基金This work was supported by grants from The Chinese National Programs for Brain Science and Brain-like Intelligence Technology(2021ZD0202101)The National Natural Science Foundation of China(32171080,32161143022,71942003,31900766 and 71874170)+3 种基金the Major Project of Philosophy and Social Science Research,Ministry of Education of China(19JZD010)the CAS-VPST Silk Road Science Fund 2021(GLHZ202128)the Collaborative Innovation Program of Hefei Science Center,CAS(2020HSC-CIP001)the Anhui Provincial Key Research and Development Project(202004b11020013).
文摘Background Internet gaming disorder(IGD)is a mental health issue that affects individuals worldwide.However,the lack of knowledge about the biomarkers associated with the development of IGD has restricted the diagnosis and treatment of this disorder.Aims We aimed to reveal the biomarkers associated with the development of IGD through resting-state brain network analysis and provide clues for the diagnosis and treatment of IGD.Methods Twenty-six patients with IGD,23 excessive internet game users(EIUs)who recurrently played internet games but were not diagnosed with IGD and 29 healthy controls(HCs)performed delay discounting task(DDT)and Iowa gambling task(IGT).Resting-state functional magnetic resonance imaging(fMRI)data were also collected.Results Patients with IGD exhibited significantly lower hubness in the right medial orbital part of the superior frontal gyrus(ORBsupmed)than both the EIU and the HC groups.Additionally,the hubness of the right ORBsupmed was found to be positively correlated with the highest excessive internet gaming degree during the past year in the EIU group but not the IGD group;this might be the protective mechanism that prevents EIUs from becoming addicted to internet games.Moreover,the hubness of the right ORBsupmed was found to be related to the treatment outcome of patients with IGD,with higher hubness of this region indicating better recovery when undergoing forced abstinence.Further modelling analysis of the DDT and IGT showed that patients with IGD displayed higher impulsivity during the decision-making process,and impulsivity-related parameters were negatively correlated with the hubness of right ORBsupmed.Conclusions Our findings revealed that the impulsivity-related right ORBsupmed hubness could serve as a potential biomarker of IGD and provide clues for the diagnosis and treatment of IGD.
基金supported by grants from the Innovation and Technology Commission(Project Nos.GHP-025-17SZ and GHP/028/14SZ)of the Hong Kong Special Administrative RegionShenzhen Science and Technology Innovation Committee(Project NoCYZZ20160421160735632)+2 种基金Beijing Nova Program(No.2016000021223TD07)Capacity Building for Sci-Tech Innovation￡-Fundamental Scientific Research Funds(No.19530050157,No.19530050184)the Beijing Brain Initiative of Beijing Municipal Science&Technology Commission.
文摘Objective:Understanding how brain changes over lifetime provides the basis for new insights into neurophysiology and neuropathology.In this study,we carried out a pseudo-longitudinal study based on age-related Chinese brain atlases(i.e.,Chinese2020)constructed from large-scale volumetric brain MRI data collected in normal Han Chinese adults at varying ages.Methods:In order to quantify the deformation and displacement of brains for each voxel as age increases,optical flow algorithm was employed to compute motion vectors between every two consecutive brain templates of the age-related brain atlas,i.e.,Chinese2020.Results:Dynamic age-related neuroanatomical changes in a standardized brain space were shown.Overall,our results demonstrate that brain inward deformation(mainly due to atrophy)can appear in adulthood and this trend generally accelerates as age increases,affecting multiple regions including frontal cortex,temporal cortex,parietal cortex,and cerebellum,whereas occipital cortex is least affected by aging,and even showed some degree of outward deformation in the midlife.Conclusion:Our findings indicated more complicated age-related changes instead of a simple trend of brain volume decrease,which may be in line with the recently increasing interests in the age-related cortical complexity with other morphometry measures.
