{"title":"个体特异性神经子空间揭示网络游戏障碍的奖励失调和状态转移脆弱性。","authors":"Min Wang, Ningning Zeng, Hui Zheng, Shaoyu Cui, Xuefeng Xu, Xin Luo, Guang-Heng Dong","doi":"10.1016/j.bpsc.2025.08.011","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Internet gaming disorder (IGD) is a clinically heterogeneous condition, yet the underlying neurobiological subtypes remain to be elucidated. Investigating the sub-patterns of spontaneous neural activity and the state switching from individual to group patterns may provide deeper insights into the etiology of IGD.</p><p><strong>Methods: </strong>Resting-state functional MRI data were collected from 519 participants (257 with IGD; 262 recreational game users, RGU). The fractional amplitude of low-frequency fluctuation was computed to assess spontaneous neural activity. Non-negative matrix factorization (NMF) was employed to extract features predictive of subjects' addictive severity. Network control theory (NCT) was utilized to quantify the energy required for brain state transitions.</p><p><strong>Results: </strong>Compared to RGU, IGD subjects exhibited heightened activity in brain patterns (involving the basal ganglia, and thalamic regions) associated with reward processing. The individual weight of this pattern was positively associated with addiction severity and the spatial intensity was negatively correlated with the density of 5-HT<sub>1A</sub> receptors. Furthermore, NCT analysis demonstrated that transitioning to a high-craving state required less control energy than transitioning to other states.</p><p><strong>Conclusions: </strong>Although neural activity varies among IGD individuals, the homogeneity can be embedded in reward processing related brain areas. The reduction in 5-HT<sub>1A</sub> receptor density could be a potential substrate for this pattern. IGD subjects' transition more readily to high-craving states than to other states. These results elucidate neural mechanisms underlying IGD and highlight the importance of individualized approaches in treating the disorder.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Individual-Specific Neural Subspaces Reveal Reward Dysregulation and State Transition Vulnerabilities in Internet Gaming Disorder.\",\"authors\":\"Min Wang, Ningning Zeng, Hui Zheng, Shaoyu Cui, Xuefeng Xu, Xin Luo, Guang-Heng Dong\",\"doi\":\"10.1016/j.bpsc.2025.08.011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Internet gaming disorder (IGD) is a clinically heterogeneous condition, yet the underlying neurobiological subtypes remain to be elucidated. Investigating the sub-patterns of spontaneous neural activity and the state switching from individual to group patterns may provide deeper insights into the etiology of IGD.</p><p><strong>Methods: </strong>Resting-state functional MRI data were collected from 519 participants (257 with IGD; 262 recreational game users, RGU). The fractional amplitude of low-frequency fluctuation was computed to assess spontaneous neural activity. Non-negative matrix factorization (NMF) was employed to extract features predictive of subjects' addictive severity. Network control theory (NCT) was utilized to quantify the energy required for brain state transitions.</p><p><strong>Results: </strong>Compared to RGU, IGD subjects exhibited heightened activity in brain patterns (involving the basal ganglia, and thalamic regions) associated with reward processing. The individual weight of this pattern was positively associated with addiction severity and the spatial intensity was negatively correlated with the density of 5-HT<sub>1A</sub> receptors. Furthermore, NCT analysis demonstrated that transitioning to a high-craving state required less control energy than transitioning to other states.</p><p><strong>Conclusions: </strong>Although neural activity varies among IGD individuals, the homogeneity can be embedded in reward processing related brain areas. The reduction in 5-HT<sub>1A</sub> receptor density could be a potential substrate for this pattern. IGD subjects' transition more readily to high-craving states than to other states. These results elucidate neural mechanisms underlying IGD and highlight the importance of individualized approaches in treating the disorder.</p>\",\"PeriodicalId\":93900,\"journal\":{\"name\":\"Biological psychiatry. Cognitive neuroscience and neuroimaging\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biological psychiatry. Cognitive neuroscience and neuroimaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.bpsc.2025.08.011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological psychiatry. Cognitive neuroscience and neuroimaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.bpsc.2025.08.011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Individual-Specific Neural Subspaces Reveal Reward Dysregulation and State Transition Vulnerabilities in Internet Gaming Disorder.
Background: Internet gaming disorder (IGD) is a clinically heterogeneous condition, yet the underlying neurobiological subtypes remain to be elucidated. Investigating the sub-patterns of spontaneous neural activity and the state switching from individual to group patterns may provide deeper insights into the etiology of IGD.
Methods: Resting-state functional MRI data were collected from 519 participants (257 with IGD; 262 recreational game users, RGU). The fractional amplitude of low-frequency fluctuation was computed to assess spontaneous neural activity. Non-negative matrix factorization (NMF) was employed to extract features predictive of subjects' addictive severity. Network control theory (NCT) was utilized to quantify the energy required for brain state transitions.
Results: Compared to RGU, IGD subjects exhibited heightened activity in brain patterns (involving the basal ganglia, and thalamic regions) associated with reward processing. The individual weight of this pattern was positively associated with addiction severity and the spatial intensity was negatively correlated with the density of 5-HT1A receptors. Furthermore, NCT analysis demonstrated that transitioning to a high-craving state required less control energy than transitioning to other states.
Conclusions: Although neural activity varies among IGD individuals, the homogeneity can be embedded in reward processing related brain areas. The reduction in 5-HT1A receptor density could be a potential substrate for this pattern. IGD subjects' transition more readily to high-craving states than to other states. These results elucidate neural mechanisms underlying IGD and highlight the importance of individualized approaches in treating the disorder.