Altered local intrinsic neural activity and molecular architecture in internet use disorders

IF 3.5 3区 医学 Q2 NEUROSCIENCES Brain Research Bulletin Pub Date : 2024-08-20 DOI:10.1016/j.brainresbull.2024.111052
Longyao Ma , Qiuying Tao , Jinghan Dang , Jieping Sun , Xiaoyu Niu , Mengzhe Zhang , Yimeng Kang , Weijian Wang , Jingliang Cheng , Shaoqiang Han , Yong Zhang
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Abstract

Background

Internet gaming disorder (IGD) is mainly characterized by its core dysfunction in higher-order brain cortices involved in inhibitory control, whose neurobiological basis remains unclear. Then, we will investigate local intrinsic neural activity (INA) alterations in IGD, ascertain whether these potential alterations are related to clinical characteristics, and further explore the underlying molecular architecture.

Method

In this study, we performed the fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) derived from resting-state functional magnetic resonance imaging (rs-fMRI) to explore the impact of IGD on local INA. Correlation analysis revealed the relationship between ReHo and fALFF in terms of group differences and clinical characteristics. Moreover, correlations between fALFF, ReHo, and PET- and SPECT-driven maps were investigated to elucidate the specific molecular architecture alternations in IGD. Finally, receiver operating characteristic curve (ROC) analysis was used to show the potential abilities of fALFF and ReHo in distinguishing individuals with IGD (IGDs) from healthy controls (HCs).

Result

Compared with HCs, IGDs revealed increased ReHo and fALFF in the prefrontal cortex. Significantly decreased ReHo was observed in the temporal lobe, occipital lobe, and cerebellum. In addition, the ReHo values in the cerebellum_7b_R were positively correlated with internet addiction severity. ROC curve analysis showed that ReHo and fALFF-altered brain regions could effectively distinguish IGDs from HCs. More importantly, cross-modal correlations revealed local INA changes in brain regions associated with the monoamine neurotransmitter system and the less studied cholinergic/GABAergic system.

Conclusion

These results suggest that local functional impairments are shown in the audiovisual and inhibitory control circuits in IGDs. This may be associated with underlying neurotransmitter system alterations. Therefore, this study provides the possibility of GABAergic receptor agonists and cholinergic receptor inhibitors for the treatment of IGD.

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互联网使用障碍中局部固有神经活动和分子结构的改变。
背景:网络游戏障碍(IGD)的主要特征是参与抑制控制的高阶大脑皮层的核心功能障碍,其神经生物学基础尚不清楚。因此,我们将研究 IGD 的局部固有神经活动(INA)改变,确定这些潜在改变是否与临床特征相关,并进一步探索其潜在的分子结构:在这项研究中,我们通过静息态功能磁共振成像(rs-fMRI)得出的低频波动分数振幅(fALFF)和区域均匀性(ReHo)来探讨 IGD 对局部 INA 的影响。相关性分析表明了 ReHo 和 fALFF 在组间差异和临床特征方面的关系。此外,还研究了 fALFF、ReHo 与 PET 和 SPECT 驱动图之间的相关性,以阐明 IGD 中特定的分子结构变化。最后,利用接收器操作特征曲线(ROC)分析显示了fALFF和ReHo在区分IGD(IGDs)患者和健康对照(HCs)方面的潜在能力:结果:与健康对照组相比,IGD 患者前额叶皮层的 ReHo 和 fALFF 增加。颞叶、枕叶和小脑的 ReHo 值显著降低。此外,小脑_7b_R的ReHo值与网络成瘾严重程度呈正相关。ROC曲线分析表明,ReHo和fALFF改变的脑区能有效区分IGD和HC。更重要的是,跨模态相关性揭示了与单胺类神经递质系统和研究较少的胆碱能/GABA能系统相关的脑区的局部INA变化:这些结果表明,IGD 患者的视听和抑制控制回路存在局部功能障碍。这可能与潜在的神经递质系统改变有关。因此,本研究提供了 GABA 能受体激动剂和胆碱能受体抑制剂治疗 IGD 的可能性。
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来源期刊
Brain Research Bulletin
Brain Research Bulletin 医学-神经科学
CiteScore
6.90
自引率
2.60%
发文量
253
审稿时长
67 days
期刊介绍: The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.
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