自闭症谱系障碍中三重网络和皮质-皮质下网络的非典型脑网络拓扑结构。

IF 2.9 3区 医学 Q2 NEUROSCIENCES Neuroscience Pub Date : 2024-11-15 DOI:10.1016/j.neuroscience.2024.11.034
Jun-Sa Zhu , Qi Gong , Mei-Ting Zhao , Yun Jiao
{"title":"自闭症谱系障碍中三重网络和皮质-皮质下网络的非典型脑网络拓扑结构。","authors":"Jun-Sa Zhu ,&nbsp;Qi Gong ,&nbsp;Mei-Ting Zhao ,&nbsp;Yun Jiao","doi":"10.1016/j.neuroscience.2024.11.034","DOIUrl":null,"url":null,"abstract":"<div><div>The default mode network (DMN), salience network (SN), and central executive control network (CEN) form the well-known triple network, providing a framework for understanding various neurodevelopmental and psychiatric disorders. However, the topology of this network remains unclear in autism spectrum disorder (ASD). To gain a more profound understanding of ASD, we explored the topology of the triple network in ASD. Additionally, the striatum and thalamus are pivotal centres of information transmission within the brain, and the realization of various brain functions requires the coordination of cortical and subcortical structures. Therefore, we also investigated the topology of the cortico-subcortical network in ASD, which consists of the DMN, SN, CEN, striatum, and thalamus. Resting-state functional magnetic resonance imaging data on 208 ASD patients and 278 typically developing (TD) controls (8–18 years old) were obtained from the Autism Brain Imaging Data Exchange database. We performed graph theory analysis on the triple network and the cortico-subcortical network. The results showed that the triple network’s clustering coefficient, lambda, and network local efficiency values were significantly lower in ASD, and the nodal degree and efficiency of the medial prefrontal cortex also decreased. For the cortico-subcortical network, the sigma, clustering coefficient, gamma, and network local efficiency showed the same reduction, and the altered clustering coefficient negatively correlated with ASD manifestations. In addition, the interaction between the DMN and CEN was more robust in ASD patients. These findings enhance our understanding of ASD and suggest that subcortical structures should be more considered in future ASD related studies.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"564 ","pages":"Pages 21-30"},"PeriodicalIF":2.9000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Atypical brain network topology of the triple network and cortico-subcortical network in autism spectrum disorder\",\"authors\":\"Jun-Sa Zhu ,&nbsp;Qi Gong ,&nbsp;Mei-Ting Zhao ,&nbsp;Yun Jiao\",\"doi\":\"10.1016/j.neuroscience.2024.11.034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The default mode network (DMN), salience network (SN), and central executive control network (CEN) form the well-known triple network, providing a framework for understanding various neurodevelopmental and psychiatric disorders. However, the topology of this network remains unclear in autism spectrum disorder (ASD). To gain a more profound understanding of ASD, we explored the topology of the triple network in ASD. Additionally, the striatum and thalamus are pivotal centres of information transmission within the brain, and the realization of various brain functions requires the coordination of cortical and subcortical structures. Therefore, we also investigated the topology of the cortico-subcortical network in ASD, which consists of the DMN, SN, CEN, striatum, and thalamus. Resting-state functional magnetic resonance imaging data on 208 ASD patients and 278 typically developing (TD) controls (8–18 years old) were obtained from the Autism Brain Imaging Data Exchange database. We performed graph theory analysis on the triple network and the cortico-subcortical network. The results showed that the triple network’s clustering coefficient, lambda, and network local efficiency values were significantly lower in ASD, and the nodal degree and efficiency of the medial prefrontal cortex also decreased. For the cortico-subcortical network, the sigma, clustering coefficient, gamma, and network local efficiency showed the same reduction, and the altered clustering coefficient negatively correlated with ASD manifestations. In addition, the interaction between the DMN and CEN was more robust in ASD patients. These findings enhance our understanding of ASD and suggest that subcortical structures should be more considered in future ASD related studies.</div></div>\",\"PeriodicalId\":19142,\"journal\":{\"name\":\"Neuroscience\",\"volume\":\"564 \",\"pages\":\"Pages 21-30\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306452224006225\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306452224006225","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

默认模式网络(DMN)、显著性网络(SN)和中央执行控制网络(CEN)构成了众所周知的三重网络,为理解各种神经发育和精神疾病提供了框架。然而,自闭症谱系障碍(ASD)中这一网络的拓扑结构仍不清楚。为了更深入地了解自闭症谱系障碍,我们探索了自闭症谱系障碍中三重网络的拓扑结构。此外,纹状体和丘脑是脑内信息传递的关键中心,各种脑功能的实现需要皮层和皮层下结构的协调。因此,我们还研究了ASD患者皮质-皮质下网络的拓扑结构,该网络由DMN、SN、CEN、纹状体和丘脑组成。我们从自闭症脑成像数据交换数据库中获得了208名ASD患者和278名发育典型(TD)对照组(8-18岁)的静息态功能磁共振成像数据。我们对三重网络和皮质-皮质下网络进行了图论分析。结果显示,三重网络的聚类系数、λ和网络局部效率值在自闭症患者中明显降低,内侧前额叶皮层的节点度和效率也有所下降。皮质-皮质下网络的σ、聚类系数、γ和网络局部效率也出现了同样的降低,聚类系数的改变与ASD表现呈负相关。此外,在ASD患者中,DMN与CEN之间的相互作用更为强大。这些发现加深了我们对ASD的理解,并表明在未来的ASD相关研究中应更多地考虑皮层下结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Atypical brain network topology of the triple network and cortico-subcortical network in autism spectrum disorder
The default mode network (DMN), salience network (SN), and central executive control network (CEN) form the well-known triple network, providing a framework for understanding various neurodevelopmental and psychiatric disorders. However, the topology of this network remains unclear in autism spectrum disorder (ASD). To gain a more profound understanding of ASD, we explored the topology of the triple network in ASD. Additionally, the striatum and thalamus are pivotal centres of information transmission within the brain, and the realization of various brain functions requires the coordination of cortical and subcortical structures. Therefore, we also investigated the topology of the cortico-subcortical network in ASD, which consists of the DMN, SN, CEN, striatum, and thalamus. Resting-state functional magnetic resonance imaging data on 208 ASD patients and 278 typically developing (TD) controls (8–18 years old) were obtained from the Autism Brain Imaging Data Exchange database. We performed graph theory analysis on the triple network and the cortico-subcortical network. The results showed that the triple network’s clustering coefficient, lambda, and network local efficiency values were significantly lower in ASD, and the nodal degree and efficiency of the medial prefrontal cortex also decreased. For the cortico-subcortical network, the sigma, clustering coefficient, gamma, and network local efficiency showed the same reduction, and the altered clustering coefficient negatively correlated with ASD manifestations. In addition, the interaction between the DMN and CEN was more robust in ASD patients. These findings enhance our understanding of ASD and suggest that subcortical structures should be more considered in future ASD related studies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neuroscience
Neuroscience 医学-神经科学
CiteScore
6.20
自引率
0.00%
发文量
394
审稿时长
52 days
期刊介绍: Neuroscience publishes papers describing the results of original research on any aspect of the scientific study of the nervous system. Any paper, however short, will be considered for publication provided that it reports significant, new and carefully confirmed findings with full experimental details.
期刊最新文献
Editorial Board Beyond digestion: Exploring how the gut microbiota modulates human social behaviors Serpina3n in neonatal microglia mediates its protective role for damaged adult microglia by alleviating extracellular matrix remodeling-induced tunneling nanotubes degradation in a cell model of traumatic brain injury Dihydromyricetin ameliorates neurotoxicity induced by high glucose through restraining ferroptosis by inhibiting JNK-inflammation pathway in HT22 cells Sex differential effects of early maternal separation on PTSD susceptibility in adult rats accompanied by telomere shortening in the hippocampus
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1