• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于图论分析揭示的缺血性烟雾病脑结构协方差网络重组

Reorganization of the Brain Structural Covariance Network in Ischemic Moyamoya Disease Revealed by Graph Theoretical Analysis.

作者信息

Wang Peijing, Li Wenjie, Zhu Huan, Liu Xingju, Yu Tao, Zhang Dong, Zhang Yan

机构信息

Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

China National Clinical Research Center for Neurological Diseases, Beijing, China.

出版信息

Front Aging Neurosci. 2022 Jun 2;14:788661. doi: 10.3389/fnagi.2022.788661. eCollection 2022.

DOI:10.3389/fnagi.2022.788661
PMID:35721027
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9201423/
Abstract

OBJECTIVE

Ischemic moyamoya (MMD) disease could alter the cerebral structure, but little is known about the topological organization of the structural covariance network (SCN). This study employed structural magnetic resonance imaging and graph theory to evaluate SCN reorganization in ischemic MMD patients.

METHOD

Forty-nine stroke-free ischemic MMD patients and 49 well-matched healthy controls (HCs) were examined by T1-MPRAGE imaging. Structural images were pre-processed using the Computational Anatomy Toolbox 12 (CAT 12) based on the diffeomorphic anatomical registration through exponentiated lie (DARTEL) algorithm and both the global and regional SCN parameters were calculated and compared using the Graph Analysis Toolbox (GAT).

RESULTS

Most of the important metrics of global network organization, including characteristic path length (Lp), clustering coefficient (Cp), assortativity, local efficiency, and transitivity, were significantly reduced in MMD patients compared with HCs. In addition, the regional betweenness centrality (BC) values of the bilateral medial orbitofrontal cortices were significantly lower in MMD patients than in HCs after false discovery rate (FDR) correction for multiple comparisons. The BC was also reduced in the left medial superior frontal gyrus and hippocampus, and increased in the bilateral middle cingulate gyri of patients, but these differences were not significant after FDR correlation. No differences in network resilience were detected by targeted attack analysis or random failure analysis.

CONCLUSIONS

Both global and regional properties of the SCN are altered in MMD, even in the absence of major stroke or hemorrhagic damage. Patients exhibit a less optimal and more randomized SCN than HCs, and the nodal BC of the bilateral medial orbitofrontal cortices is severely reduced. These changes may account for the cognitive impairments in MMD patients.

摘要

目的

缺血性烟雾病(MMD)可改变脑结构,但对结构协方差网络(SCN)的拓扑组织了解甚少。本研究采用结构磁共振成像和图论来评估缺血性MMD患者的SCN重组情况。

方法

对49例无卒中的缺血性MMD患者和49例匹配良好的健康对照(HCs)进行T1-MPRAGE成像检查。基于通过指数李代数(DARTEL)算法进行的微分同胚解剖配准,使用计算解剖工具箱12(CAT 12)对结构图像进行预处理,并使用图分析工具箱(GAT)计算和比较全局和区域SCN参数。

结果

与HCs相比,MMD患者中全局网络组织的大多数重要指标,包括特征路径长度(Lp)、聚类系数(Cp)、 assortativity、局部效率和传递性,均显著降低。此外,经多重比较的错误发现率(FDR)校正后,MMD患者双侧内侧眶额皮质的区域中间中心性(BC)值显著低于HCs。患者左侧内侧额上回和海马体的BC也降低,双侧扣带回中部增加,但经FDR相关性分析后这些差异不显著。通过靶向攻击分析或随机故障分析未检测到网络弹性的差异。

结论

即使在没有重大卒中或出血性损伤的情况下,MMD患者的SCN全局和区域特性也会发生改变。与HCs相比,患者表现出不太优化且更随机的SCN,并且双侧内侧眶额皮质的节点BC严重降低。这些变化可能解释了MMD患者的认知障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/75e791c797ae/fnagi-14-788661-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/254668213f08/fnagi-14-788661-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/5c809bb0037c/fnagi-14-788661-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/a69257c0ec05/fnagi-14-788661-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/75e791c797ae/fnagi-14-788661-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/254668213f08/fnagi-14-788661-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/5c809bb0037c/fnagi-14-788661-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/a69257c0ec05/fnagi-14-788661-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eea9/9201423/75e791c797ae/fnagi-14-788661-g004.jpg

相似文献

1
Reorganization of the Brain Structural Covariance Network in Ischemic Moyamoya Disease Revealed by Graph Theoretical Analysis.基于图论分析揭示的缺血性烟雾病脑结构协方差网络重组
Front Aging Neurosci. 2022 Jun 2;14:788661. doi: 10.3389/fnagi.2022.788661. eCollection 2022.
2
Altered Topological Properties of Brain Structural Covariance Networks in Patients With Cervical Spondylotic Myelopathy.脊髓型颈椎病患者脑结构协方差网络的拓扑特性改变
Front Hum Neurosci. 2020 Sep 4;14:364. doi: 10.3389/fnhum.2020.00364. eCollection 2020.
3
Altered gray matter structural covariance networks in postpartum depression: a graph theoretical analysis.产后抑郁症患者脑灰质结构协变网络的改变:一项基于图论的分析。
J Affect Disord. 2021 Oct 1;293:159-167. doi: 10.1016/j.jad.2021.05.018. Epub 2021 Jun 12.
4
A longitudinal study of the brain structure network changes in HIV patients with ANI: combined VBM with SCN.对患有艾滋病相关神经认知障碍(ANI)的HIV患者脑结构网络变化的纵向研究:结合体素形态学测量(VBM)与结构连接网络(SCN)
Front Neurol. 2024 Apr 17;15:1388616. doi: 10.3389/fneur.2024.1388616. eCollection 2024.
5
Brain Structural Changes in Carpal Tunnel Syndrome Patients: From the Perspectives of Structural Connectivity and Structural Covariance Network.腕管综合征患者的大脑结构变化:从结构连接和结构协方差网络的角度。
Neurosurgery. 2021 Nov 18;89(6):978-986. doi: 10.1093/neuros/nyab335.
6
Altered cortical thickness and structural covariance networks in upper limb amputees: A graph theoretical analysis.上肢截肢患者大脑皮质厚度和结构协变网络的改变:一项图论分析。
CNS Neurosci Ther. 2023 Oct;29(10):2901-2911. doi: 10.1111/cns.14226. Epub 2023 Apr 30.
7
Investigating Brain Network Characteristics Interrupted by Covert White Matter Injury in Patients with Moyamoya Disease: Insights from Graph Theoretical Analysis.烟雾病患者隐匿性白质损伤所中断的脑网络特征研究:来自图论分析的见解
World Neurosurg. 2016 May;89:654-665.e2. doi: 10.1016/j.wneu.2015.11.100. Epub 2015 Dec 25.
8
Alteration in topological organization characteristics of gray matter covariance networks in patients with prediabetes.糖尿病前期患者脑灰质协变网络拓扑组织特征的改变。
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2022 Oct 28;47(10):1375-1384. doi: 10.11817/j.issn.1672-7347.2022.220085.
9
Alteration of the anatomical covariance network after corpus callosotomy in pediatric intractable epilepsy.胼胝体切开术治疗儿童耐药性癫痫后解剖协变网络的改变。
PLoS One. 2019 Dec 5;14(12):e0222876. doi: 10.1371/journal.pone.0222876. eCollection 2019.
10
White matter structural and network topological changes in moyamoya disease with limb paresthesia: A study based on diffusion kurtosis imaging.伴肢体感觉异常的烟雾病白质结构和网络拓扑变化:一项基于扩散峰度成像的研究
Front Neurosci. 2022 Oct 31;16:1029388. doi: 10.3389/fnins.2022.1029388. eCollection 2022.

引用本文的文献

1
Impact of Anesthesia on Brain Functional Networks in Moyamoya Disease and Spinal Lesions.麻醉对烟雾病和脊髓病变患者脑功能网络的影响。
CNS Neurosci Ther. 2025 Apr;31(4):e70358. doi: 10.1111/cns.70358.
2
Multimodal MRI analysis of COVID-19 effects on pediatric brain.新冠病毒对儿童大脑影响的多模态磁共振成像分析
Sci Rep. 2025 Apr 5;15(1):11691. doi: 10.1038/s41598-025-96191-4.
3
Reorganization of gray matter networks in patients with Moyamoya disease.烟雾病患者灰质网络的重组

本文引用的文献

1
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood.从婴儿早期到儿童期,大脑结构网络组织的成熟和认知相关性。
Neuroimage. 2021 Sep;238:118232. doi: 10.1016/j.neuroimage.2021.118232. Epub 2021 Jun 4.
2
Altered Cortical Thickness-Based Individualized Structural Covariance Networks in Patients with Schizophrenia and Bipolar Disorder.精神分裂症和双相情感障碍患者基于皮质厚度改变的个体化结构协方差网络
J Clin Med. 2020 Jun 13;9(6):1846. doi: 10.3390/jcm9061846.
3
Different aspects of cognitive function in adult patients with moyamoya disease and its clinical subtypes.
Sci Rep. 2025 Jan 22;15(1):2788. doi: 10.1038/s41598-025-86553-3.
4
Electroacupuncture modulates abnormal brain connectivity after ischemia reperfusion injury in rats: A graph theory-based approach.电针调节大鼠缺血再灌注损伤后的异常脑连接:基于图论的方法。
Brain Behav. 2024 May;14(5):e3504. doi: 10.1002/brb3.3504.
5
The volume and structural covariance network of thalamic nuclei in patients with Wilson's disease: an investigation of the association with neurological impairment.Wilson 病患者丘脑核的体积和结构协变网络:与神经功能障碍相关性的研究。
Neurol Sci. 2024 May;45(5):2063-2073. doi: 10.1007/s10072-023-07245-2. Epub 2023 Dec 5.
成人烟雾病患者及其临床亚型认知功能的不同方面。
Stroke Vasc Neurol. 2020 Mar 25;5(1):86-96. doi: 10.1136/svn-2019-000309. eCollection 2020.
4
Reduced Global Efficiency and Random Network Features in Patients with Relapsing-Remitting Multiple Sclerosis with Cognitive Impairment.认知障碍复发缓解型多发性硬化症患者的全局效率降低和随机网络特征。
AJNR Am J Neuroradiol. 2020 Mar;41(3):449-455. doi: 10.3174/ajnr.A6435. Epub 2020 Feb 20.
5
Cognitive Performance Profile in Pediatric Moyamoya Disease Patients and Its Relationship With Regional Cerebral Blood Perfusion.小儿烟雾病患者的认知功能概况及其与局部脑血流灌注的关系。
Front Neurol. 2019 Dec 12;10:1308. doi: 10.3389/fneur.2019.01308. eCollection 2019.
6
Longitudinal cortical network reorganization in early relapsing-remitting multiple sclerosis.早期复发缓解型多发性硬化症中皮质纵向网络重组
Ther Adv Neurol Disord. 2019 Apr 24;12:1756286419838673. doi: 10.1177/1756286419838673. eCollection 2019.
7
Microstructural damage pattern of vascular cognitive impairment: a comparison between moyamoya disease and cerebrovascular atherosclerotic disease.血管性认知障碍的微观结构损伤模式:烟雾病与脑血管动脉粥样硬化疾病的比较
Neural Regen Res. 2019 May;14(5):858-867. doi: 10.4103/1673-5374.249234.
8
Reconfigured functional network dynamics in adult moyamoya disease: a resting-state fMRI study.成人烟雾病功能网络重配置的动态变化:一项静息态 fMRI 研究。
Brain Imaging Behav. 2020 Jun;14(3):715-727. doi: 10.1007/s11682-018-0009-8.
9
Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships.跨生命周期的结构协变:通过网络间关系的视角看大脑发育和衰老。
Hum Brain Mapp. 2019 Jan;40(1):125-136. doi: 10.1002/hbm.24359. Epub 2018 Oct 3.
10
Drawing Inspiration from Human Brain Networks: Construction of Interconnected Virtual Networks.从人类大脑网络中汲取灵感:构建互联的虚拟网络。
Sensors (Basel). 2018 Apr 8;18(4):1133. doi: 10.3390/s18041133.