• 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

主观认知衰退中个体形态学网络的富俱乐部组织紊乱

Rich-Club Organization Disturbances of the Individual Morphological Network in Subjective Cognitive Decline.

作者信息

Peng Liling, Feng Jing, Ma Di, Xu Xiaowen, Gao Xin

机构信息

Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China.

The Fifth People's Hospital of Jinan, Jinan, China.

出版信息

Front Aging Neurosci. 2022 Feb 25;14:834145. doi: 10.3389/fnagi.2022.834145. eCollection 2022.

DOI:10.3389/fnagi.2022.834145
PMID:35283748
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8914315/
Abstract

BACKGROUND

Subjective cognitive decline (SCD) was considered to be the preclinical stage of Alzheimer's disease (AD). However, less is known about the altered rich-club organizations of the morphological networks in individuals with SCD.

METHODS

This study included 53 individuals with SCD and 54 well-matched healthy controls (HC) from the Alzheimer's disease Neuroimaging Initiative (ADNI) database. Individual-level brain morphological networks were constructed by estimating the Jensen-Shannon distance-based similarity in the distribution of regional gray matter volume. Rich-club properties were then detected, followed by statistical comparison.

RESULTS

The characteristic rich-club organization of morphological networks (normalized rich-club coefficients > 1) was observed for both the SCD and HC groups under a range of thresholds. The SCD group showed a reduced normalized rich-club coefficient compared with the HC group. The SCD group exhibited the decreased strength and degree of rich-club connections than the HC group (strength: HC = 79.93, SCD = 74.37, = 0.028; degree: HC = 85.28, SCD = 79.34, = 0.027). Interestingly, the SCD group showed an increased strength of local connections than the HC group (strength: HC = 1982.16, SCD = 2003.38, = 0.036).

CONCLUSION

Rich-club organization disturbances of morphological networks in individuals with SCD reveal a distinct pattern between the rich-club and peripheral regions. This altered rich-club organization pattern provides novel insights into the underlying mechanism of SCD and could be used to investigate prevention strategies at the preclinical stage of AD.

摘要

背景

主观认知下降(SCD)被认为是阿尔茨海默病(AD)的临床前期。然而,对于SCD个体形态学网络中丰富俱乐部组织的改变了解较少。

方法

本研究纳入了来自阿尔茨海默病神经影像倡议(ADNI)数据库的53名SCD个体和54名匹配良好的健康对照(HC)。通过估计基于詹森 - 香农距离的区域灰质体积分布相似性来构建个体水平的脑形态学网络。然后检测丰富俱乐部属性,随后进行统计比较。

结果

在一系列阈值下,SCD组和HC组均观察到形态学网络的特征性丰富俱乐部组织(标准化丰富俱乐部系数>1)。与HC组相比,SCD组的标准化丰富俱乐部系数降低。SCD组的丰富俱乐部连接强度和度数均低于HC组(强度:HC = 79.93,SCD = 74.37,P = 0.028;度数:HC = 85.28,SCD = 79.34,P = 0.027)。有趣的是,与HC组相比,SCD组的局部连接强度增加(强度:HC = 1982.16,SCD = 2003.38,P = 0.036)。

结论

SCD个体形态学网络的丰富俱乐部组织紊乱揭示了丰富俱乐部区域和周边区域之间的独特模式。这种改变的丰富俱乐部组织模式为SCD的潜在机制提供了新的见解,并可用于研究AD临床前期的预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f12/8914315/bc1497f126fe/fnagi-14-834145-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f12/8914315/dc039d19ea6c/fnagi-14-834145-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f12/8914315/1fb85b06f096/fnagi-14-834145-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f12/8914315/bc1497f126fe/fnagi-14-834145-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f12/8914315/dc039d19ea6c/fnagi-14-834145-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f12/8914315/1fb85b06f096/fnagi-14-834145-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f12/8914315/bc1497f126fe/fnagi-14-834145-g003.jpg

相似文献

1
Rich-Club Organization Disturbances of the Individual Morphological Network in Subjective Cognitive Decline.主观认知衰退中个体形态学网络的富俱乐部组织紊乱
Front Aging Neurosci. 2022 Feb 25;14:834145. doi: 10.3389/fnagi.2022.834145. eCollection 2022.
2
Disrupted Patterns of Rich-Club and Diverse-Club Organizations in Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment.主观认知衰退和遗忘型轻度认知障碍中富俱乐部和多样俱乐部组织模式的破坏
Front Neurosci. 2020 Oct 15;14:575652. doi: 10.3389/fnins.2020.575652. eCollection 2020.
3
Rich club disturbances of the human connectome from subjective cognitive decline to Alzheimer's disease.从主观认知下降到阿尔茨海默病的人类连接组的丰富俱乐部干扰。
Theranostics. 2018 May 11;8(12):3237-3255. doi: 10.7150/thno.23772. eCollection 2018.
4
Structural neuroimaging changes associated with subjective cognitive decline from a clinical sample.与临床样本中的主观认知下降相关的结构神经影像学变化。
Neuroimage Clin. 2024;42:103615. doi: 10.1016/j.nicl.2024.103615. Epub 2024 May 10.
5
Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson's Disease.帕金森病中个体脑代谢网络富俱乐部组织的改变
Front Aging Neurosci. 2022 Jul 8;14:964874. doi: 10.3389/fnagi.2022.964874. eCollection 2022.
6
Distinct Patterns of Rich Club Organization in Alzheimer's Disease and Subcortical Vascular Dementia: A White Matter Network Study.阿尔茨海默病和皮质下血管性痴呆的丰富俱乐部组织的独特模式:一项白质网络研究。
J Alzheimers Dis. 2018;63(3):977-987. doi: 10.3233/JAD-180027.
7
Identification of Earlier Biomarkers for Alzheimer's Disease: A Multimodal Neuroimaging Study of Individuals with Subjective Cognitive Decline.阿尔茨海默病早期生物标志物的识别:主观认知下降个体的多模态神经影像学研究。
J Alzheimers Dis. 2020;77(3):1067-1076. doi: 10.3233/JAD-200299.
8
Topological properties of individual gray matter morphological networks in identifying the preclinical stages of Alzheimer's disease: a preliminary study.个体灰质形态学网络的拓扑特性在识别阿尔茨海默病临床前期阶段中的应用:一项初步研究
Quant Imaging Med Surg. 2023 Aug 1;13(8):5258-5270. doi: 10.21037/qims-22-1373. Epub 2023 Jul 10.
9
Altered pattern analysis and identification of subjective cognitive decline based on morphological brain network.基于脑形态网络的主观认知下降的改变模式分析与识别
Front Aging Neurosci. 2022 Aug 11;14:965923. doi: 10.3389/fnagi.2022.965923. eCollection 2022.
10
Disrupted morphological brain network organization in subjective cognitive decline and mild cognitive impairment.主观认知下降和轻度认知障碍中形态学脑网络组织的紊乱。
Brain Imaging Behav. 2024 Apr;18(2):387-395. doi: 10.1007/s11682-023-00839-6. Epub 2023 Dec 26.

引用本文的文献

1
Long-term risk of late-life depression in widowed elderly: a five-year follow-up study.丧偶老年人晚年患抑郁症的长期风险:一项五年随访研究。
BMC Geriatr. 2025 May 19;25(1):351. doi: 10.1186/s12877-025-06028-y.
2
Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort: An exploratory study.无损害队列中邻里劣势与认知功能及皮质结构紊乱的关联:一项探索性研究。
Alzheimers Dement. 2025 Mar;21(3):e70095. doi: 10.1002/alz.70095.
3
Research progress on brain network imaging biomarkers of subjective cognitive decline.

本文引用的文献

1
The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification.用于帕金森病识别的个体脑代谢连接组的重构模式。
MedComm (2020). 2023 Jun 27;4(4):e305. doi: 10.1002/mco2.305. eCollection 2023 Aug.
2
Multiple Connection Pattern Combination From Single-Mode Data for Mild Cognitive Impairment Identification.基于单模态数据的多种连接模式组合用于轻度认知障碍识别
Front Cell Dev Biol. 2021 Nov 22;9:782727. doi: 10.3389/fcell.2021.782727. eCollection 2021.
3
Morphological, Structural, and Functional Networks Highlight the Role of the Cortical-Subcortical Circuit in Individuals With Subjective Cognitive Decline.
主观认知下降的脑网络成像生物标志物研究进展
Front Neurosci. 2025 Feb 13;19:1503955. doi: 10.3389/fnins.2025.1503955. eCollection 2025.
4
Does the Cognitive Change Index Predict Future Cognitive and Clinical Decline? Longitudinal Analysis in a Demographically Diverse Cohort.认知变化指数是否可预测未来的认知和临床衰退?在人口多样化队列中的纵向分析。
J Alzheimers Dis. 2024;98(1):319-332. doi: 10.3233/JAD-230752.
5
Individual-level brain morphological similarity networks: Current methodologies and applications.个体水平脑形态相似性网络:当前方法学与应用。
CNS Neurosci Ther. 2023 Dec;29(12):3713-3724. doi: 10.1111/cns.14384. Epub 2023 Jul 30.
6
Asymptomatic carotid stenosis is associated with both edge and network reconfigurations identified by single-subject cortical thickness networks.无症状性颈动脉狭窄与单受试者皮质厚度网络所识别的边缘和网络重构均相关。
Front Aging Neurosci. 2023 Jan 12;14:1091829. doi: 10.3389/fnagi.2022.1091829. eCollection 2022.
7
Altered pattern analysis and identification of subjective cognitive decline based on morphological brain network.基于脑形态网络的主观认知下降的改变模式分析与识别
Front Aging Neurosci. 2022 Aug 11;14:965923. doi: 10.3389/fnagi.2022.965923. eCollection 2022.
8
Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson's Disease.帕金森病中个体脑代谢网络富俱乐部组织的改变
Front Aging Neurosci. 2022 Jul 8;14:964874. doi: 10.3389/fnagi.2022.964874. eCollection 2022.
形态学、结构和功能网络凸显了皮质-皮质下回路在主观认知衰退个体中的作用。
Front Aging Neurosci. 2021 Jul 9;13:688113. doi: 10.3389/fnagi.2021.688113. eCollection 2021.
4
Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer's disease: a preliminary study.基于多模态连接组学的机器学习可预测阿尔茨海默病的临床前期:初步研究。
Eur Radiol. 2022 Jan;32(1):448-459. doi: 10.1007/s00330-021-08080-9. Epub 2021 Jun 10.
5
Disrupted Patterns of Rich-Club and Diverse-Club Organizations in Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment.主观认知衰退和遗忘型轻度认知障碍中富俱乐部和多样俱乐部组织模式的破坏
Front Neurosci. 2020 Oct 15;14:575652. doi: 10.3389/fnins.2020.575652. eCollection 2020.
6
Functional connectivity network estimation with an inter-similarity prior for mild cognitive impairment classification.基于相似度先验的功能连接网络估计用于轻度认知障碍分类
Aging (Albany NY). 2020 Sep 13;12(17):17328-17342. doi: 10.18632/aging.103719.
7
The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline.主观认知下降个体与病理生物标志物相关的功能连接组的代偿现象。
Transl Neurodegener. 2020 May 27;9(1):21. doi: 10.1186/s40035-020-00201-6.
8
Group Similarity Constraint Functional Brain Network Estimation for Mild Cognitive Impairment Classification.用于轻度认知障碍分类的群体相似性约束功能性脑网络估计
Front Neurosci. 2020 Mar 10;14:165. doi: 10.3389/fnins.2020.00165. eCollection 2020.
9
Feature Selection and Combination of Information in the Functional Brain Connectome for Discrimination of Mild Cognitive Impairment and Analyses of Altered Brain Patterns.用于区分轻度认知障碍的功能性脑连接组中的特征选择与信息组合及脑模式改变分析
Front Aging Neurosci. 2020 Feb 19;12:28. doi: 10.3389/fnagi.2020.00028. eCollection 2020.
10
Abnormal Anatomical Rich-Club Organization and Structural-Functional Coupling in Mild Cognitive Impairment and Alzheimer's Disease.轻度认知障碍和阿尔茨海默病中异常的解剖学富俱乐部组织及结构-功能耦合
Front Neurol. 2020 Feb 5;11:53. doi: 10.3389/fneur.2020.00053. eCollection 2020.