• 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

阿尔茨海默病连续体中个体的全球代谢稳定性和静息态及动态大脑连接中断。

Disrupted global metastability and static and dynamic brain connectivity across individuals in the Alzheimer's disease continuum.

机构信息

NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital &Institute of Clinical Medicine, University of Oslo, Norway.

Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.

出版信息

Sci Rep. 2017 Jan 11;7:40268. doi: 10.1038/srep40268.

DOI:10.1038/srep40268
PMID:28074926
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5225495/
Abstract

As findings on the neuropathological and behavioral components of Alzheimer's disease (AD) continue to accrue, converging evidence suggests that macroscale brain functional disruptions may mediate their association. Recent developments on theoretical neuroscience indicate that instantaneous patterns of brain connectivity and metastability may be a key mechanism in neural communication underlying cognitive performance. However, the potential significance of these patterns across the AD spectrum remains virtually unexplored. We assessed the clinical sensitivity of static and dynamic functional brain disruptions across the AD spectrum using resting-state fMRI in a sample consisting of AD patients (n = 80) and subjects with either mild (n = 44) or subjective (n = 26) cognitive impairment (MCI, SCI). Spatial maps constituting the nodes in the functional brain network and their associated time-series were estimated using spatial group independent component analysis and dual regression, and whole-brain oscillatory activity was analyzed both globally (metastability) and locally (static and dynamic connectivity). Instantaneous phase metrics showed functional coupling alterations in AD compared to MCI and SCI, both static (putamen, dorsal and default-mode) and dynamic (temporal, frontal-superior and default-mode), along with decreased global metastability. The results suggest that brains of AD patients display altered oscillatory patterns, in agreement with theoretical premises on cognitive dynamics.

摘要

随着对阿尔茨海默病(AD)神经病理学和行为学表现的研究不断积累,越来越多的证据表明,大脑的宏观功能障碍可能介导了两者的相关性。理论神经科学的最新进展表明,大脑连接的瞬时模式和亚稳态可能是认知表现所依赖的神经通讯的关键机制。然而,这些模式在 AD 谱系中的潜在意义仍几乎未被探索。我们使用静息态 fMRI 评估了 AD 谱系中静态和动态大脑功能障碍的临床敏感性,研究样本包括 AD 患者(n=80)和轻度认知障碍(MCI,n=44)或主观认知障碍(SCI,n=26)患者。使用空间群组独立成分分析和双回归来估计构成功能大脑网络节点的空间图及其相关时间序列,同时分析全脑的振荡活动(亚稳态)和局部(静态和动态连接)。与 MCI 和 SCI 相比,AD 患者的瞬时相位指标显示出功能连接的改变,包括静态(壳核、背侧和默认模式)和动态(颞叶、额极和默认模式),以及全局亚稳定性的降低。这些结果表明,AD 患者的大脑表现出与认知动力学的理论前提一致的振荡模式改变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/18694626c9bf/srep40268-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/0e8322916789/srep40268-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/5d89b8f69691/srep40268-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/d1b33661b50d/srep40268-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/aaa65ec425e5/srep40268-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/49c0c68835b3/srep40268-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/ad1a0642fdb5/srep40268-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/19202db5b766/srep40268-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/4a6234f380d8/srep40268-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/18694626c9bf/srep40268-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/0e8322916789/srep40268-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/5d89b8f69691/srep40268-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/d1b33661b50d/srep40268-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/aaa65ec425e5/srep40268-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/49c0c68835b3/srep40268-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/ad1a0642fdb5/srep40268-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/19202db5b766/srep40268-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/4a6234f380d8/srep40268-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2b/5225495/18694626c9bf/srep40268-f9.jpg

相似文献

1
Disrupted global metastability and static and dynamic brain connectivity across individuals in the Alzheimer's disease continuum.阿尔茨海默病连续体中个体的全球代谢稳定性和静息态及动态大脑连接中断。
Sci Rep. 2017 Jan 11;7:40268. doi: 10.1038/srep40268.
2
Changes of intranetwork and internetwork functional connectivity in Alzheimer's disease and mild cognitive impairment.阿尔茨海默病和轻度认知障碍中网络内和网络间功能连接的变化。
J Neural Eng. 2016 Aug;13(4):046008. doi: 10.1088/1741-2560/13/4/046008. Epub 2016 Jun 1.
3
Abnormal meta-state activation of dynamic brain networks across the Alzheimer spectrum.阿尔茨海默病谱中动态脑网络的异常元状态激活。
Neuroimage. 2021 May 15;232:117898. doi: 10.1016/j.neuroimage.2021.117898. Epub 2021 Feb 20.
4
A whole-brain computational modeling approach to explain the alterations in resting-state functional connectivity during progression of Alzheimer's disease.一种全脑计算建模方法,用于解释阿尔茨海默病进展过程中静息态功能连接的改变。
Neuroimage Clin. 2017 Aug 8;16:343-354. doi: 10.1016/j.nicl.2017.08.006. eCollection 2017.
5
Aberrant Functional Connectivity Architecture in Alzheimer's Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis.阿尔茨海默病和轻度认知障碍中的异常功能连接结构:一项全脑数据驱动分析
Biomed Res Int. 2015;2015:495375. doi: 10.1155/2015/495375. Epub 2015 Jun 8.
6
Decreased functional connectivity of the amygdala in Alzheimer's disease revealed by resting-state fMRI.静息态 fMRI 显示阿尔茨海默病患者杏仁核功能连接减少。
Eur J Radiol. 2013 Sep;82(9):1531-8. doi: 10.1016/j.ejrad.2013.03.019. Epub 2013 May 3.
7
Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease.阿尔茨海默病中长距离功能连接和加权网络结构受损。
Cereb Cortex. 2014 Jun;24(6):1422-35. doi: 10.1093/cercor/bhs410. Epub 2013 Jan 11.
8
Differentiated Effective Connectivity Patterns of the Executive Control Network in Progressive MCI: A Potential Biomarker for Predicting AD.轻度认知障碍患者执行控制网络的差异化有效连接模式:一种预测阿尔茨海默病的潜在生物标志物
Curr Alzheimer Res. 2017;14(9):937-950. doi: 10.2174/1567205014666170309120200.
9
Impaired Parahippocampus Connectivity in Mild Cognitive Impairment and Alzheimer's Disease.轻度认知障碍和阿尔茨海默病中海马旁回连接受损
J Alzheimers Dis. 2016;49(4):1051-64. doi: 10.3233/JAD-150727.
10
Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.先进机器学习方法在静息态功能磁共振成像网络上的应用,用于识别轻度认知障碍和阿尔茨海默病。
Brain Imaging Behav. 2016 Sep;10(3):799-817. doi: 10.1007/s11682-015-9448-7.

引用本文的文献

1
Topological and geometric signatures of brain network dynamics in Alzheimer's disease.阿尔茨海默病脑网络动力学的拓扑和几何特征
Alzheimers Dement. 2025 Aug;21(8):e70545. doi: 10.1002/alz.70545.
2
Uncovering abnormal gray and white matter connectivity patterns in Alzheimer's disease spectrum: a dynamic graph theory analysis for early detection.揭示阿尔茨海默病谱系中异常的灰质和白质连接模式:用于早期检测的动态图论分析
Front Aging Neurosci. 2025 Jul 22;17:1589018. doi: 10.3389/fnagi.2025.1589018. eCollection 2025.
3
Development of brain metastable dynamics during the equivalent of the third gestational trimester.

本文引用的文献

1
Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models.基于乘积隐马尔可夫模型识别路易体痴呆中的动态功能连接变化
Front Comput Neurosci. 2016 Jun 23;10:60. doi: 10.3389/fncom.2016.00060. eCollection 2016.
2
Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using a Whole-Brain Computational Perspective.亚稳定性与连贯性:从全脑计算视角扩展“通过连贯性进行交流”假说
Trends Neurosci. 2016 Jun;39(6):432. doi: 10.1016/j.tins.2016.04.006. Epub 2016 Apr 27.
3
Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder.
在相当于妊娠晚期第三个月期间脑亚稳态动力学的发展。
Dev Cogn Neurosci. 2025 Apr 7;73:101556. doi: 10.1016/j.dcn.2025.101556.
4
Dynamic properties in functional connectivity changes and striatal dopamine deficiency in Parkinson's disease.帕金森病中功能连接变化和纹状体多巴胺缺乏的动态特性。
Hum Brain Mapp. 2024 Jul 15;45(10):e26776. doi: 10.1002/hbm.26776.
5
Dynamic functional connectivity is modulated by the amount of p-Tau231 in blood in cognitively intact participants.在认知功能正常的参与者中,动态功能连接性受血液中p-Tau231含量的调节。
bioRxiv. 2024 Jun 1:2024.05.29.596323. doi: 10.1101/2024.05.29.596323.
6
Metastability indexes global changes in the dynamic working point of the brain following brain stimulation.亚稳定性指标反映了脑刺激后大脑动态工作点的全局变化。
Front Neurorobot. 2024 Feb 19;18:1336438. doi: 10.3389/fnbot.2024.1336438. eCollection 2024.
7
A synergetic turn in cognitive neuroscience of brain diseases.脑部疾病认知神经科学的协同转向。
Trends Cogn Sci. 2024 Apr;28(4):319-338. doi: 10.1016/j.tics.2023.12.006. Epub 2024 Jan 20.
8
Genetic basis of anatomical asymmetry and aberrant dynamic functional networks in Alzheimer's disease.阿尔茨海默病中解剖学不对称性和异常动态功能网络的遗传基础。
Brain Commun. 2023 Dec 3;6(1):fcad320. doi: 10.1093/braincomms/fcad320. eCollection 2024.
9
Characterizing the spatiotemporal features of functional connectivity across the white matter and gray matter during the naturalistic condition.表征自然状态下白质和灰质功能连接的时空特征。
Front Neurosci. 2023 Nov 9;17:1248610. doi: 10.3389/fnins.2023.1248610. eCollection 2023.
10
Structural, static, and dynamic functional MRI predictors for conversion from mild cognitive impairment to Alzheimer's disease: Inter-cohort validation of Shanghai Memory Study and ADNI.结构、静息态和动态功能 MRI 预测指标在轻度认知障碍向阿尔茨海默病转化中的应用:上海记忆研究与 ADNI 的队列间验证。
Hum Brain Mapp. 2024 Jan;45(1):e26529. doi: 10.1002/hbm.26529. Epub 2023 Nov 22.
动态功能连接揭示了重度抑郁症患者功能连接变异性的改变。
Hum Brain Mapp. 2016 Aug;37(8):2918-30. doi: 10.1002/hbm.23215. Epub 2016 Apr 28.
4
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?滑动窗口相关性能否揭示静息态功能磁共振成像中的动态功能连接性?
Neuroimage. 2016 Feb 15;127:242-256. doi: 10.1016/j.neuroimage.2015.11.055. Epub 2015 Nov 26.
5
Cascading network failure across the Alzheimer's disease spectrum.阿尔茨海默病谱系中的级联网络故障。
Brain. 2016 Feb;139(Pt 2):547-62. doi: 10.1093/brain/awv338. Epub 2015 Nov 19.
6
The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort.质量保证评估对大规模基于人群队列中扩散张量成像结果的影响。
Neuroimage. 2016 Jan 15;125:903-919. doi: 10.1016/j.neuroimage.2015.10.068. Epub 2015 Oct 28.
7
The Rediscovery of Slowness: Exploring the Timing of Cognition.《慢的再发现:探索认知的时间性》
Trends Cogn Sci. 2015 Oct;19(10):616-628. doi: 10.1016/j.tics.2015.07.011.
8
Cognitive Flexibility through Metastable Neural Dynamics Is Disrupted by Damage to the Structural Connectome.结构连接组损伤会破坏通过亚稳态神经动力学实现的认知灵活性。
J Neurosci. 2015 Jun 17;35(24):9050-63. doi: 10.1523/JNEUROSCI.4648-14.2015.
9
Rethinking segregation and integration: contributions of whole-brain modelling.重新思考隔离与融合:全脑建模的贡献。
Nat Rev Neurosci. 2015 Jul;16(7):430-9. doi: 10.1038/nrn3963. Epub 2015 Jun 17.
10
Disintegration of Sensorimotor Brain Networks in Schizophrenia.精神分裂症中感觉运动脑网络的瓦解
Schizophr Bull. 2015 Nov;41(6):1326-35. doi: 10.1093/schbul/sbv060. Epub 2015 May 4.