• 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

对结构分离对静息态功能连接的影响进行建模。

Modeling the outcome of structural disconnection on resting-state functional connectivity.

机构信息

Center of Brain and Cognition, Theoretical and Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain.

出版信息

Neuroimage. 2012 Sep;62(3):1342-53. doi: 10.1016/j.neuroimage.2012.06.007. Epub 2012 Jun 13.

DOI:10.1016/j.neuroimage.2012.06.007
PMID:22705375
Abstract

A growing body of experimental evidence suggests that functional connectivity at rest is shaped by the underlying anatomical structure. Furthermore, the organizational properties of resting-state functional networks are thought to serve as the basis for an optimal cognitive integration. A disconnection at the structural level, as occurring in some brain diseases, would then lead to functional and presumably cognitive impairments. In this work, we propose a computational model to investigate the role of a structural disconnection (encompassing putative local/global and axonal/synaptic mechanisms) on the organizational properties of emergent functional networks. The brain's spontaneous neural activity and the corresponding hemodynamic response were simulated using a large-scale network model, consisting of local neural populations coupled through white matter fibers. For a certain coupling strength, simulations reproduced healthy resting-state functional connectivity with graph properties in the range of the ones reported experimentally. When the structural connectivity is decreased, either globally or locally, the resultant simulated functional connectivity exhibited a network reorganization characterized by an increase in hierarchy, efficiency and robustness, a decrease in small-worldness and clustering and a narrower degree distribution, in the same way as recently reported for schizophrenia patients. Theoretical results indicate that most disconnection-related neuropathologies should induce the same qualitative changes in resting-state brain activity.

摘要

越来越多的实验证据表明,静息状态下的功能连接受潜在解剖结构的影响。此外,静息态功能网络的组织特性被认为是实现最佳认知整合的基础。如果结构水平上出现连接中断,如某些脑部疾病中发生的那样,那么就会导致功能,可能还会导致认知障碍。在这项工作中,我们提出了一个计算模型来研究结构连接中断(包括局部/全局和轴突/突触机制)对新兴功能网络的组织特性的影响。使用一个由局部神经元群体通过白质纤维耦合而成的大规模网络模型,模拟了大脑的自发神经活动和相应的血液动力学反应。在一定的耦合强度下,模拟再现了具有实验报道的范围内图性质的健康静息状态功能连接。当结构连接无论是全局还是局部减少时,模拟得到的功能连接表现出网络重组的特征,表现为层次结构、效率和鲁棒性的增加,小世界特性和聚类的减少,以及度分布变窄,与最近报告的精神分裂症患者的情况相同。理论结果表明,大多数与连接中断相关的神经病理学应该会导致静息态大脑活动发生相同的定性变化。

相似文献

1
Modeling the outcome of structural disconnection on resting-state functional connectivity.对结构分离对静息态功能连接的影响进行建模。
Neuroimage. 2012 Sep;62(3):1342-53. doi: 10.1016/j.neuroimage.2012.06.007. Epub 2012 Jun 13.
2
Functional graph alterations in schizophrenia: a result from a global anatomic decoupling?精神分裂症的功能图谱改变:是全局解剖解耦的结果?
Pharmacopsychiatry. 2012 May;45 Suppl 1:S57-64. doi: 10.1055/s-0032-1309001. Epub 2012 May 7.
3
Changes in structural and functional connectivity among resting-state networks across the human lifespan.人类一生中静息态网络间结构和功能连接性的变化。
Neuroimage. 2014 Nov 15;102 Pt 2:345-57. doi: 10.1016/j.neuroimage.2014.07.067. Epub 2014 Aug 7.
4
Non-parametric model selection for subject-specific topological organization of resting-state functional connectivity.基于非参数模型的静息态功能连接的个体特定拓扑组织的选择。
Neuroimage. 2011 Jun 1;56(3):1453-62. doi: 10.1016/j.neuroimage.2011.02.028. Epub 2011 Feb 19.
5
Exploring mechanisms of spontaneous functional connectivity in MEG: how delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations.探索脑磁图中自发功能连接的机制:延迟的网络相互作用如何导致带通滤波振荡的结构化幅度包络。
Neuroimage. 2014 Apr 15;90:423-35. doi: 10.1016/j.neuroimage.2013.11.047. Epub 2013 Dec 7.
6
The application of graph theoretical analysis to complex networks in the brain.图论分析在大脑复杂网络中的应用。
Clin Neurophysiol. 2007 Nov;118(11):2317-31. doi: 10.1016/j.clinph.2007.08.010. Epub 2007 Sep 27.
7
Identifying the brain's most globally connected regions.识别大脑中连接最广泛的区域。
Neuroimage. 2010 Feb 15;49(4):3132-48. doi: 10.1016/j.neuroimage.2009.11.001. Epub 2009 Nov 10.
8
The relationship between structural and functional connectivity: graph theoretical analysis of an EEG neural mass model.结构连接和功能连接之间的关系:基于 EEG 神经质量模型的图论分析。
Neuroimage. 2010 Sep;52(3):985-94. doi: 10.1016/j.neuroimage.2009.10.049. Epub 2009 Oct 22.
9
Graph theoretical analysis of human brain structural networks.人类大脑结构网络的图论分析。
Rev Neurosci. 2011;22(5):551-63. doi: 10.1515/RNS.2011.039. Epub 2011 Aug 24.
10
Dynamic functional connectivity.动态功能连接性
Curr Opin Neurobiol. 2007 Apr;17(2):161-70. doi: 10.1016/j.conb.2007.03.008. Epub 2007 Mar 26.

引用本文的文献

1
Spectral graph model for fMRI: A biophysical, connectivity-based generative model for the analysis of frequency-resolved resting-state fMRI.功能磁共振成像的谱图模型:一种基于生物物理和连接性的生成模型,用于分析频率分辨静息态功能磁共振成像。
Imaging Neurosci (Camb). 2024 Dec 9;2. doi: 10.1162/imag_a_00381. eCollection 2024.
2
Using an ordinary differential equation model to separate rest and task signals in fMRI.使用常微分方程模型在功能磁共振成像中分离静息和任务信号。
Nat Commun. 2025 Aug 3;16(1):7128. doi: 10.1038/s41467-025-62491-6.
3
Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders.
适应性全脑动力学预测方法:与精神障碍的相关性
Research (Wash D C). 2025 Apr 5;8:0648. doi: 10.34133/research.0648. eCollection 2025.
4
Neural mass modeling for the masses: Democratizing access to whole-brain biophysical modeling with FastDMF.面向大众的神经群体建模:通过FastDMF实现全脑生物物理建模的普及。
Netw Neurosci. 2024 Dec 10;8(4):1590-1612. doi: 10.1162/netn_a_00410. eCollection 2024.
5
Beyond Focal Lesions: Dynamical Network Effects of White Matter Hyperintensities.超越局灶性病变:白质高信号的动态网络效应
Hum Brain Mapp. 2024 Dec 1;45(17):e70081. doi: 10.1002/hbm.70081.
6
Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.用于功能磁共振成像任务连接组学的全脑任务调制功能连接方法比较
bioRxiv. 2024 Oct 14:2024.01.22.576622. doi: 10.1101/2024.01.22.576622.
7
Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.全脑任务调制功能连接方法在 fMRI 任务连接组学中的比较。
Commun Biol. 2024 Oct 26;7(1):1402. doi: 10.1038/s42003-024-07088-3.
8
A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia.一种动态熵方法揭示了精神分裂症中功能网络连接轨迹复杂性的降低。
Entropy (Basel). 2024 Jun 26;26(7):545. doi: 10.3390/e26070545.
9
Spectral graph model for fMRI: a biophysical, connectivity-based generative model for the analysis of frequency-resolved resting state fMRI.功能磁共振成像的谱图模型:一种基于生物物理、连接性的生成模型,用于分析频率分辨静息态功能磁共振成像。
bioRxiv. 2024 Mar 27:2024.03.22.586305. doi: 10.1101/2024.03.22.586305.
10
Brain dynamics predictive of response to psilocybin for treatment-resistant depression.预测对治疗抵抗性抑郁症使用裸盖菇素反应的脑动力学
Brain Commun. 2024 Feb 15;6(2):fcae049. doi: 10.1093/braincomms/fcae049. eCollection 2024.