• 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

一个由弱关系构成的小世界为功能脑网络中自我相似模块的全球最佳整合提供了条件。

A small world of weak ties provides optimal global integration of self-similar modules in functional brain networks.

机构信息

Levich Institute and Physics Department, City College of New York, New York, NY 10031, USA.

出版信息

Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):2825-30. doi: 10.1073/pnas.1106612109. Epub 2012 Feb 3.

DOI:10.1073/pnas.1106612109
PMID:22308319
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3286928/
Abstract

The human brain is organized in functional modules. Such an organization presents a basic conundrum: Modules ought to be sufficiently independent to guarantee functional specialization and sufficiently connected to bind multiple processors for efficient information transfer. It is commonly accepted that small-world architecture of short paths and large local clustering may solve this problem. However, there is intrinsic tension between shortcuts generating small worlds and the persistence of modularity, a global property unrelated to local clustering. Here, we present a possible solution to this puzzle. We first show that a modified percolation theory can define a set of hierarchically organized modules made of strong links in functional brain networks. These modules are "large-world" self-similar structures and, therefore, are far from being small-world. However, incorporating weaker ties to the network converts it into a small world preserving an underlying backbone of well-defined modules. Remarkably, weak ties are precisely organized as predicted by theory maximizing information transfer with minimal wiring cost. This trade-off architecture is reminiscent of the "strength of weak ties" crucial concept of social networks. Such a design suggests a natural solution to the paradox of efficient information flow in the highly modular structure of the brain.

摘要

人类大脑组织在功能模块中。这种组织提出了一个基本的难题:模块应该足够独立,以保证功能专业化,并且足够连接多个处理器,以实现有效的信息传递。人们普遍认为,短路径的小世界结构和大的局部聚类可能会解决这个问题。然而,在生成小世界的捷径和模块性的持久性之间存在内在的紧张关系,模块性是一种与局部聚类无关的全局属性。在这里,我们提出了这个难题的一个可能的解决方案。我们首先表明,修改后的渗流理论可以定义一组由功能大脑网络中的强连接组成的层次化模块。这些模块是“大的世界”自相似结构,因此,远非小世界。然而,将较弱的联系纳入网络会将其转换为一个小世界,同时保留定义明确的模块的基本骨架。值得注意的是,弱联系的组织方式与理论上预测的以最小布线成本最大化信息传输的方式完全一致。这种权衡架构让人联想到社会网络中至关重要的“弱联系的力量”这一概念。这种设计为大脑高度模块化结构中的有效信息流提供了一个自然的解决方案。

相似文献

1
A small world of weak ties provides optimal global integration of self-similar modules in functional brain networks.一个由弱关系构成的小世界为功能脑网络中自我相似模块的全球最佳整合提供了条件。
Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):2825-30. doi: 10.1073/pnas.1106612109. Epub 2012 Feb 3.
2
The conundrum of functional brain networks: small-world efficiency or fractal modularity.功能性脑网络的难题:小世界效率还是分形模块化
Front Physiol. 2012 May 7;3:123. doi: 10.3389/fphys.2012.00123. eCollection 2012.
3
Complex modular structure of large-scale brain networks.大规模脑网络的复杂模块化结构
Chaos. 2009 Jun;19(2):023119. doi: 10.1063/1.3129783.
4
Scaling in topological properties of brain networks.脑网络拓扑属性的标度。
Sci Rep. 2016 Apr 26;6:24926. doi: 10.1038/srep24926.
5
Fractal rules in brain networks: Signatures of self-organization.脑网络中的分形规则:自组织的特征
J Theor Biol. 2018 Jan 21;437:58-66. doi: 10.1016/j.jtbi.2017.09.014. Epub 2017 Sep 18.
6
Trade-off between multiple constraints enables simultaneous formation of modules and hubs in neural systems.多种约束之间的权衡使得神经网络系统中模块和枢纽的同时形成成为可能。
PLoS Comput Biol. 2013;9(3):e1002937. doi: 10.1371/journal.pcbi.1002937. Epub 2013 Mar 7.
7
Model of brain activation predicts the neural collective influence map of the brain.模型的脑激活预测大脑的神经集体影响图。
Proc Natl Acad Sci U S A. 2017 Apr 11;114(15):3849-3854. doi: 10.1073/pnas.1620808114. Epub 2017 Mar 28.
8
Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency.布线成本与效率之间的权衡揭示了灵长类连接组的空间和功能分离与整合特征。
PLoS Comput Biol. 2017 Sep 29;13(9):e1005776. doi: 10.1371/journal.pcbi.1005776. eCollection 2017 Sep.
9
Characterization of anatomical and functional connectivity in the brain: a complex networks perspective.脑的解剖和功能连接的特征:复杂网络的视角。
Int J Psychophysiol. 2010 Sep;77(3):186-94. doi: 10.1016/j.ijpsycho.2010.06.024. Epub 2010 Jun 23.
10
Revealing modular architecture of human brain structural networks by using cortical thickness from MRI.利用磁共振成像(MRI)的皮质厚度揭示人类脑结构网络的模块化架构
Cereb Cortex. 2008 Oct;18(10):2374-81. doi: 10.1093/cercor/bhn003. Epub 2008 Feb 10.

引用本文的文献

1
Uncertainty Quantification of Network Inference with Data Sufficiency.基于数据充分性的网络推理不确定性量化
IEEE Trans Netw Sci Eng. 2025 Sep-Oct;12(5):3600-3610. doi: 10.1109/tnse.2025.3563303. Epub 2025 Apr 22.
2
Contrast subgraphs catch patterns of altered functional connectivity in autism spectrum disorder.对比子图捕捉自闭症谱系障碍中功能连接改变的模式。
Sci Rep. 2025 Jul 7;15(1):24265. doi: 10.1038/s41598-025-04932-2.
3
Symmetries and synchronization from whole-neural activity in the connectome: Integration of functional and structural networks.连接组中全神经活动的对称性与同步性:功能网络与结构网络的整合
Proc Natl Acad Sci U S A. 2025 Jun 10;122(23):e2417850122. doi: 10.1073/pnas.2417850122. Epub 2025 Jun 2.
4
Cortical functional connectivity and topology based on complex network graph theory analysis during acute pain stimuli.基于复杂网络图论分析的急性疼痛刺激期间的皮质功能连接性和拓扑结构
Neurophotonics. 2025 Apr;12(2):025010. doi: 10.1117/1.NPh.12.2.025010. Epub 2025 May 14.
5
Both k-core percolation and directed graph analysis revealed succession and transition of voxels' spatiotemporal progress on dynamic correlation resting-state fMRI.k核渗流和有向图分析均揭示了静息态功能磁共振成像(fMRI)动态相关性中体素时空进程的连续性和转变。
Front Hum Neurosci. 2025 Apr 16;19:1543854. doi: 10.3389/fnhum.2025.1543854. eCollection 2025.
6
Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis.告诉我原因:基于功能磁共振成像的网络分析基本构建模块的范围综述。
Neuroimage Clin. 2025;46:103785. doi: 10.1016/j.nicl.2025.103785. Epub 2025 Apr 13.
7
Resting-State Sensory-Motor Connectivity between Hand and Mouth as a Neural Marker of Socioeconomic Disadvantage, Psychosocial Stress, Cognitive Difficulties, Impulsivity, Depression, and Substance Use in Children.手与口之间的静息态感觉运动连接作为儿童社会经济劣势、心理社会压力、认知困难、冲动性、抑郁和物质使用的神经标志物
J Cell Neurosci. 2025;2(1):31-46. doi: 10.31586/jcn.2025.1280. Epub 2025 Mar 25.
8
The multiscale self-similarity of the weighted human brain connectome.加权人类脑连接组的多尺度自相似性。
PLoS Comput Biol. 2025 Apr 7;21(4):e1012848. doi: 10.1371/journal.pcbi.1012848. eCollection 2025 Apr.
9
Quantifying the diverse contributions of hierarchical muscle interactions to motor function.量化分级肌肉相互作用对运动功能的多种贡献。
iScience. 2024 Dec 16;28(1):111613. doi: 10.1016/j.isci.2024.111613. eCollection 2025 Jan 17.
10
Alterations of upper-extremity functional muscle networks in chronic stroke survivors.慢性中风幸存者上肢功能性肌肉网络的改变
Exp Brain Res. 2024 Dec 23;243(1):31. doi: 10.1007/s00221-024-06973-x.

本文引用的文献

1
The human Turing machine: a neural framework for mental programs.人类图灵机:一种用于心理程序的神经框架。
Trends Cogn Sci. 2011 Jul;15(7):293-300. doi: 10.1016/j.tics.2011.05.007. Epub 2011 Jun 21.
2
Modular and hierarchically modular organization of brain networks.大脑网络的模块化和层次模块化组织。
Front Neurosci. 2010 Dec 8;4:200. doi: 10.3389/fnins.2010.00200. eCollection 2010.
3
Efficient physical embedding of topologically complex information processing networks in brains and computer circuits.高效地将拓扑复杂的信息处理网络物理嵌入大脑和计算机电路中。
PLoS Comput Biol. 2010 Apr 22;6(4):e1000748. doi: 10.1371/journal.pcbi.1000748.
4
Small-world to fractal transition in complex networks: a renormalization group approach.复杂网络中的小世界到分形过渡:重整化群方法。
Phys Rev Lett. 2010 Jan 15;104(2):025701. doi: 10.1103/PhysRevLett.104.025701. Epub 2010 Jan 11.
5
Towards design principles for optimal transport networks.面向最优运输网络的设计原则。
Phys Rev Lett. 2010 Jan 8;104(1):018701. doi: 10.1103/PhysRevLett.104.018701. Epub 2010 Jan 6.
6
Modularity map of the network of human cell differentiation.人类细胞分化网络的模块化图谱。
Proc Natl Acad Sci U S A. 2010 Mar 30;107(13):5750-5. doi: 10.1073/pnas.0914748107. Epub 2010 Mar 10.
7
The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour.灵长类动物大脑的多重需求(MD)系统:智能行为的心理程序。
Trends Cogn Sci. 2010 Apr;14(4):172-9. doi: 10.1016/j.tics.2010.01.004. Epub 2010 Feb 18.
8
Assessing the relevance of node features for network structure.评估节点特征与网络结构的相关性。
Proc Natl Acad Sci U S A. 2009 Jul 14;106(28):11433-8. doi: 10.1073/pnas.0811511106. Epub 2009 Jul 1.
9
Complex networks renormalization: flows and fixed points.复杂网络重整化:流与不动点。
Phys Rev Lett. 2008 Oct 3;101(14):148701. doi: 10.1103/PhysRevLett.101.148701. Epub 2008 Oct 1.
10
Brain mechanisms of serial and parallel processing during dual-task performance.双任务执行过程中串行与并行处理的脑机制。
J Neurosci. 2008 Jul 23;28(30):7585-98. doi: 10.1523/JNEUROSCI.0948-08.2008.