IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v194y2025ics096007792500147x.html
   My bibliography  Save this article

A remote synchronization model of community networks with homogeneous frequencies

Author

Listed:
  • Lu, Zhengqiang
  • Chen, Dehua
  • Gao, Ruohua
  • Boccaletti, Stefano
  • Minati, Ludovico
  • Liu, Zonghua

Abstract

In complex nervous systems such as the human brain, the structural and physiological connectivities are only partially correlated, and significant interdependence is observed between the activity of cortical regions that are not directly interconnected. A potential substrate for this decoupling is the phenomenon of remote synchronization, wherein non-adjacent node ensembles become preferentially entrained under suitable conditions. Early studies involving star graphs were grounded on a significant natural frequency mismatch between the hub and leaves. However, this requirement has poor ecological validity, that is, a substantial frequency difference between the hub and leaf nodes is not typically satisfied in biological neural networks. In this study, we propose a community network model comprising one hub community and multiple leaf communities, where all nodes share homogeneous frequencies. A time delay is applied exclusively to the connections associated with the hub community. It is found that the emergence of remote synchronization depends on the coupling strength and time delay matching. Additionally, periodic resonances are observed concerning the natural frequency as well as the time delay. These results are robust across different oscillators and can be accounted for using an equivalent star graph with time delay. By underlining the importance of time delays, a pervasive property of signal propagation in the brain, these results offer a new perspective on the intricate relationship between the configuration of structural couplings and resulting activity synchronization.

Suggested Citation

  • Lu, Zhengqiang & Chen, Dehua & Gao, Ruohua & Boccaletti, Stefano & Minati, Ludovico & Liu, Zonghua, 2025. "A remote synchronization model of community networks with homogeneous frequencies," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:chsofr:v:194:y:2025:i:c:s096007792500147x
    DOI: 10.1016/j.chaos.2025.116134
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096007792500147X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2025.116134?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Deng, Liyuan & Huo, Siyu & Chen, Aihua & Liu, Zonghua, 2024. "Coupling resonance of signal responses induced by heterogeneously mixed positive and negative couplings in cognitive subnetworks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    2. Philipp Schlegel & Yijie Yin & Alexander S. Bates & Sven Dorkenwald & Katharina Eichler & Paul Brooks & Daniel S. Han & Marina Gkantia & Marcia Santos & Eva J. Munnelly & Griffin Badalamente & Laia Se, 2024. "Whole-brain annotation and multi-connectome cell typing of Drosophila," Nature, Nature, vol. 634(8032), pages 139-152, October.
    3. Hansen, Matheus & Protachevicz, Paulo R. & Iarosz, Kelly C. & Caldas, Iberê L. & Batista, Antonio M. & Macau, Elbert E.N., 2022. "The effect of time delay for synchronisation suppression in neuronal networks," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    4. Gao, Ruohua & Lu, Zhengqiang & Liu, Zonghua, 2024. "Bridge links induced remote synchronization in multiple connected star graphs," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    5. Cao, Haoyu & Yang, Zhiyin & Liu, Zonghua, 2023. "Remote synchronization in multi-layered community networks with star-like topology," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    6. Pieter R. Roelfsema & Andreas K. Engel & Peter König & Wolf Singer, 1997. "Visuomotor integration is associated with zero time-lag synchronization among cortical areas," Nature, Nature, vol. 385(6612), pages 157-161, January.
    7. Luo, Kaiming & Cai, Zongkai & Liu, Zonghua & Guan, Shuguang & Zou, Yong, 2024. "Effects of uncommon non-isochronicities on remote synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huo, Siyu & Yao, Nan & Huang, Zi-Gang & Liu, Zonghua, 2025. "Remote synchronization induced by external signals in star networks," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    2. Xiaoyi Ouyang & Sabyasachi Sutradhar & Olivier Trottier & Sonal Shree & Qiwei Yu & Yuhai Tu & Jonathon Howard, 2025. "Neurons exploit stochastic growth to rapidly and economically build dense dendritic arbors," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
    3. repec:plo:pcbi00:1002354 is not listed on IDEAS
    4. López, Álvaro G., 2023. "Orbit quantization in a retarded harmonic oscillator," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    5. Teresa Lázaro & Roger Guimerà & Marta Sales-Pardo, 2025. "Probabilistic alignment of multiple networks," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    6. Su-Yee J. Lee & Chris J. Dallmann & Andrew Cook & John C. Tuthill & Sweta Agrawal, 2025. "Divergent neural circuits for proprioceptive and exteroceptive sensing of the Drosophila leg," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
    7. Wang, Xinyi & Zhang, Xiyun & Zheng, Muhua & Xu, Leijun & Xu, Kesheng, 2023. "Noise-induced coexisting firing patterns in hybrid-synaptic interacting networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    8. Shen, Qiwei & Liu, Zonghua, 2023. "Unidirectional links prefer local firing propagation in the neural network of C. elegans," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    9. repec:plo:pcbi00:1005928 is not listed on IDEAS
    10. repec:plo:pone00:0071369 is not listed on IDEAS
    11. repec:plo:pone00:0074910 is not listed on IDEAS
    12. Gao, Ruohua & Lu, Zhengqiang & Liu, Zonghua, 2024. "Bridge links induced remote synchronization in multiple connected star graphs," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    13. Nils Reinhard & Ayumi Fukuda & Giulia Manoli & Emilia Derksen & Aika Saito & Gabriel Möller & Manabu Sekiguchi & Dirk Rieger & Charlotte Helfrich-Förster & Taishi Yoshii & Meet Zandawala, 2024. "Synaptic connectome of the Drosophila circadian clock," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    14. repec:plo:pone00:0178975 is not listed on IDEAS
    15. Wu, Yong & Xie, Ying & Huang, Weifang & Jia, Ya & Ye, Zhiqiu & Ding, Qianming, 2025. "Effects of network structure and node dynamics on synchronization with time delays," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    16. Erfan Zabeh & Nicholas C. Foley & Joshua Jacobs & Jacqueline P. Gottlieb, 2023. "Beta traveling waves in monkey frontal and parietal areas encode recent reward history," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    17. Danique Jeurissen & Anne F. Ham & Amparo Gilhuis & Paolo Papale & Pieter R. Roelfsema & Matthew W. Self, 2024. "Border-ownership tuning determines the connectivity between V4 and V1 in the macaque visual system," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    18. Protachevicz, Paulo Ricardo & Borges, Fernando da Silva & Batista, Antonio Marcos & Baptista, Murilo da Silva & Caldas, Iberê Luiz & Macau, Elbert Einstein Nehrer & Lameu, Ewandson Luiz, 2023. "Plastic neural network with transmission delays promotes equivalence between function and structure," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    19. Deng, Bin & Deng, Yun & Yu, Haitao & Guo, Xinmeng & Wang, Jiang, 2016. "Dependence of inter-neuronal effective connectivity on synchrony dynamics in neuronal network motifs," Chaos, Solitons & Fractals, Elsevier, vol. 82(C), pages 48-59.
    20. repec:plo:pbio00:3000487 is not listed on IDEAS
    21. repec:plo:pcbi00:1002062 is not listed on IDEAS
    22. repec:plo:pone00:0044633 is not listed on IDEAS
    23. Hu, Xueyan & Ding, Qianming & Wu, Yong & Huang, Weifang & Yang, Lijian & Jia, Ya, 2024. "Dynamical rewiring promotes synchronization in memristive FitzHugh-Nagumo neuronal networks," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
    24. repec:plo:pone00:0003649 is not listed on IDEAS
    25. Chen, XinYue & Li, Fan & Liu, Shuai & Zou, Wei, 2023. "Emergent behavior of conjugate-coupled Stuart–Landau oscillators in directed star networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    26. Xuejiao Tian & Tzu-Yang Lin & Po-Ting Lin & Min-Ju Tsai & Hsin Chen & Wen-Jie Chen & Chia-Ming Lee & Chiao-Hui Tu & Jui-Cheng Hsu & Tung-Han Hsieh & Yi-Chung Tung & Chien-Kai Wang & Suewei Lin & Li-An, 2024. "Rapid lightsheet fluorescence imaging of whole Drosophila brains at nanoscale resolution by potassium acrylate-based expansion microscopy," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    27. Farrera-Megchun, Agustin & Padilla-Longoria, Pablo & Santos, Gerardo J. Escalera & Espinal-Enríquez, Jesús & Bernal-Jaquez, Roberto, 2024. "Neuron configuration enhances the synchronization dynamics in ring networks with heterogeneous firing patterns," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    28. Wu, Yong & Ding, Qianming & Huang, Weifang & Hu, Xueyan & Ye, Zhiqiu & Jia, Ya, 2024. "Dynamic modulation of external excitation enhance synchronization in complex neuronal network," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    29. Isak S. Pretorius & Thomas A. Dixon & Michael Boers & Ian T. Paulsen & Daniel L. Johnson, 2025. "The coming wave of confluent biosynthetic, bioinformational and bioengineering technologies," Nature Communications, Nature, vol. 16(1), pages 1-8, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:194:y:2025:i:c:s096007792500147x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.