IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-05686-4.html
   My bibliography  Save this article

Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory

Author

Listed:
  • Gino Ferraro

    (City College of New York)

  • Andrea Moreno

    (CSIC and UMH)

  • Byungjoon Min

    (City College of New York
    Chungbuk National University)

  • Flaviano Morone

    (City College of New York)

  • Úrsula Pérez-Ramírez

    (UPV)

  • Laura Pérez-Cervera

    (CSIC and UMH)

  • Lucas C. Parra

    (City College of New York)

  • Andrei Holodny

    (Memorial Sloan Kettering Cancer Center)

  • Santiago Canals

    (CSIC and UMH)

  • Hernán A. Makse

    (City College of New York)

Abstract

The original version of this Article contained an error in the last sentence of the first paragraph of the Introduction, which incorrectly read ‘Correlation of brain activity is typically measured using functional magnetic resonance imaging (fMRI), and the correlation structure is often referred to as “fu’. The correct version states ‘referred to as “functional connectivity”2–6’ in place of ‘referred to as “fu’. This has been corrected in both the PDF and HTML versions of the Article.

Suggested Citation

  • Gino Ferraro & Andrea Moreno & Byungjoon Min & Flaviano Morone & Úrsula Pérez-Ramírez & Laura Pérez-Cervera & Lucas C. Parra & Andrei Holodny & Santiago Canals & Hernán A. Makse, 2018. "Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05686-4
    DOI: 10.1038/s41467-018-05686-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-05686-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-018-05686-4?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Dong & Small, Michael & Zhao, Yi, 2021. "Exploring the optimal network topology for spreading dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    2. Bai, Xiwen & Ma, Zhongjun & Zhou, Yaoming, 2023. "Data-driven static and dynamic resilience assessment of the global liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    3. Liu, Xiang-Chun & Zhu, Xu-Zhen & Tian, Hui & Zhang, Zeng-Ping & Wang, Wei, 2019. "Identifying localized influential spreaders of information spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 92-97.
    4. Hou, Lei, 2022. "Network versus content: The effectiveness in identifying opinion leaders in an online social network with empirical evaluation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).

    More about this item

    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:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05686-4. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.