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

Nature Communicationsvolume 9, Article number: 3156 (2018) | Download Citation

Correction to: Nature Communications https://doi.org/10.1038/s41467-018-04718-3; published online: 11 June 2018

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.

Author information

Author notes

  1. These authors contributed equally: Gino Del Ferraro, Andrea Moreno.

Affiliations

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

    • Gino Del Ferraro
    • , Byungjoon Min
    • , Flaviano Morone
    •  & Hernán A. Makse
  2. Instituto de Neurociencias, CSIC and UMH, 03550, San Juan de Alicante, Spain

    • Andrea Moreno
    • , Laura Pérez-Cervera
    •  & Santiago Canals
  3. Department of Physics, Chungbuk National University, Cheongju, Chungbuk, 28644, Korea

    • Byungjoon Min
  4. Center for Biomaterials and Tissue Engineering, UPV, Valencia, 46022, Spain

    • Úrsula Pérez-Ramírez
  5. Biomedical Engineering, City College of New York, New York, NY, 10031, USA

    • Lucas C. Parra
  6. Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA

    • Andrei Holodny

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Corresponding authors

Correspondence to Santiago Canals or Hernán A. Makse.

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DOI

https://doi.org/10.1038/s41467-018-05686-4

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