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Del Ferraro G, Moreno A, Min B, et al. Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory. Nat Commun. 2018;9(1):3156doi: 10.1038/s41467-018-05686-4.
Del Ferraro, G., Moreno, A., Min, B., Morone, F., Pérez-Ramírez, �. �., Pérez-Cervera, L., Parra, L. C., Holodny, A., Canals, S., & Makse, H. A. (2018). Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory. Nature communications, 9(1), 3156. https://doi.org/10.1038/s41467-018-05686-4
Del Ferraro, Gino, et al. "Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory." Nature communications vol. 9,1 (2018): 3156. doi: https://doi.org/10.1038/s41467-018-05686-4
Del Ferraro G, Moreno A, Min B, Morone F, Pérez-Ramírez Ú, Pérez-Cervera L, Parra LC, Holodny A, Canals S, Makse HA. Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory. Nat Commun. 2018 Aug 03;9(1):3156. doi: 10.1038/s41467-018-05686-4. PMID: 30076304; PMCID: PMC6076313.
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Nat Commun. 2018 Aug 03;9(1):3156. doi: 10.1038/s41467-018-05686-4.

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

Nature communications

Gino Del Ferraro, Andrea Moreno, Byungjoon Min, Flaviano Morone, Úrsula Pérez-Ramírez, Laura Pérez-Cervera, Lucas C Parra, Andrei Holodny, Santiago Canals, Hernán A Makse

Affiliations

  1. Levich Institute and Physics Department, City College of New York, New York, NY, 10031, USA.
  2. Instituto de Neurociencias, CSIC and UMH, 03550, San Juan de Alicante, Spain.
  3. Department of Physics, Chungbuk National University, Cheongju, Chungbuk, 28644, Korea.
  4. Center for Biomaterials and Tissue Engineering, UPV, Valencia, 46022, Spain.
  5. Biomedical Engineering, City College of New York, New York, NY, 10031, USA.
  6. Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  7. Instituto de Neurociencias, CSIC and UMH, 03550, San Juan de Alicante, Spain. [email protected].
  8. Levich Institute and Physics Department, City College of New York, New York, NY, 10031, USA. [email protected].

PMID: 30076304 PMCID: PMC6076313 DOI: 10.1038/s41467-018-05686-4

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"

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