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

Gino Ferraro, Andrea Moreno, Byungjoon Min, Flaviano Morone, Úrsula Pérez-Ramírez, Laura Pérez-Cervera, Lucas C. Parra, Andrei Holodny, Santiago Canals () and Hernán A. Makse ()
Additional contact information
Gino Ferraro: City College of New York
Andrea Moreno: CSIC and UMH
Byungjoon Min: City College of New York
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

Nature Communications, 2018, vol. 9, issue 1, 1-1

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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05686-4

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DOI: 10.1038/s41467-018-05686-4

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