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

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

doi:10.1038/s41467-018-05686-4

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

Nat Commun. 2018 Aug 3;9(1):3156. doi: 10.1038/s41467-018-05686-4.

Authors

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. scanals@umh.es.
⁸ Levich Institute and Physics Department, City College of New York, New York, NY, 10031, USA. hmakse@lev.ccny.cuny.edu.

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.

Publication types

Published Erratum