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/s41467-018-04718-3

Nature Communications (Jun 2018)

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

Affiliations

Gino Del Ferraro: Levich Institute and Physics Department, City College of New York
Andrea Moreno: Instituto de Neurociencias, CSIC and UMH
Byungjoon Min: Levich Institute and Physics Department, City College of New York
Flaviano Morone: Levich Institute and Physics Department, City College of New York
Úrsula Pérez-Ramírez: Center for Biomaterials and Tissue Engineering, UPV
Laura Pérez-Cervera: Instituto de Neurociencias, CSIC and UMH
Lucas C. Parra: Biomedical Engineering, City College of New York
Andrei Holodny: Department of Radiology, Memorial Sloan Kettering Cancer Center
Santiago Canals: Instituto de Neurociencias, CSIC and UMH
Hernán A. Makse: Levich Institute and Physics Department, City College of New York

DOI: https://doi.org/10.1038/s41467-018-04718-3
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 12

Abstract

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Complex networks can be used to model brain networks. Here the authors identify the essential nodes in a model of a brain network and then validate these predictions by means of in vivo pharmacogenetic interventions. They find that the nucleus accumbens is a central region for brain integration.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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