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

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

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.

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2018-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-04718-3
Description
Summary: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.
ISSN:2041-1723

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