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

Autor: 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

Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-12 (2018)

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 accumb

Externí odkaz: https://doaj.org/article/2aba73d66c5a4dc486c162f42c3f7d99

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

Autor: 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

Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-1 (2018)

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),

Externí odkaz: https://doaj.org/article/577ed0517ad1483facb93aa2f254f92a

Longitudinal Evaluation of Brain Plasticity in Low-Grade Gliomas: fMRI and Graph-Theory Provide Insights on Language Reorganization

Autor: Luca Pasquini, Kyung K. Peck, Alice Tao, Gino Del Ferraro, Denise D. Correa, Mehrnaz Jenabi, Erik Kobylarz, Zhigang Zhang, Cameron Brennan, Viviane Tabar, Hernán Makse, Andrei I. Holodny

Publikováno v: Cancers
Volume 15
Issue 3
Pages: 836

Language reorganization may represent an adaptive phenomenon to compensate tumor invasion of the dominant hemisphere. However, the functional changes over time underlying language plasticity remain unknown. We evaluated language function in patients

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c0779af3aa7f8119e002deef6390ed
https://doi.org/10.3390/cancers15030836

Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory

Autor: Gino Del Ferraro, Luca Pasquini, Hernán A. Makse, Madeleine Gene, Qiongge Li, Andrei I. Holodny, Kyung K. Peck

Publikováno v: Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)

Pre-surgical language mapping with functional magnetic resonance imaging (fMRI) is routinely conducted to assist the neurosurgeon in preventing damage to brain regions responsible for language. Functional differences exist between the monolingual ver

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9ea8bc599146b5897214ebe55d77c7c

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

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

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
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Nature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
del Ferraro, G, Moreno, A, Min, B, Morone, F, Pérez-Ramírez, Ú, Pérez-Cervera, L, Parra, L C, Andrei, H, Canals, S & Makse, H A 2018, ' Finding influential nodes for integration in brain networks using optimal percolation theory ' Nature Communications . https://doi.org/10.1038/s41467-018-04718-3
Nature Communications

This article has been updated.
Global integration of information in the brain results from complex interactions of segregated brain networks. Identifying the most influential neuronal populations that efficiently bind these networks is a fundame

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45564d1655175c97f764a5199f4a4cd4
http://hdl.handle.net/10261/186461