Topological impact of negative links on the stability of resting-state brain network

Abstract Stability is a physical attribute that stands opposite the change. However, it is still unclear how the arrangement of links called topology affects network stability. In this study, we tackled this issue in the resting-state brain network using structural balance. Structural balance theory...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Majid Saberi, Reza Khosrowabadi, Ali Khatibi, Bratislav Misic, Gholamreza Jafari
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/60a0a369a4394388a7f1f248231619a5
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:60a0a369a4394388a7f1f248231619a5
record_format dspace
spelling oai:doaj.org-article:60a0a369a4394388a7f1f248231619a52021-12-02T10:47:54ZTopological impact of negative links on the stability of resting-state brain network10.1038/s41598-021-81767-72045-2322https://doaj.org/article/60a0a369a4394388a7f1f248231619a52021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81767-7https://doaj.org/toc/2045-2322Abstract Stability is a physical attribute that stands opposite the change. However, it is still unclear how the arrangement of links called topology affects network stability. In this study, we tackled this issue in the resting-state brain network using structural balance. Structural balance theory employs the quality of triadic associations between signed links to determine the network stability. In this study, we showed that negative links of the resting-state network make hubs to reduce balance-energy and push the network into a more stable state compared to null-networks with trivial topologies. In this regard, we created a global measure entitled ‘tendency to make hub’ to assess the hubness of the network. Besides, we revealed nodal degrees of negative links have an exponential distribution that confirms the existence of negative hubs. Our findings indicate that the arrangement of negative links plays an important role in the balance (stability) of the resting-state brain network.Majid SaberiReza KhosrowabadiAli KhatibiBratislav MisicGholamreza JafariNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Majid Saberi
Reza Khosrowabadi
Ali Khatibi
Bratislav Misic
Gholamreza Jafari
Topological impact of negative links on the stability of resting-state brain network
description Abstract Stability is a physical attribute that stands opposite the change. However, it is still unclear how the arrangement of links called topology affects network stability. In this study, we tackled this issue in the resting-state brain network using structural balance. Structural balance theory employs the quality of triadic associations between signed links to determine the network stability. In this study, we showed that negative links of the resting-state network make hubs to reduce balance-energy and push the network into a more stable state compared to null-networks with trivial topologies. In this regard, we created a global measure entitled ‘tendency to make hub’ to assess the hubness of the network. Besides, we revealed nodal degrees of negative links have an exponential distribution that confirms the existence of negative hubs. Our findings indicate that the arrangement of negative links plays an important role in the balance (stability) of the resting-state brain network.
format article
author Majid Saberi
Reza Khosrowabadi
Ali Khatibi
Bratislav Misic
Gholamreza Jafari
author_facet Majid Saberi
Reza Khosrowabadi
Ali Khatibi
Bratislav Misic
Gholamreza Jafari
author_sort Majid Saberi
title Topological impact of negative links on the stability of resting-state brain network
title_short Topological impact of negative links on the stability of resting-state brain network
title_full Topological impact of negative links on the stability of resting-state brain network
title_fullStr Topological impact of negative links on the stability of resting-state brain network
title_full_unstemmed Topological impact of negative links on the stability of resting-state brain network
title_sort topological impact of negative links on the stability of resting-state brain network
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/60a0a369a4394388a7f1f248231619a5
work_keys_str_mv AT majidsaberi topologicalimpactofnegativelinksonthestabilityofrestingstatebrainnetwork
AT rezakhosrowabadi topologicalimpactofnegativelinksonthestabilityofrestingstatebrainnetwork
AT alikhatibi topologicalimpactofnegativelinksonthestabilityofrestingstatebrainnetwork
AT bratislavmisic topologicalimpactofnegativelinksonthestabilityofrestingstatebrainnetwork
AT gholamrezajafari topologicalimpactofnegativelinksonthestabilityofrestingstatebrainnetwork
_version_ 1718396713954181120