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...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
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 |