Topological impact of negative links on the stability of resting-state brain network.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
26 01 2021
26 01 2021
Historique:
received:
30
03
2020
accepted:
12
01
2021
entrez:
27
1
2021
pubmed:
28
1
2021
medline:
18
9
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33500525
doi: 10.1038/s41598-021-81767-7
pii: 10.1038/s41598-021-81767-7
pmc: PMC7838299
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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