The dynamic functional connectivity fingerprint of high-grade gliomas.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
27 06 2023
27 06 2023
Historique:
received:
17
11
2022
accepted:
22
06
2023
medline:
29
6
2023
pubmed:
28
6
2023
entrez:
27
6
2023
Statut:
epublish
Résumé
Resting state fMRI has been used in many studies to investigate the impact of brain tumours on functional connectivity (FC). However, these studies have so far assumed that FC is stationary, disregarding the fact that the brain fluctuates over dynamic states. Here we utilised resting state fMRI data from 33 patients with high-grade gliomas and 33 healthy controls to examine the dynamic interplay between resting-state networks and to gain insights into the impact of brain tumours on functional dynamics. By employing Hidden Markov Models, we demonstrated that functional dynamics persist even in the presence of a high-grade glioma, and that patients exhibited a global decrease of connections strength, as well as of network segregation. Furthermore, through a multivariate analysis, we demonstrated that patients' cognitive scores are highly predictive of pathological dynamics, thus supporting our hypothesis that functional dynamics could serve as valuable biomarkers for better understanding the traits of high-grade gliomas.
Identifiants
pubmed: 37369744
doi: 10.1038/s41598-023-37478-2
pii: 10.1038/s41598-023-37478-2
pmc: PMC10300022
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
10389Informations de copyright
© 2023. The Author(s).
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