Network analysis shows decreased ipsilesional structural connectivity in glioma patients.
Journal
Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179
Informations de publication
Date de publication:
23 03 2022
23 03 2022
Historique:
received:
08
09
2021
accepted:
22
02
2022
entrez:
24
3
2022
pubmed:
25
3
2022
medline:
13
4
2022
Statut:
epublish
Résumé
Gliomas that infiltrate networks and systems, such as the motor system, often lead to substantial functional impairment in multiple systems. Network-based statistics (NBS) allow to assess local network differences and graph theoretical analyses enable investigation of global and local network properties. Here, we used network measures to characterize glioma-related decreases in structural connectivity by comparing the ipsi- with the contralesional hemispheres of patients and correlated findings with neurological assessment. We found that lesion location resulted in differential impairment of both short and long connectivity patterns. Network analysis showed reduced global and local efficiency in the ipsilesional hemisphere compared to the contralesional hemispheric networks, which reflect the impairment of information transfer across different regions of a network.
Identifiants
pubmed: 35322812
doi: 10.1038/s42003-022-03190-6
pii: 10.1038/s42003-022-03190-6
pmc: PMC8943189
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
258Informations de copyright
© 2022. The Author(s).
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