Associations of white matter hyperintensities with networks of gray matter blood flow and volume in midlife adults: A coronary artery risk development in young adults magnetic resonance imaging substudy.
CARDIA
cerebral blood flow
covariance
graph theory
gray matter volume
small vessel disease
white matter hyperintensities
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
15 08 2022
15 08 2022
Historique:
revised:
01
04
2022
received:
11
02
2022
accepted:
04
04
2022
pubmed:
17
4
2022
medline:
22
7
2022
entrez:
16
4
2022
Statut:
ppublish
Résumé
White matter hyperintensities (WMHs) are emblematic of cerebral small vessel disease, yet effects on the brain have not been well characterized at midlife. Here, we investigated whether WMH volume is associated with brain network alterations in midlife adults. Two hundred and fifty-four participants from the Coronary Artery Risk Development in Young Adults study were selected and stratified by WMH burden into Lo-WMH (mean age = 50 ± 3.5 years) and Hi-WMH (mean age = 51 ± 3.7 years) groups of equal size. We constructed group-level covariance networks based on cerebral blood flow (CBF) and gray matter volume (GMV) maps across 74 gray matter regions. Through consensus clustering, we found that both CBF and GMV covariance networks partitioned into modules that were largely consistent between groups. Next, CBF and GMV covariance network topologies were compared between Lo- and Hi-WMH groups at global (clustering coefficient, characteristic path length, global efficiency) and regional (degree, betweenness centrality, local efficiency) levels. At the global level, there were no between-group differences in either CBF or GMV covariance networks. In contrast, we found between-group differences in the regional degree, betweenness centrality, and local efficiency of several brain regions in both CBF and GMV covariance networks. Overall, CBF and GMV covariance analyses provide evidence that WMH-related network alterations are present at midlife.
Identifiants
pubmed: 35429100
doi: 10.1002/hbm.25876
pmc: PMC9294299
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3680-3693Subventions
Organisme : NIA NIH HHS
ID : R03 AG063213
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800004I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800007I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800005I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800006I
Pays : United States
Organisme : CIHR
ID : 165981
Pays : Canada
Informations de copyright
© 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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