Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects.
Aging
Cerebrovascular health
Cortical thickness
Optical brain arterial pulse (pulse-DOT)
Resting-state functional connectivity (rsFC)
White matter signal abnormalities (WMSAs)
Journal
Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149
Informations de publication
Date de publication:
2020
2020
Historique:
received:
23
04
2019
accepted:
21
09
2019
entrez:
12
2
2020
pubmed:
12
2
2020
medline:
12
2
2020
Statut:
epublish
Résumé
Age-related declines in cognition are associated with widespread structural and functional brain changes, including changes in resting-state functional connectivity and gray and white matter status. Recently we have shown that the elasticity of cerebral arteries also explains some of the variance in cognitive and brain health in aging. Here, we investigated how network segregation, cerebral arterial elasticity (measured with pulse-DOT-the arterial pulse based on diffuse optical tomography) and gray and white matter status jointly account for age-related differences in cognitive performance. We hypothesized that at least some of the variance in brain and cognitive aging is linked to reduced cerebrovascular elasticity, leading to increased cortical atrophy and white matter abnormalities, which, in turn, are linked to reduced network segregation and decreases in cognitive performance. Pairwise comparisons between these variables are consistent with an exploratory hierarchical model linking them, especially when focusing on association network segregation (compared with segregation in sensorimotor networks). These findings suggest that preventing or slowing age-related changes in one or more of these factors may induce a neurophysiological cascade beneficial for preserving cognition in aging.
Identifiants
pubmed: 32043045
doi: 10.1162/netn_a_00110
pii: netn_a_00110
pmc: PMC7006874
doi:
Types de publication
Journal Article
Langues
eng
Pagination
89-114Subventions
Organisme : NIA NIH HHS
ID : R01 AG059878
Pays : United States
Informations de copyright
© 2019 Massachusetts Institute of Technology.
Déclaration de conflit d'intérêts
Competing Interests: The authors have declared that no competing interests exist.
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