Longitudinal functional brain network reconfiguration in healthy aging.
Age Factors
Aged
Aged, 80 and over
Aging
/ physiology
Cognition
/ physiology
Connectome
Cross-Sectional Studies
Default Mode Network
/ diagnostic imaging
Female
Follow-Up Studies
Humans
Longitudinal Studies
Magnetic Resonance Imaging
Male
Middle Aged
Nerve Net
/ diagnostic imaging
Neuropsychological Tests
brain networks
healthy aging
multilayer modularity
network flexibility
resting-state fMRI
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
18
12
2019
revised:
12
07
2020
accepted:
19
07
2020
pubmed:
29
8
2020
medline:
15
12
2021
entrez:
29
8
2020
Statut:
ppublish
Résumé
Healthy aging is associated with changes in cognitive performance and functional brain organization. In fact, cross-sectional studies imply lower modularity and significant heterogeneity in modular architecture across older subjects. Here, we used a longitudinal dataset consisting of four occasions of resting-state-fMRI and cognitive testing (spanning 4 years) in 150 healthy older adults. We applied a graph-theoretic analysis to investigate the time-evolving modular structure of the whole-brain network, by maximizing the multilayer modularity across four time points. Global flexibility, which reflects the tendency of brain nodes to switch between modules across time, was significantly higher in healthy elderly than in a temporal null model. Further, global flexibility, as well as network-specific flexibility of the default mode, frontoparietal control, and somatomotor networks, were significantly associated with age at baseline. These results indicate that older age is related to higher variability in modular organization. The temporal metrics were not associated with simultaneous changes in processing speed or learning performance in the context of memory encoding. Finally, this approach provides global indices for longitudinal change across a given time span and it may contribute to uncovering patterns of modular variability in healthy and clinical aging populations.
Identifiants
pubmed: 32857461
doi: 10.1002/hbm.25161
pmc: PMC7643380
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4829-4845Subventions
Organisme : University Research Priority Program "Dynamics of Healthy Aging" at the University of Zurich
Organisme : Velux Stiftung
ID : 369
Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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