학술논문

Age Effects on Spatiotemporal Patterns in Functional Brain Networks Over the Human Adult Lifespan
Document Type
Periodical
Source
IEEE Transactions on Computational Social Systems IEEE Trans. Comput. Soc. Syst. Computational Social Systems, IEEE Transactions on. 11(2):2570-2577 Apr, 2024
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
General Topics for Engineers
Aging
Spatiotemporal phenomena
Information processing
Stability criteria
Windows
Organizations
Functional magnetic resonance imaging
Dynamic functional connectivity (FC)
healthy aging
resting-state functional networks
spatiotemporal dynamics
temporal network-based analysis
Language
ISSN
2329-924X
2373-7476
Abstract
Growing evidence has unveiled the dynamic nature of human brain networks. However, the dynamic and hierarchical organization that supports information transmission in brain networks remains unexplored across the adult lifespan. In this study, we developed an analytical framework to investigate the spatiotemporal reorganization of dynamic brain networks during adult development and aging. Specifically, using resting-state fMRI data from the Cam-CAN lifespan dataset, we examined the age effects on the topological stability of egocentric structures and the average length of temporal paths. As the egocentric structure reflects the relationships between a node’s neighbors, we further explored whether the stability of egocentric structures mediates age effects on information diffusion. The results showed that the topological stability of egocentric structures has an impact on information processing in the spatiotemporal domain. In particular, the age-related changes observed in some functional systems followed different progressive patterns from that of other systems, which might be explained by some compensation mechanisms. Taken together, the present work may provide an additional perspective for understanding the underlying neuro-mechanisms of healthy aging.