Reorganization of brain structural networks in aging: A longitudinal study
Ana Coelho1,2,3, Henrique M Fernandes4,5, Ricardo Magalhães1,2,3
1Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.
Journal of Neuroscience Research
|February 2, 2021
Summary
Aging alters brain structural connectivity (SC), with decreased intra-hemispheric connections and increased inter-hemispheric connections. This reorganization impacts brain network integration and segregation, affecting cognition.
Area of Science:
- Neuroscience
- Gerontology
- Network Science
Background:
- Normal aging involves brain changes leading to cognitive decline.
- Structural connectivity (SC) disruption may contribute to age-related cognitive deterioration.
- Previous studies often focused on average whole-brain or specific network connectivity during aging.
Purpose of the Study:
- To characterize longitudinal changes in white matter (WM) structural brain networks over time.
- To identify sub-networks with altered connectivity during aging.
- To associate longitudinal SC changes with cognitive function and network topology.
Main Methods:
- Diffusion magnetic resonance imaging (dMRI) to derive WM structural networks.
- Neurocognitive testing to assess cognitive status.
- Analysis of longitudinal changes in connectivity weight and network topology in older adults over approximately 5 years.
Main Results:
- Observed age-related changes in SC, including decreased intra-hemispheric (association fibers) and increased inter-hemispheric (association, commissural, projection fibers) connectivity.
- Identified a loss of two network hubs and decreased connector-hub connectivity, indicating reduced integration.
- Noted an increase in provincial hubs, suggesting enhanced segregation within the brain network.
Conclusions:
- Aging triggers a significant reorganization of the brain's structural network.
- These SC changes, characterized by altered integration and segregation, are linked to cognitive aging.
- Findings support the 'last-in-first-out' hypothesis regarding fiber tract involvement in aging-related network changes.
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