Age-Associated Differences of Modules and Hubs in Brain Functional Networks
Yinghui Zhang1,2, Yin Wang1, Nan Chen1
1Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China.
Frontiers in Aging Neuroscience
|February 4, 2021
Summary
Brain network connectivity decreases with age, impacting cognitive function. This study reveals age-related shifts in brain modules and hubs, offering insights into normal brain aging.
Area of Science:
- Neuroscience
- Cognitive Science
- Network Science
Background:
- Healthy aging is linked to changes in brain functional organization, potentially affecting cognition.
- The precise relationship between age-related brain network alterations and cognitive decline is still debated.
Purpose of the Study:
- To investigate age-associated differences in brain functional modules and hubs across adulthood.
- To explore how these network changes relate to cognitive function and brain communication efficiency.
Main Methods:
- Utilized resting-state functional magnetic resonance imaging (fMRI) data from a large cross-sectional adult sample.
- Constructed individual and group-level brain networks, detecting functional modules and hubs.
- Analyzed intra- and inter-modular connectivities and topological roles of hubs across young, middle-aged, and old groups.
Main Results:
- Intra- and inter-modular connectivities showed a negative correlation with age.
- Connector hubs were more prevalent in younger adults, while provincial hubs were more common in middle-aged adults.
- Distinct age-associated trajectories for hub connections suggest topological role transitions in brain networks.
Conclusions:
- Functional segregation and integration in the brain are inversely associated with age, indicating reduced communication efficiency.
- These findings provide a novel perspective on the normal aging process of brain networks and their functional implications.
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