Distinct Aging Effects on Functional Networks in Good and Poor Cognitive Performers.
Brain network hubs are susceptible to normal aging processes and disruptions of their functional connectivity are detrimental to decline in cognitive functions in older adults. However, it remains unclear how the functional connectivity of network hubs cope with cognitive heterogeneity in an aging population. This study utilized cognitive and resting-state functional magnetic resonance imaging data, cluster analysis, and graph network analysis to examine age-related alterations in the network hubs' functional connectivity of good and poor cognitive performers. Our results revealed that poor cognitive performers showed age-dependent disruptions in the functional connectivity of the right insula and posterior cingulate cortex (PCC), while good cognitive performers showed age-related disruptions in the functional connectivity of the left insula and PCC. Additionally, the left PCC had age-related declines in the functional connectivity with the left medial prefrontal cortex (mPFC) and anterior cingulate cortex (ACC). Most interestingly, good cognitive performers showed age-related declines in the functional connectivity of the left insula and PCC with their right homotopic structures. These results may provide insights of neuronal correlates for understanding individual differences in aging. In particular, our study suggests prominent protection roles of the left insula and PCC and bilateral ACC in good performers.
Department of Biomedical Engineering, National University of Singapore Singapore, Singapore.
Annie
A
Lee
Department of Biomedical Engineering, National University of Singapore Singapore, Singapore.
Mingzhen
M
Tan
Department of Biomedical Engineering, National University of SingaporeSingapore, Singapore; Clinical Imaging Research Center, National University of SingaporeSingapore, Singapore; Singapore Institute for Clinical Sciences, the Agency for Science, Technology and ResearchSingapore, Singapore.
Anqi
A
Qiu
brain network hubs; central executive network; default mode network; intra-extra dimensional set shift; paired associates learning; salience network
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