Journal article

Changing topological patterns in normal aging using large-scale structural networks

Wanlin Zhu, Wei Wen, Yong He, Aihua Xia, Kaarin J Anstey, Perminder Sachdev



We examine normal aging from the perspective of topological patterns of structural brain networks constructed from two healthy age cohorts 20 years apart. Based on graph theory, we constructed structural brain networks using 90 cortical and subcortical regions as a set of nodes and the interregional correlations of grey matter volumes across individual brains as edges between nodes, and further analyzed the topological properties of the age-specific networks. We found that the brain structural networks of both cohorts had small-world architecture, and the older cohort (N = 374; mean age = 66.6 years, range 64-68) had lower global efficiency but higher local clustering in the brain structural..

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University of Melbourne Researchers


Awarded by Australian Research Council (ARC)

Awarded by National Health and Medical Research Council (NHMRC)

Awarded by Natural Science Foundation of China (NSFC)

Funding Acknowledgements

This research was supported by Australian Research Council (ARC DP-0774213), National Health and Medical Research Council (NHMRC Projects 157125, 179805, 366756), the Natural Science Foundation of China (NSFC 30870667), and International Research Collaboration Scheme (IRCS) of UNSW. The study was approved by the ethics committees of the Australian National University, Canberra and the University of New South Wales, Sydney, Australia. We thank the study participants, personality and total health (PATH) Interviewers, Patricia Jacomb, Karen Maxwell, Bryan Rodgers, Helen Christensen and Tony Jorm.