title: A longitudinal study of structural brain network changes with normal aging.
abstract: The aim of this study was to investigate age-related changes in the topological organization of structural brain networks by applying a longitudinal design over 6 years. Structural brain networks were derived from measurements of regional gray matter volume and were constructed in age-specific groups from baseline and follow-up scans. The structural brain networks showed economical small-world properties, providing high global and local efficiency for parallel information processing at low connection costs. In the analysis of the global network properties, the local and global efficiency of the baseline scan were significantly lower compared to the follow-up scan. Moreover, the annual rate of change in local and global efficiency showed a positive and negative quadratic correlation with the baseline age, respectively; both curvilinear correlations peaked at approximately the age of 50. In the analysis of the regional nodal properties, significant negative correlations between the annual rate of change in nodal strength and the baseline age were found in the brain regions primarily involved in the visual and motor/control systems, whereas significant positive quadratic correlations were found in the brain regions predominately associated with the default-mode, attention, and memory systems. The results of the longitudinal study are consistent with the findings of our previous cross-sectional study: the structural brain networks develop into a fast distribution from young to middle age (approximately 50 years old) and eventually became a fast localization in the old age. Our findings elucidate the network topology of structural brain networks and its longitudinal changes, thus enhancing the understanding of the underlying physiology of normal aging in the human brain.
authors.affiliation: Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University Sendai, Japan ; Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology Guangzhou, China.
authors.forename: Kai
authors.initials: K
authors.lastname: Wu
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Taki
authors.forename: Kazunori
authors.initials: K
authors.lastname: Sato
authors.forename: Haochen
authors.initials: H
authors.lastname: Qi
authors.forename: Ryuta
authors.initials: R
authors.lastname: Kawashima
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Fukuda
keywords: economical small-world; longitudinal study; normal aging; regional gray matter volume; structural brain network
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