Age-Related Decline in the Topological Efficiency of the Brain Structural Connectome and Cognitive Aging. (26th March 2020)

• Record Type: Journal Article
• Authors: Li, Xin; Wang, Yezhou; Wang, Wenxiao; Huang, Weijie; Chen, Kewei; Xu, Kai; Zhang, Junying; Chen, Yaojing; Li, He; Wei, Dongfeng; Shu, Ni; Zhang, Zhanjun
• Is Part Of: Cerebral cortex. Volume 30:Number 8(2020)
• Page Start: 4651
• Page End: 4661
• Publication Date: 2020-03-26
• Subjects: brain connectome -- cognitive ageing -- diffusion MRI -- graph theory -- individual prediction; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhaa066
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: Brain disconnection model has been proposed as a possible neural mechanism for cognitive aging. However, the relationship between structural connectivity degeneration and cognitive decline with normal aging remains unclear. In the present study, using diffusion MRI and tractography techniques, we report graph theory-based analyses of the brain structural connectome in a cross-sectional, community-based cohort of 633 cognitively healthy elderly individuals. Comprehensive neuropsychological assessment of the elderly subjects was performed. The association between age, brain structural connectome, and cognition across elderly individuals was examined. We found that the topological efficiency, modularity, and hub integration of the brain structural connectome exhibited a significant decline with normal aging, especially in the frontal, parietal, and superior temporal regions. Importantly, network efficiency was positively correlated with attention and executive function in elderly subjects and had a significant mediation effect on the age-related decline in these cognitive functions. Moreover, nodal efficiency of the brain structural connectome showed good performance for the prediction of attention and executive function in elderly individuals. Together, our findings revealed topological alterations of the brain structural connectome with normal aging, which provides possible structural substrates underlying cognitive aging and sensitive imaging markers for the individual prediction of cognitive functions in elderly subjects.