Abstract：As life span increases worldwide, ageing population has become more of a social strain. Aging causes declining in memory, executive function, attention, motor function, vision, hearing etc. However, how brain networks differ among individuals and across brain regions remain unclear. In this paper, cortical thickness measurement was used in T1 weighted MRI (Magnetic Resonance Imaging) of 75 healthy volunteers to investigate the large-scale structural brain networks. Brain networks were constructed by thresholding cortical thickness correlation matrices of 68 regions and analyzed using graph theoretical approaches. All age groups fully preserved the small-world architecture and organization. For different age groups, the characteristics of small-world networks exhibited different patterns, and distribution of network hubs altered, suggesting a reorganization of cortical thickness correlation networks. The underlying mechanisms of changing network properties are still unclear. However, authors thought that it might be caused by neural network compensation from cognitive reserve. Study of the cortical network topology can help us to have a better understanding of the brain aging and how cognitive reserve compensates the declining cognition.
林岚，张柏雯，徐小亭，付振荣，吴水才. 大脑老化对大规模皮层网络拓扑结构的影响[J]. 中国医疗设备, 2015, 30(6): 12-17.
LIN Lan, ZHANG Bai-wen, XU Xiao-ting, FU Zhen-rong, WU Shui-cai. Influence of Brain Ageing on Topological Patterns of Large-Scale Cortical Networks. China Medical Devices, 2015, 30(6): 12-17.
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