Dynamic brain network evolution in normal aging based on computational experiments

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• 作者：Xi Chen^a ; ^bAuthor Vitae ; Miao Wang^a ; ^cAuthor Vitae ; Jiping He^a ; ^b ; ^dAuthor Vitae ; Wei Li^a ; ^b ; ^{liwei0828@mail.hust.edu.cn}Author Vitae
• 关键词：Normal aging ; Resting-state fMRI ; Functional brain network ; Evolution ; Simulation
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：5 January 2017
• 年：2017
• 卷：219
• 期：Complete
• 页码：483-493
• 全文大小：1608 K
• 卷排序：219

文摘

Computational modeling was used to simulate aging of the functional brain network. Topological properties of young, middle-aged, and old brain networks were studied. Our data-driven model simulated the continuous evolution process of network aging. Our model accurately emulated the changes that occur in real networks with age. This is the first model of functional brain network aging on a large time scale.