通过扩散结构特征评价人脑老化

Daxuan Cai, Xufeng Yao, G. Huang, Zhiqiang Wang, Ping Li, Gang Huang
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引用次数: 0

摘要

弥散张量成像(Diffusion tensor imaging, DTI)是一种新的成像技术,可用于评估脑白质微结构在衰老过程中的变化。对全脑(WB)和特定皮层的神经网络特征路径长度(Lp)、聚类系数(Cp)、全局效率(egglobal)、局部效率(local)四种网络特性进行了测量。结果表明,随着年龄的增长,egglobal降低,Lp、Cp、local升高。结果表明,选择的Lp、Cp、egglobal、local参数可以评价脑白质(WM)与衰老相关的变化。作为WB结构变化的金标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of human brain aging via diffusion structural characteristics
Diffusion tensor imaging (DTI) is a novel imaging technique, which can evaluate the variation of white matter micro-structure in brain aging. Four network properties of characteristic path length (Lp), clustering coefficient (Cp), global efficiency (Eglobal), local efficiency (Elocal) were measured for the whole brain (WB) and specific cortex between the young and the old one. The results showed that Eglobal decreased and Lp, Cp, Elocal increased with the aging. We draw a conclusion that the chosen parameters of Lp, Cp, Eglobal, Elocal could evaluate the white matter (WM) variation correlated with the brain aging. It used as gold markers for the changes of WB structure.
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