Evaluation of Human Brain Aging Via Diffusion Structural Characteristics

被引:0
|
作者
Cai, DaXuan [1 ]
Yao, XuFeng [1 ,2 ]
Huang, Gan [1 ]
Wang, ZhiQiang [1 ]
Li, Ping [2 ]
Huang, Gang [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Med Instrument & Food Engn, Shanghai 200093, Peoples R China
[2] Shanghai Univ Hlth & Med Sci, Coll Med Imaging, Shanghai 201318, Peoples R China
来源
2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2017年
关键词
diffusion tensor imaging(DTI); brain aging; brain network; HUMAN CEREBRAL-CORTEX; ANATOMICAL NETWORKS; SMALL-WORLD; MRI; PATTERNS; MATTER;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 (L-p), clustering coefficient (C-p), global efficiency (E-global), local efficiency (E-local) were measured for the whole brain (WB) and specific cortex between the young and the old one. The results showed that E-global decreased and L-p, C-p, E-local increased with the aging. We draw a conclusion that the chosen parameters of L-p, C-p, E-global, E-local could evaluate the white matter (WM) variation correlated with the brain aging. It used as gold markers for the changes of WB structure.
引用
收藏
页码:1209 / 1213
页数:5
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