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Evaluation of Fiber Tracts for Brain Aging via Diffusion Tensor Imaging Tract Analyses: A Pliot Study 期刊论文

编号：

89907961-7fb2-41d2-8b47-6f3c5b3fc10b
作者：

Yao, Xufeng(姚旭峰)#*^[1]Fan, Yifeng^[2];Huang, Gan^[1,5];Yu, Tonggang^[3];Huang, Gang(黄钢)^[1]Zhuang, Songlin(庄松林)^[4]
语种：

英文
期刊：

JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS ISSN：2156-7018 2018 年 8 卷 1 期 (105 - 109) ; JAN
收录：
关键词：

Diffusion Tensor Imaging White Matter Fiber Tract Tract Characteristics Brain Aging
摘要：

Tract characteristics provide valuable information for the evaluation of white matter development in human brain. In the current study, we investigated the geometric and diffusion tract characteristics between two young and elder groups. The tract characteristics of number of fibers (NF), averaged length (AL), fractional anisotropy (FA), relative anisotropy (RA), apparent diffusion coefficient (ADC), linear tensor (C-l), number of voxels (NV) and volume ratio (VR) were measured on the three fiber tracts of corpus callosum (CC), corticospinal tract (CST), whole brain tract (WBT), and the statistical analyses of t-tests were conducted. With the brain aging, it is found that NF, AL, FA, RA, C-l, NV decreased (P < 0.05), VR almost unchanged (P > 0.05) and the ADC increased with aging (P < 0.05). In conclusion, the measurement of tract characteristics provides quantitative indices for WM tracts and it can be used as reference markers to the studies of brain aging.
推荐引用方式
GB/T 7714：

Yao Xufeng,Fan Yifeng,Huang Gan, et al. Evaluation of Fiber Tracts for Brain Aging via Diffusion Tensor Imaging Tract Analyses: A Pliot Study [J].JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,2018,8(1):105-109.
APA：

Yao Xufeng,Fan Yifeng,Huang Gan,Yu Tonggang,&Zhuang Songlin.(2018).Evaluation of Fiber Tracts for Brain Aging via Diffusion Tensor Imaging Tract Analyses: A Pliot Study .JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,8(1):105-109.
MLA：

Yao Xufeng, et al. "Evaluation of Fiber Tracts for Brain Aging via Diffusion Tensor Imaging Tract Analyses: A Pliot Study" .JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS 8,1(2018):105-109.

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