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A multivariate pattern analysis study of the HIV-related white matter anatomical structural connections alterations
Tang Zhenchao; Liu ZY(刘振宇); Tian Jie
2017-02
会议名称SPIE Medical Imaging
会议录名称SPIE Medical Imaging
会议日期11 - 16 February 2017
会议地点Orlando, Florida, United States
摘要It’s widely known that HIV infection would cause white matter integrity impairments. Nevertheless, it is still unclear that how the white matter anatomical structural connections are affected by HIV infection. In the current study, we employed a multivariate pattern analysis to explore the HIV-related white matter connections alterations. Forty antiretroviral-therapy-naïve HIV patients and thirty healthy controls were enrolled. Firstly, an Automatic Anatomical Label (AAL) atlas based white matter structural network, a 90 × 90 FA-weighted matrix, was constructed for each subject. Then, the white matter connections deprived from the structural network were entered into a lasso-logistic regression model to perform HIV-control group classification. Using leave one out cross validation, a classification accuracy (ACC) of 90% (P=0.002) and areas under the receiver operating characteristic curve (AUC) of 0.96 was obtained in the classification model. This result indicated that the white matter anatomical structural connections contributed greatly to HIV-control group classification, providing solid evidence that the white matter connections were affected by HIV infection. Specially, 11 white matter structural connections were selected in the classification model, mainly crossing the regions of frontal lobe, Cingulum, Hippocampus, and Thalamus, which were repeatedly reported damaged in previous HIV study. This might suggested that the white matter connections adjacent to the HIV-related impaired regions were prone to be damaged.
关键词Human Immunodeficiency Virus
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12110
专题中国科学院分子影像重点实验室
通讯作者Tian Jie
推荐引用方式
GB/T 7714
Tang Zhenchao,Liu ZY,Tian Jie. A multivariate pattern analysis study of the HIV-related white matter anatomical structural connections alterations[C],2017.
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