CASIA OpenIR  > 中国科学院分子影像重点实验室
Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data
Liu ZY(刘振宇)
Source PublicationEuropean Radiology
2017-10
Issue27Pages:4153–4162
Abstract

Objective

To identify the white matter (WM) impairments of the antiretroviral therapy (ART)-naïve HIV patients by conducting a multivariate pattern analysis (MVPA) of Diffusion Tensor Imaging (DTI) data

Methods

We enrolled 33 ART-naïve HIV patients and 32 Normal controls in the current study. Firstly, the DTI metrics in whole brain WM tracts were extracted for each subject and feed into the Least Absolute Shrinkage and Selection Operators procedure (LASSO)-Logistic regression model to identify the impaired WM tracts. Then, Support Vector Machines (SVM) model was constructed based on the DTI metrics in the impaired WM tracts to make HIV-control group classification. Pearson correlations between the WM impairments and HIV clinical statics were also investigated.

Results

Extensive HIV-related impairments were observed in the WM tracts associated with motor function, the corpus callosum (CC) and the frontal WM. With leave-one-out cross validation, accuracy of 83.08% (P=0.002) and the area under the Receiver Operating Characteristic curve of 0.9110 were obtained in the SVM classification model. The impairments of the CC were significantly correlated with the HIV clinic statics.

Conclusion

The MVPA was sensitive to detect the HIV-related WM changes. Our findings indicated that the MVPA had considerable potential in exploring the HIV-related WM impairments.


KeywordDti
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20346
Collection中国科学院分子影像重点实验室
Recommended Citation
GB/T 7714
Liu ZY. Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data[J]. European Radiology,2017(27):4153–4162.
APA Liu ZY.(2017).Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data.European Radiology(27),4153–4162.
MLA Liu ZY."Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data".European Radiology .27(2017):4153–4162.
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