title: Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data.
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.
  
  
  CONCLUSIONS
  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.
  
  
  CONCLUSIONS
  • WM impairments along motor pathway were detected among the ART-naïve HIV patients • Prominent HIV-related WM impairments were observed in CC and frontal WM • The impairments of CC were significantly related to the HIV clinic statics • The CC might be susceptible to immune dysfunction and HIV replication • Multivariate pattern analysis had potential for studying the HIV-related white matter impairments.
authors.affiliation: School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Shandong Province, 264209, China.|CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
authors.forename: Zhenchao
authors.initials: Z
authors.lastname: Tang
authors.affiliation: CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Liu
authors.affiliation: Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, 100069, China.
authors.forename: Ruili
authors.initials: R
authors.lastname: Li
authors.affiliation: CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Yang
authors.affiliation: Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China, 450052.
authors.forename: Xingwei
authors.initials: X
authors.lastname: Cui
authors.affiliation: CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
authors.forename: Shuo
authors.initials: S
authors.lastname: Wang
authors.affiliation: CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
authors.forename: Dongdong
authors.initials: D
authors.lastname: Yu
authors.affiliation: Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, 100069, China. lihongjun00113@126.com.
authors.forename: Hongjun
authors.initials: H
authors.lastname: Li
authors.affiliation: School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Shandong Province, 264209, China. enqdong@sdu.edu.cn.
authors.forename: Enqing
authors.initials: E
authors.lastname: Dong
authors.affiliation: CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China. jie.tian@ia.ac.cn.|University of Chinese Academy of Sciences, Beijing, 100049, China. jie.tian@ia.ac.cn.
authors.forename: Jie
authors.initials: J
authors.lastname: Tian
mesh_terms: D000328:Adult; D023241:Antiretroviral Therapy, Highly Active; D001921:Brain / Q000000981:diagnostic imaging*; D016022:Case-Control Studies; D003337:Corpus Callosum; D056324:Diffusion Tensor Imaging / Q000379:methods; D004525:Efferent Pathways / Q000000981:diagnostic imaging; D005260:Female; D005625:Frontal Lobe / Q000000981:diagnostic imaging; D015658:HIV Infections / Q000150:complications / Q000000981:diagnostic imaging* / Q000188:drug therapy; D006801:Humans; D008297:Male; D015999:Multivariate Analysis; D066127:White Matter / Q000000981:diagnostic imaging*
keywords: Corpus Callosum; Diffusion tensor Imaging; HIV; Multivariate Analysis; White Matter