Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data.
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. Firs...
| Publicado en: | European Radiology Vol. 27; no. 10; pp. 4153 - 4163 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124912448&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124912448 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Oct2017 vid: 27 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124912448 124912448 143956838 NLM28396994 10.1007/s00330-017-4820-1 NLM28396994 124912448 ppf: 4153 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data. aug: au: Tang, Zhenchao Liu, Zhenyu Li, Ruili Yang, Xin Cui, Xingwei Wang, Shuo Yu, Dongdong Li, Hongjun Dong, Enqing Tian, Jie affil: CAS Key Laboratory of Molecular Imaging , Institute of Automation , Beijing 100190 China sug: subj: HIV Infections Brain Male Magnetic Resonance Imaging Methods Frontal Lobe HIV Infections Complications Female Telencephalon Neural Pathways Adult Multivariate Analysis Antiretroviral Therapy, Highly Active Case Control Studies HIV Infections Drug Therapy Scales Adult: 19-44 years Male Female ab: 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.Key Points: • 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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