Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data
Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data
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DOI：
10.1007/s00330-017-4820-1
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发表时间：
2017-04
影响因子：
5.9
通讯作者：
Zhenchao Tang;Zhenyu Liu;Ruili Li;Xin Yang;Xingwei Cui;Shuo Wang;Dongdong Yu;Hongjun Li;
中科院分区：
文献类型：
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作者：
Zhenchao Tang;Zhenyu Liu;Ruili Li;Xin Yang;Xingwei Cui;Shuo Wang;Dongdong Yu;Hongjun Li;
目的 通过对弥散张量成像 (DTI) 数据进行多变量模式分析 (MVPA)，确定未接受抗逆转录病毒治疗 (ART) 的 HIV 患者的白质 (WM) 损伤。方法我们在本研究中纳入了 33 名未接受 ART 治疗的 HIV 患者和 32 名正常对照。首先，提取每个受试者全脑 WM 束中的 DTI 指标，并将其输入到最小绝对收缩和选择算子程序 (LASSO)-Logistic 回归模型中，以识别受损的 WM 束。然后，根据受损 WM 区域的 DTI 指标构建支持向量机（SVM）模型，以进行 HIV 对照组分类。还研究了 WM 损伤和 HIV 临床统计数据之间的 Pearson 相关性。结果在与运动功能相关的 WM 束、胼胝体 (CC) 和额叶 WM 中观察到广泛的 HIV 相关损伤。通过留一法交叉验证，SVM分类模型的准确率为83.08%（P=0.002），受试者工作特征曲线下面积为0.9110。 CC的损伤与HIV临床统计显着相关。结论MVPA对检测HIV相关的WM变化敏感。我们的研究结果表明，MVPA 在探索 HIV 相关 WM 损伤方面具有相当大的潜力。关键点•在未接受 ART 的 HIV 患者中检测到沿运动通路的 WM 损伤•在 CC 和额叶 WM 中观察到显着的 HIV 相关 WM 损伤•CC 的损伤与 HIV 临床统计显着相关•CC 可能容易受到免疫功能障碍和 HIV 复制的影响•多变量模式分析具有研究 HIV 相关白质损伤的潜力
ObjectiveTo 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) dataMethodsWe 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.ResultsExtensive 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.ConclusionThe 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