Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
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基于结构磁共振扫描的多变量模式分析方法对重度抑郁症的不同治疗反应进行分类
DOI：
10.1371/journal.pone.0040968
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Chen H
中科院分区：
文献类型：
--
作者：
Liu F;Guo W;Yu D;Gao Q;Gao K;Xue Z;Du H;Zhang J;Tan C;Liu Z;Zhao J;Chen H
背景：先前的研究已经发现重度抑郁症（MDD）患者的许多大脑变化，但尚未开发出用于诊断抑郁症或预测抗抑郁药反应的神经生物标志物。在本研究中，我们使用多变量模式分析（MVPA）进行分类的MDD患者与不同的治疗反应和健康对照，并探讨结构神经影像学数据的诊断和预后价值的MDD。方法/主要发现18例难治性抑郁症（TRD），17例治疗敏感性抑郁症（TSD）和17名匹配的健康对照者进行了结构MRI扫描。采用基于体素的形态测量技术，结合探照灯算法和主成分分析（PCA）的改进MVPA技术，对TRD受试者、TSD受试者和健康对照者进行分类。结果表明，MDD患者额、颞、顶、枕等脑区及小脑结构的灰质（GM）和白色质（WM）均具有较高的分类能力。GM和WM正确区分TRD和TSD的准确率均为82.9%。GM对TRD和TSD患者与健康对照组的正确区分率分别为85.7%和82.4%，WM对TRD和TSD患者与健康对照组的正确区分率分别为85.7%和91.2%。结论/意义这些结果表明，MVPA结构MRI可能是一种有用的和可靠的方法来研究神经解剖学的变化，以区分MDD患者与健康对照组和TRD患者与TSD患者。这种方法也可能有助于研究MDD患者与治疗反应相关的潜在脑区。
Background Previous studies have found numerous brain changes in patients with major depressive disorder (MDD), but no neurological biomarker has been developed to diagnose depression or to predict responses to antidepressants. In the present study, we used multivariate pattern analysis (MVPA) to classify MDD patients with different therapeutic responses and healthy controls and to explore the diagnostic and prognostic value of structural neuroimaging data of MDD. Methodology/Principal Findings Eighteen patients with treatment-resistant depression (TRD), 17 patients with treatment-sensitive depression (TSD) and 17 matched healthy controls were scanned using structural MRI. Voxel-based morphometry, together with a modified MVPA technique which combined searchlight algorithm and principal component analysis (PCA), was used to classify the subjects with TRD, those with TSD and healthy controls. The results revealed that both gray matter (GM) and white matter (WM) of frontal, temporal, parietal and occipital brain regions as well as cerebellum structures had a high classification power in patients with MDD. The accuracy of the GM and WM that correctly discriminated TRD patients from TSD patients was both 82.9%. Meanwhile, the accuracy of the GM that correctly discriminated TRD or TSD patients from healthy controls were 85.7% and 82.4%, respectively; and the WM that correctly discriminated TRD or TSD patients from healthy controls were 85.7% and 91.2%, respectively. Conclusions/Significance These results suggest that structural MRI with MVPA might be a useful and reliable method to study the neuroanatomical changes to differentiate patients with MDD from healthy controls and patients with TRD from those with TSD. This method might also be useful to study potential brain regions associated with treatment response in patients with MDD.
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10.6
作者：
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