Diffusion Entropy: A Potential Neuroimaging Biomarker of Bipolar Disorder in the Temporal Pole.
Diffusion Entropy: A Potential Neuroimaging Biomarker of Bipolar Disorder in the Temporal Pole.
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DOI：
10.1002/syn.22015
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发表时间：
2018-03
期刊：
影响因子：
--
通讯作者：
Huang C
中科院分区：
文献类型：
--
作者：
Spuhler K;Bartlett E;Ding J;DeLorenzo C;Parsey R;Huang C
尽管进行了大量研究，但人们对双相抑郁症的了解仍然知之甚少，没有临床上有用的生物标志物用于诊断。旁边缘系统已成为生物标志物研究的目标，尽管基于体素的研究结果不一致，但在基于纤维束成像的扩散 MRI 研究中，旁边缘结构连接通常被报道可将双相情感障碍患者与对照组区分开来。本分析的目的是用传统扩散 MRI 指标验证现有研究结果，并研究新型扩散 MRI 指标（扩散熵）在寻找双相抑郁症生物标志物中的效用。我们对 9 名未接受药物治疗（6 名未接受药物治疗；3 名至少 33 天未接受药物治疗）的重度抑郁发作双相情感障碍患者和 9 名匹配的健康对照者进行了组级分析，以比较：（1）平均扩散率（MD）和分数各向异性（FA）； (2) MD 和 FA 直方图熵——杏仁核、海马、眶额皮层和颞极分布均匀性的统计测量。我们还使用留一法和单独的测试数据集 (N=11) 方法进行分类分析。我们没有观察到任何地区各组之间的平均 MD 或 FA 存在统计学上的显着差异。然而，在颞极，我们观察到双相情感障碍患者的 MD 熵显着降低。这一发现表明，在没有平均差异的情况下，MD 分布存在区域差异。该指标使我们能够在留一分析（准确度 = 83%）和预测分析（准确度 = 73%）中准确地描述双相情感障碍患者与对照组的特征。扩散 MRI 的这种新颖应用不仅在双相情感障碍患者和健康对照之间进行了有趣的区分，而且还准确地将双相情感障碍患者与对照进行了分类。
Despite much research, bipolar depression remains poorly understood, with no clinically useful biomarkers for its diagnosis. The paralimbic system has become a target for biomarker research, with paralimbic structural connectivity commonly reported to distinguish bipolar patients from controls in tractography-based diffusion MRI studies, despite inconsistent findings in voxel-based studies. The purpose of this analysis was to validate existing findings with traditional diffusion MRI metrics and investigate the utility of a novel diffusion MRI metric, entropy of diffusion, in the search for bipolar depression biomarkers. We performed group-level analysis on 9 un-medicated (6 medication-naïve; 3 medication-free for at least 33 days) bipolar patients in a major depressive episode and 9 matched healthy controls to compare: (1) average mean diffusivity (MD) and fractional anisotropy (FA) and; (2) MD and FA histogram entropy—a statistical measure of distribution homogeneity—in the amygdala, hippocampus, orbitofrontal cortex and temporal pole. We also conducted classification analyses with leave-one-out and separate testing dataset (N=11) approaches. We did not observe statistically significant differences in average MD or FA between the groups in any region. However, in the temporal pole, we observed significantly lower MD entropy in bipolar patients; this finding suggests a regional difference in MD distributions in the absence of an average difference. This metric allowed us to accurately characterize bipolar patients from controls in leave-one-out (accuracy=83%) and prediction (accuracy=73%) analyses. This novel application of diffusion MRI yielded not only an interesting separation between bipolar patients and healthy controls, but also accurately classified bipolar patients from controls.
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影响因子：
4.8
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Iscan Z;Jin TB;Kendrick A;Szeglin B;Lu H;Trivedi M;Fava M;McGrath PJ;Weissman M;Kurian BT;Adams P;Weyandt S;Toups M;Carmody T;McInnis M;Cusin C;Cooper C;Oquendo MA;Parsey RV;DeLorenzo C
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