Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study

Schmaal Lianne; Marquand Andre F.; Rhebergen Didi; van Tol Marie-Jose; Ruhe Henricus G.; van der Wee Nic J. A.; Veltman Dick J.; Penninx Brenda W. J. H.

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Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study

机译：使用临床和多模态神经影像学信息预测重大抑郁症的自然过程：多元模式识别研究

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BACKGROUND: A chronic course of major depressive disorder (MDD) is associated with profound alterations in brain volumes and emotional and cognitive processing. However, no neurobiological markers have been identified that prospectively predict MDD course trajectories. This study evaluated the prognostic value of different neuroimaging modalities, clinical characteristics, and their combination to classify MDD course trajectories.

机译：背景：严重抑郁症（MDD）的慢性病程与大脑容量以及情感和认知过程的深刻改变有关。但是，尚未发现可预测MDD病程轨迹的神经生物学标记。这项研究评估了不同的神经影像学方法，临床特征及其组合以对MDD过程轨迹进行分类的预后价值。

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《Biological psychiatry》 |2015年第4期|共9页
作者
Schmaal Lianne; Marquand Andre F.; Rhebergen Didi; van Tol Marie-Jose; Ruhe Henricus G.; van der Wee Nic J. A.; Veltman Dick J.; Penninx Brenda W. J. H.;
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正文语种 eng
中图分类神经病学与精神病学;
关键词
Clinical information; Course trajectory; Magnetic resonance imaging; Major depressive disorder; Prediction; Probabilistic pattern recognition analysis;

机译：临床信息;课程轨迹;磁共振成像;重度抑郁症;预测;概率模式识别分析;

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1. Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study [J] . Schmaal Lianne, Marquand Andre F., Rhebergen Didi, Biological psychiatry . 2015,第4期

机译：使用临床和多模态神经影像学信息预测重大抑郁症的自然过程：多元模式识别研究
2. MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder [J] . ShileQi, XiaoYang, LianshengZhao, Brain: A journal of neurology . 2018,第3期

机译：MicroRNA132相关的多峰神经影像模式在未描述的主要抑郁症中
3. Simultaneous rTMS and psychotherapy in major depressive disorder: Clinical outcomes and predictors from a large naturalistic study [J] . Lana Donse, Frank Padberg, Alexander T. Sack, Brain stimulation . 2018,第2期

机译：主要抑郁症的同时rtms和心理治疗：来自大型自然主义研究的临床结果和预测因子
4. Toward the Precision Medicine for a Psychiatric Disorder: Light Therapy for Major Depressive Disorder with Neuroimaging Validation [C] . Fan-pei Gloria Yang, Wei-cheng Chao, Sung-wei Chen International Conference on Biomedical and Health Informatics . 2020

机译：对精神疾病进行精密药物：对神经影像学验证的主要抑郁障碍的光疗
5. Anhedonia in Major Depressive Disorder: Exploration of a Predictive Clinical Phenotype. [D] . Rizvi, Sakina. 2015

机译：重度抑郁症中的快感缺乏症：探索性临床表型的探索。
6. Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study [O] . Lianne Schmaal, Andre F. Marquand, Didi Rhebergen, -1

机译：使用临床和多模态神经影像学信息预测重大抑郁症的自然过程：多元模式识别研究
7. Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study [O] . Schmaal, L., Marquand, A.F., Rhebergen, D., 2015

机译：使用临床和多模态神经影像学信息预测重大抑郁症的自然过程：多元模式识别研究

Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study

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