Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies.
Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies.
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儿童和青少年抑郁症发病和病程的神经影像学预测因素：纵向研究的系统回顾。
DOI：
10.1016/j.dcn.2019.100700
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发表时间：
2019
影响因子：
4.7
通讯作者：
Schmaal,Lianne
中科院分区：
文献类型：
--
作者：
Toenders,YaraJ;vanVelzen,LauraS;Heideman,IvonneZ;Harrison,BenJ;Davey,ChristopherG;Schmaal,Lianne
重度抑郁症（MDD）通常出现在青春期，对发育和终身后果产生不利影响。识别与儿童和青少年期这种疾病的发作或病程相关的神经生物学标志物对于早期识别和干预以及潜在地预防疾病发作非常重要。在这项系统性综述中，对来自34个独特样本的68项纵向神经影像学研究进行了检查，这些研究检查了截至2019年2月1日发表的神经影像学标志物与儿童抑郁症发作或变化的相关性。这些研究在基线时采用了不同的成像方式;结构磁共振成像（MRI）、扩散张量成像（DTI）、功能磁共振成像（fMRI）或脑电图（EEG）。研究中发现，大多数一致的证据表明，钝性奖励相关（纹状体）活动（fMRI和EEG）是MDD发作和病程的潜在生物学标志物。关于大脑结构的测量，结果是高度不一致的，可能是由于在小样本量中检测遗传和环境因素的复杂介导效应的能力不足。总体而言，样本数量有限，并且通常不考虑性别和青春期发育等混杂因素，而这些因素可能相关，尤其是在该年龄范围内。
Major depressive disorder (MDD) often emerges during adolescence with detrimental effects on development as well as lifetime consequences. Identifying neurobiological markers that are associated with the onset or course of this disorder in childhood and adolescence is important for early recognition and intervention and, potentially, for the prevention of illness onset. In this systematic review, 68 longitudinal neuroimaging studies, from 34 unique samples, that examined the association of neuroimaging markers with onset or changes in paediatric depression published up to 1 February 2019 were examined. These studies employed different imaging modalities at baseline; structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI) or electroencephalography (EEG). Most consistent evidence across studies was found for blunted reward-related (striatal) activity (fMRI and EEG) as a potential biological marker for both MDD onset and course. With regard to structural brain measures, the results were highly inconsistent, likely caused by insufficient power to detect complex mediating effects of genetic and environmental factors in small sample sizes. Overall, there were a limited number of samples, and confounding factors such as sex and pubertal development were often not considered, whereas these factors are likely to be relevant especially in this age range.