Gao Cuihua, Wenhua Liu, Liu Yanli, Ruan Xiuhang, Chen Xin, Liu Lingling, Yu Shaode, Chan Raymond C K, Wei Xinhua, Jiang Xinqing
Guangzhou First People's Hospital, Guangzhou Medical University Guangzhou, China.
Faculty of Health Management, Guangzhou Medical University Guangzhou, China.
Front Hum Neurosci. 2016 Dec 5;10:617. doi: 10.3389/fnhum.2016.00617. eCollection 2016.
Abnormal functional connectivity (FC) at rest has been identified in clinical depressive disorder. However, very few studies have been conducted to understand the underlying neural substrates of subclinical depression. The newly proposed centrality analysis approach has been increasingly used to explore the large-scale brain network of mental diseases. This study aimed to identify the degree centrality (DC) alteration of the brain network in subclinical depressive subjects. Thirty-seven candidates with subclinical depression and 34 well-matched healthy controls (HCs) were recruited from the same sample of college students. All subjects underwent a resting-state fMRI (rs-fMRI) scan to assess the DC of the whole brain. Compared with controls, subclinical depressive subjects displayed decreased DC in the right parahippocampal gyrus (PHG), left PHG/amygdala, and left caudate and elevated DC in the right posterior parietal lobule (PPL), left inferior frontal gyrus (IFG) and left middle frontal gyrus (MFG). In addition, by using receiver operating characteristic (ROC) analysis, we determined that the DC values in the regions with altered FC between the two groups can be used to differentiate subclinical depressive subjects from HCs. We suggest that decreased DC in subcortical and increased DC in cortical regions might be the neural substrates of subclinical depression.
临床抑郁症患者静息状态下已被发现存在异常功能连接(FC)。然而,针对亚临床抑郁症潜在神经基础的研究却非常少。新提出的中心性分析方法越来越多地用于探索精神疾病的大规模脑网络。本研究旨在确定亚临床抑郁受试者脑网络的度中心性(DC)改变。从同一大学生样本中招募了37名亚临床抑郁症候选者和34名匹配良好的健康对照(HC)。所有受试者均接受静息态功能磁共振成像(rs-fMRI)扫描以评估全脑的DC。与对照组相比,亚临床抑郁受试者右侧海马旁回(PHG)、左侧PHG/杏仁核和左侧尾状核的DC降低,右侧顶叶后小叶(PPL)、左侧额下回(IFG)和左侧额中回(MFG)的DC升高。此外,通过使用受试者工作特征(ROC)分析,我们确定两组间FC改变区域的DC值可用于区分亚临床抑郁受试者和HC。我们认为,皮质下DC降低和皮质区域DC升高可能是亚临床抑郁症的神经基础。