Functional connectivity of the hippocampus in predicting early antidepressant efficacy in patients with major depressive disorder

重性抑郁障碍 依西酞普兰 海马体 抗抑郁药 接收机工作特性 楔前 萧条(经济学) 海马结构 心理学 内科学 磁共振成像 功能磁共振成像 医学 精神科 神经科学 心情 放射科 宏观经济学 经济
作者
Hongqi Xiao,Minlan Yuan,Hailong Li,Shiyi Li,Yang Du,Mei Wang,Hongru Zhu,Wei Zhang,Changjian Qiu,Xiaoqi Huang
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:291: 315-321 被引量:20
标识
DOI:10.1016/j.jad.2021.05.013
摘要

The hippocampus is involved in the pathophysiology of major depressive disorder (MDD), and its structure and function have been reported to be related to the antidepressant response. This study aimed to identify relationships between hippocampal functional connectivity (FC) and early improvement in patients with MDD and to further explore the ability of hippocampal FC to predict early efficacy. Thirty-six patients with nonpsychotic MDD were recruited and underwent resting-state functional magnetic resonance imaging scans at baseline. After two weeks of treatment with escitalopram, patients were divided into subgroups with early improved depression (EID, n= 19) and nonimproved depression (NID, n=17) . A voxelwise FC analysis was performed with the bilateral hippocampus as seeds, two-sample t-tests were used to compare hippocampal FC between groups. Receiver operating characteristic (ROC) curves were constructed to determine the best FC measures and optimal threshold for differentiating EID from END. The EID group showed significantly higher FC between the left hippocampus and left inferior frontal gyrus and precuneus than the END group. And the left hippocampal FC of these two regions were positively correlated with the reduction ratio of the depressive symptom scores. The ROC curve analysis revealed that summed FC scores for these two regions exhibited the highest area under the curve, with a sensitivity of 0.947 and specificity of 0.882 at a summed score of 0.14. The sample used in this study was relatively small. These findings demonstrated that FC of the left hippocampus can predict early efficacy of antidepressant.

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