Abnormal dynamic functional connectivity in first‐episode, drug‐naïve adolescents with major depressive disorder

重性抑郁障碍 默认模式网络 动态功能连接 功能磁共振成像 萧条(经济学) 神经影像学 静息状态功能磁共振成像 心理学 毒品天真 评定量表 神经科学 内科学 精神科 医学 药品 发展心理学 心情 宏观经济学 经济
作者
Ruiping Zheng,Yuan Chen,Yu Jiang,Bingqian Zhou,Shuying Li,Yarui Wei,Caihong Wang,Shaoqiang Han,Yong Zhang,Jingliang Cheng
出处
期刊:Journal of Neuroscience Research [Wiley]
卷期号:100 (7): 1463-1475 被引量:12
标识
DOI:10.1002/jnr.25047
摘要

Abstract Previous neuroimaging studies have identified disrupted large‐scale functional brain networks in major depressive disorder (MDD); however, most of them focused on adult patients and were based on static functional connectivity (FC). Thus, we aimed to investigate the patterns of change in dynamic FC in depressed adolescents. Resting‐state functional magnetic resonance imaging data were acquired from 60 first‐episode, drug‐naïve adolescents with MDD and 60 matched healthy controls (HCs). Then, the dynamic FC properties were analyzed using a sliding windows approach, k ‐means clustering, and graph theory methods. The intrinsic brain FC were clustered into two configuration states—a more frequent and relatively sparsely connected State 1 and a less frequent and more strongly interconnected State 2. Compared with HCs, depressed adolescents had higher reoccurrence fraction and dwell time in State 1, and lower reoccurrence fraction and dwell time in State 2, and higher total number of transitions between the two states. Depressed adolescents showed decreased FC within the default mode network (DMN) and between the DMN and other networks in State 1. Additionally, the MDD group showed higher variances in the global and local efficiency. Furthermore, the duration of illness was positively correlated with the number of state transitions, and the 17‐item Hamilton Depression Rating Scale score was positively correlated with the mean dwell time in State 1. This study demonstrated abnormal dynamic FC in depressed adolescents, which provided new insights into the pathophysiological mechanisms of adolescent‐onset depression.
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