Abnormal dynamic functional network connectivity in first-episode, drug-naïve patients with major depressive disorder

重性抑郁障碍 接收机工作特性 萧条(经济学) 动态功能连接 心理学 生物标志物 评定量表 毒品天真 内科学 静息状态功能磁共振成像 医学 神经科学 药品 精神科 心情 发展心理学 生物 宏观经济学 经济 生物化学
作者
Weiliang Yang,Yuting Wang,Wen Qin,Meijuan Li,Huan Mao,Chi Zhou,Xueying Liu,Jie Li
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:319: 336-343 被引量:5
标识
DOI:10.1016/j.jad.2022.08.072
摘要

Dynamic functional network connectivity (dFNC) could capture temporal features of spontaneous brain activity during MRI scanning, and it might be a powerful tool to examine functional brain network alters in major depressive disorder (MDD). Therefore, this study investigated the changes in temporal properties of dFNC of first-episode, drug-naïve patients with MDD. A total of 48 first-episode, drug-naïve MDD patients and 46 age- and gender-matched healthy controls were recruited in this study. Sliding windows were implied to construct dFNC. We assessed the relationships between altered dFNC temporal properties and depressive symptoms. Receiver operating characteristic (ROC) curve analyses were used to examine the diagnostic performance of these altered temporal properties. The results showed that patients with MDD have more occurrences and spent more time in a weak connection state, but with fewer occurrences and shorter dwell time in a strong connection state. Importantly, the fractional time and mean dwell time of state 2 was negatively correlated with Hamilton Depression Rating Scale (HDRS) scores. ROC curve analysis demonstrated that these temporal properties have great identified power including the fractional time and mean dwell time in state 2, and the AUC is 0.872, 0.837, respectively. The AUC of the combination of fractional time and mean dwell time in state 2 with age, gender is 0.881. Our results indicated the temporal properties of dFNC are altered in first-episode, drug-naïve patients with MDD, and these changes' properties could serve as a potential biomarker in MDD.
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