Altered dynamic functional connectivity in antagonistic state in first-episode, drug-naïve patients with major depressive disorder.

IF 3.4 2区 医学 Q2 PSYCHIATRY BMC Psychiatry Pub Date : 2024-12-18 DOI:10.1186/s12888-024-06356-0
Min Wang, Tao Chen, Zhongyi He, Lawrence Wing-Chi Chan, Qinger Guo, Shuyang Cai, Jingfeng Duan, Danbin Zhang, Xunda Wang, Yu Fang, Hong Yang
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Abstract

Objective: Major depressive disorder (MDD) is known to be characterized by disrupted brain functional network connectivity (FNC) patterns, while the dynamic change mode of different functional networks is unclear. This study aimed to characterize specific dynamic alterations pattern on intrinsic FNC in MDD by combining static FNC (sFNC) and dynamic FNC (dFNC).

Methods: A total of 48 first-episode drug-naïve MDD and 48 matched healthy controls (HCs) were included in this study. The sFNC and dFNC were analyzed using complete time-series and sliding window approach, respectively. Both sFNC and dFNC differences between groups were analyzed and associations between disease severity and aberrant FNC were explored.

Results: MDD patients exhibited lower sFNC within and between sensory and motor networks than HC. Four dFNC states were identified, including a globally-weakly-connected state, a cognitive-control-dominated state, a globally-positively-connected state, and an antagonistic state. The antagonistic state was marked by strong positive connections within the sensorimotor domain and their anti-correlations with the executive-motor control domain. Notably, MDD patients exhibited significantly longer dwell time in the globally-weakly-connected state, at the cost of significantly shorter dwell time in the antagonistic state. Further, only the mean dwell time of this antagonistic state was significantly anticorrelated to disease severity measures.

Conclusions: Our study highlights the altered dynamics of the antagonistic state as a fundamental aspect of disrupted FNC in early MDD.

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首次发作drug-naïve重性抑郁症患者拮抗状态下动态功能连通性改变。
目的:重度抑郁障碍(MDD)以脑功能网络连接(FNC)模式中断为特征,但不同功能网络的动态变化模式尚不清楚。本研究旨在通过静态FNC (sFNC)和动态FNC (dFNC)相结合,表征MDD患者内在FNC的特定动态变化模式。方法:本研究共纳入48例首发drug-naïve MDD患者和48例匹配的健康对照(hc)。sFNC和dFNC分别采用完全时间序列法和滑动窗口法进行分析。分析两组间sFNC和dFNC的差异,探讨疾病严重程度与异常FNC之间的关系。结果:重度抑郁症患者感觉和运动网络内及网络间的sFNC低于重度抑郁症患者。确定了四种dFNC状态,包括全球弱连接状态、认知控制主导状态、全球积极连接状态和对抗状态。拮抗状态的特征是感觉运动域内的强正相关,以及它们与执行运动控制域的反相关。值得注意的是,MDD患者在全局弱连接状态下的停留时间显着延长,而在对抗状态下的停留时间显着缩短。此外,只有这种拮抗状态的平均停留时间与疾病严重程度指标显着反相关。结论:我们的研究强调了拮抗状态的改变是早期重度抑郁症中FNC紊乱的一个基本方面。
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来源期刊
BMC Psychiatry
BMC Psychiatry 医学-精神病学
CiteScore
5.90
自引率
4.50%
发文量
716
审稿时长
3-6 weeks
期刊介绍: BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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