Neural effects of childhood maltreatment on dynamic large-scale brain networks in major depressive disorder
Neural effects of childhood maltreatment on dynamic large-scale brain networks in major depressive disorder
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童年虐待对重度抑郁症动态大规模大脑网络的神经影响
DOI：
10.1016/j.psychres.2022.114870
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发表时间：
2022-09
影响因子：
11.3
通讯作者：
Chunming Xie
中科院分区：
文献类型：
--
作者：
Qing Wang;Canan He;D;an Fan;Xinyi Liu;Haisan Zhang;Hongxing Zhang;Zhijun Zhang;Chunming Xie
新的证据表明，儿童虐待（CM）改变大脑发育轨迹，影响网络结构，是抑郁症发展和维持的一个危险因素。本研究旨在探讨重度抑郁障碍（MDD）患者CM与抑郁严重程度在大尺度静息状态网络（large scale resting-state networks, RSNs）水平上的关系，探索临床症状的网络基础。研究人群包括42名未受儿童虐待的健康对照，13名患有CM的健康对照，35名无CM的MDD和50名患有CM的MDD。对10个大规模rsn的组间差异、CM与抑郁症状维度及网络变量的相关性进行检验。我们还探讨了症状相关网络是否会在四组之间有所区别。我们发现人与人之间的关系网络呈倒u型曲线。网络变量与汉密尔顿抑郁量表亚分和儿童创伤问卷亚分显著相关。不同症状表现出不同的影像学模式，模式的重叠连接具有较好的分类能力。我们的研究结果表明，CM可能导致健康个体和重度抑郁症的网络测量和连接发生重大变化。这些结果加深了我们对CM和MDD的神经影像学机制的理解。
Emerging evidence suggests that childhood maltreatment (CM) alters trajectories of brain development to affect network architecture and is a risk factor for the development and maintenance of depression. The current study aimed to explore the association between CM and depressive severity on the large-scale resting-state networks (RSNs) level in major depressive disorder (MDD) patients and explored the network basis of clinical symptoms. 42 healthy controls without childhood maltreatment, 13 healthy controls with CM, 35 MDD without CM and 50 MDD with CM were included in the study population. Group differences in ten large-scale RSNs, associations between CM and depressive symptom dimensions and network variables were tested. And we explored whether symptom-related networks might discriminate between the four groups. We found one-versus-all-others-network showed an inverted U-shaped curve across groups. Network variables were significantly associated with Hamilton Depression Scale subscores and Childhood Trauma Questionnaire subscores. Different symptoms showed different imaging patterns, and overlapping connections of patterns had better ability to distinguish groups. Our findings suggest that CM could lead to significant changes in both network measures and connections in healthy individuals and MDD. These results deepen our understanding of the neuroimaging mechanisms of CM and MDD.
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影响因子：
5.7
作者：
Pereira F;Mitchell T;Botvinick M
通讯作者：
Botvinick M
影响因子：
4.3
作者：
Gong L;Shi M;Wang J;Xu R;Yu S;Liu D;Ding X;Zhang B;Zhang X;Xi C
通讯作者：
Xi C
影响因子：
17.7
作者：
Nanni, Valentina;Uher, Rudolf;Danese, Andrea
通讯作者：
Danese, Andrea
DOI：
10.1097/00004583-199703000-00012
发表时间：
1997-03-01
影响因子：
13.3
作者：
Bernstein, DP;Ahluvalia, T;Handelsman, L
通讯作者：
Handelsman, L
影响因子：
4.8
作者：
Goya-Maldonado, Roberto;Brodmann, Katja;Gruber, Oliver
通讯作者：
Gruber, Oliver