Luo Qianyi, Chen Juran, Li Yuhong, Wu Zhiyao, Lin Xinyi, Yao Jiazheng, Yu Huiwen, Wu Huawang, Peng Hongjun
Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, No.36, Mingxin Road, Liwan District, Guangzhou, 510370, China.
Department of Radiology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China.
Brain Imaging Behav. 2022 Oct;16(5):2021-2036. doi: 10.1007/s11682-022-00672-3. Epub 2022 Jul 29.
Although childhood maltreatment confers a high risk for the development of major depressive disorder, the neurobiological mechanisms underlying this connection remain unknown. The present study sought to identify the specific resting-state networks associated with childhood maltreatment. We recruited major depressive disorder patients with and without a history of childhood maltreatment (n = 31 and n = 30, respectively) and healthy subjects (n = 80). We used independent component analysis to compute inter- and intra- network connectivity. We found that individuals with major depressive disorder and childhood maltreatment could be characterized by the following network disconnectivity model relative to healthy subjects: (i) decreased intra-network connectivity in the left frontoparietal network and increased intra-network connectivity in the right frontoparietal network, (ii) decreased inter-network connectivity in the posterior default mode network-auditory network, posterior default mode network-limbic system, posterior default mode network-anterior default mode network, auditory network-medial visual network, lateral visual network - medial visual network, medial visual network-sensorimotor network, medial visual network - anterior default mode network, occipital pole visual network-dorsal attention network, and posterior default mode network-anterior default mode network, and (iii) increased inter-network connectivity in the sensorimotor network-ventral attention network, and dorsal attention network-ventral attention network. Moreover, we found significant correlations between the severity of childhood maltreatment and the intra-network connectivity of the frontoparietal network. Our study demonstrated that childhood maltreatment is integrally associated with aberrant network architecture in patients with major depressive disorder.
尽管童年期受虐会使患重度抑郁症的风险大幅增加，但这种关联背后的神经生物学机制仍不清楚。本研究旨在确定与童年期受虐相关的特定静息态网络。我们招募了有和没有童年期受虐史的重度抑郁症患者（分别为n = 31和n = 30）以及健康受试者（n = 80）。我们使用独立成分分析来计算网络间和网络内的连通性。我们发现，相对于健康受试者，患有重度抑郁症且有童年期受虐经历的个体可通过以下网络断开连接模型来表征：(i) 左额顶叶网络内连通性降低，右额顶叶网络内连通性增加；(ii) 后默认模式网络-听觉网络、后默认模式网络-边缘系统、后默认模式网络-前默认模式网络、听觉网络-内侧视觉网络、外侧视觉网络-内侧视觉网络、内侧视觉网络-感觉运动网络、内侧视觉网络-前默认模式网络、枕极视觉网络-背侧注意网络以及后默认模式网络-前默认模式网络之间的网络间连通性降低；(iii) 感觉运动网络-腹侧注意网络以及背侧注意网络-腹侧注意网络之间的网络间连通性增加。此外，我们发现童年期受虐的严重程度与额顶叶网络的网络内连通性之间存在显著相关性。我们的研究表明，童年期受虐与重度抑郁症患者异常的网络结构密切相关。
