Aberrant resting-state co-activation network dynamics in major depressive disorder

作者：Ziqi An, Kai Tang, Yuanyao Xie, Chuanjun Tong, Jiaming Liu, Tao Quan, Chao‐Gan Yan, Xiao Chen, Liping Cao, Wei Chen, Yuqi Cheng, Yiru Fang, Qiyong Gong, Wenbin Guo, Li Kuang, Baojuan Li, Tao Li, Yan‐Song Liu, Zhening Liu, Jian‐Ping Lu, Qinghua Luo, Huaqing Meng, Daihui Peng, Jiang Qiu, Yuedi Shen, Tianmei Si, Yanqing Tang, Chuanyue Wang, Fei Wang, Huaning Wang, Kai Wang, Xiang Wang, Ying Wang, Xiaoping Wu, Chunming Xie, Guangrong Xie, Peng Xie, Xiufeng Xu, Hong Yang, Jian Yang, Shuqiao Yao, Yongqiang Yu, Yonggui Yuan, Kerang Zhang, Wei Zhang, Zhijun Zhang, Jun‐Juan Zhu, Xi‐Nian Zuo, Jingping Zhao, Yu‐Feng Zang, Yanqiu Feng · 发表于：Translational Psychiatry · 年份：2024 · DOI：10.1038/s41398-023-02722-w · 被引用次数：68 · 研究领域：Functional Brain Connectivity Studies、Neural dynamics and brain function、Mental Health Research Topics

Major depressive disorder (MDD) is a globally prevalent and highly disabling disease characterized by dysfunction of large-scale brain networks. Previous studies have found that static functional connectivity is not sufficient to reflect the complicated and time-varying properties of the brain. The underlying dynamic interactions between brain functional networks of MDD remain largely unknown, and it is also unclear whether neuroimaging-based dynamic properties are sufficiently robust to discriminate individuals with MDD from healthy controls since the diagnosis of MDD mainly depends on symptom-based criteria evaluated by clinical observation. Resting-state functional magnetic resonance imaging (fMRI) data of 221 MDD patients and 215 healthy controls were shared by REST-meta-MDD consortium. We investigated the spatial-temporal dynamics of MDD using co-activation pattern analysis and made individual diagnoses using support vector machine (SVM). We found that MDD patients exhibited aberrant dynamic properties (such as dwell time, occurrence rate, transition probability, and entropy of Markov trajectories) in some transient networks including subcortical network (SCN), activated default mode network (DMN), de-activated SCN-cerebellum network, a joint network, activated attention network (ATN), and de-activated DMN-ATN, where some dynamic properties were indicative of depressive symptoms. The trajectories of other networks to deactivated DMN-ATN were more accessible in MDD patien...