重性抑郁障碍
抗抑郁药
中间性中心性
聚类系数
拓扑(电路)
医学
内科学
心理学
精神科
中心性
心情
计算机科学
数学
海马体
人工智能
聚类分析
组合数学
作者
Youran Dai,Yankun Wu,Xiao Chen,Yawei Zeng,Ke Li,Jitao Li,Yun‐Ai Su,Lin-Lin Zhu,Chao‐Gan Yan,Tianmei Si
标识
DOI:10.1016/j.jad.2023.02.126
摘要
A recent study revealed disrupted topological organization of whole-brain networks in patients with major depressive disorder (MDD); however, these results were mostly driven by recurrent MDD patients, rather than first-episode drug-naïve (FEDN) patients. Furthermore, few longitudinal studies have explored the effects of antidepressant therapy on the topological organization of whole-brain networks. We collected clinical and neuroimaging data from 159 FEDN MDD patients and 152 normal controls (NCs). A total of 115 MDD patients completed an eight-week antidepressant treatment procedure. Topological features of brain networks were calculated using graph theory-based methods and compared between FEDN MDD patients and NCs, as well as before and after treatment. Decreased global efficiency, local efficiency, small-worldness, and modularity were found in pretreatment FEDN MDD patients compared with NCs. Nodal degrees, betweenness, and efficiency decreased in several networks compared with NCs. After antidepressant treatment, the global efficiency increased, while the local efficiency, the clustering coefficient of the network, the path length, and the normalized characteristic path length decreased. Moreover, the reduction rate of the normalized characteristic path length was positively correlated with the reduction rate of retardation factor scores. The interaction effects of groups and time on the topological features were not explored because of absence of the eighth-week data of NC group. The topological architecture of functional brain networks is disrupted in FEDN MDD patients. After antidepressant therapy, the global efficiency shifted toward recovery, but the local efficiency deteriorated, suggesting a correlation between recovery of retardation symptoms and global efficiency.
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