Abstract：
Personalized functional connectivity mapping has been demonstrated to be promising in identifying underlying neurophysiological basis for brain disorders and treatment effects. Electroconvulsive therapy (ECT) has been proved to be an effective treatment for major depressive disorder (MDD) while its active mechanisms remain unclear. Here, 46 MDD patients before and after ECT as well as 46 demographically matched healthy controls (HC) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. A spatially regularized form of non-negative matrix factorization (NMF) was used to accurately identify functional networks (FNs) in individuals to map individual-level static and dynamic functional network connectivity (FNC) to reveal the underlying neurophysiological basis of therepetical effects of ECT for MDD. Moreover, these static and dynamic FNCs were used as features to predict the clinical treatment outcomes for MDD patients. We found that ECT could modulate both static and dynamic large-scale FNCs at individual level in MDD patients, and dynamic FNCs were closely associated with depression and anxiety symptoms. Importantly, we found that individual FNCs, particularly the individual dynamic FNCs could better predict the treatment outcomes of ECT suggesting that dynamic functional connectivity analysis may be better to link brain functional characteristics with clinical symptoms and treatment outcomes. Taken together, our findings provide new evidence for the active mechanisms and biomarkers for ECT to improve diagnostic accuracy and to guide individual treatment selection for MDD patients.
摘要：
个性化功能连接映射已被证明在识别脑部疾病和治疗效果的潜在神经生理学基础方面是有前途的。电惊厥疗法（ECT）已被证明是治疗重度抑郁症（MDD）的有效方法，但其作用机制尚不清楚。这里,ECT前后的46例MDD患者以及人口统计学上匹配的健康对照（HC）接受了静息状态功能磁共振成像（rs-fMRI）扫描。非负矩阵分解（NMF）的空间正则化形式用于准确识别个体中的功能网络（FN），以映射个体水平的静态和动态功能网络连接（FNC），以揭示其潜在的神经生理学基础。ECT对MDD的影响。此外，这些静态和动态FNC被用作预测MDD患者临床治疗结局的特征.我们发现，ECT可以在MDD患者的个体水平上调节静态和动态大规模FNC，动态FNC与抑郁和焦虑症状密切相关。重要的是,我们发现个别FNC，尤其是个体动态FNC可以更好地预测ECT的治疗结局,提示动态功能连接分析可能更好地将脑功能特征与临床症状和治疗结局联系起来.一起来看,我们的研究结果为ECT的积极机制和生物标志物提供了新的证据,以提高诊断准确性并指导MDD患者的个体化治疗选择.
