重度抑郁症及其电休克治疗的临界态动力学研究的数据

研究背景：电痉挛疗法(ECT)被广泛认为是治疗重度抑郁障碍(MDD)患者的一种有效且快速的选择。然而，这种疗法背后的神经基础仍不确定。最近的研究表明，健康的大脑可能在一个临界状态附近运行，这可能反映了神经元兴奋和抑制之间的平衡。目的:在本研究中，我们研究了重度抑郁症的临界态是否有变化，如果有，ECT是否可以逆转它们。对39名MDD患者和38名健康对照(HCs)静息状态功能磁共振成像(rs-fMRI)数据进行关键动力学分析。结果:我们发现，与HCs相比，重度抑郁症患者，尤其是那些对ECT有积极反应的患者，往往有更小的平均雪崩大小和更低的分支比率，这表明在全脑和功能网络水平上都处于亚临界状态。重要的是，ECT有效地纠正了这种异常，并增强了位于网络(包括默认模式和额顶叶网络)中的高度节点的度中心性和功能连通性。结论:这些结果表明ECT可以调节MDD患者的大尺度脑动力学，使其更接近临界状态。我们的研究揭示了重度抑郁症的病理和ECT影响治疗的网络机制。

Research Background: Electroconvulsive therapy (ECT) is widely recognized as an effective and rapid treatment option for patients with major depressive disorder (MDD). However, the neural mechanisms underlying this therapy remain uncertain. Recent studies have indicated that the healthy brain operates near a critical state, which may reflect the balance between neuronal excitation and inhibition. Objective: In this study, we examined whether the critical state of MDD is altered, and if so, whether ECT can reverse these changes. Critical dynamics analysis was conducted on resting-state functional magnetic resonance imaging (rs-fMRI) data from 39 MDD patients and 38 healthy controls (HCs). Results: We found that compared with HCs, patients with MDD, particularly those with positive responses to ECT, tended to exhibit smaller mean avalanche sizes and lower branching ratios, indicating a subcritical state at both the whole-brain and functional network levels. Importantly, ECT effectively corrected this abnormality and enhanced the degree centrality and functional connectivity of high-degree nodes in networks including the default mode and frontoparietal networks. Conclusion: These findings demonstrate that ECT can modulate the large-scale brain dynamics of MDD patients to bring them closer to the critical state. Our study uncovers the pathological basis of MDD and the network-level mechanisms underlying the therapeutic effects of ECT.

搜集汇总

背景与挑战

背景概述

该数据集包含用于研究重度抑郁症（MDD）患者临界态动力学及电休克治疗（ECT）效果的功能磁共振成像数据，涉及39名MDD患者和38名健康对照的静息态数据。数据集提供MAT格式文件，包括全脑和功能网络级别的分析结果，用于揭示MDD患者的亚临界状态特征及ECT对大脑动力学的调节作用。