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抑郁症患者电抽搐治疗的网络神经生物学。

Network neurobiology of electroconvulsive therapy in patients with depression.

机构信息

Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore 560029, India.

Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore 560029, India; Cognitive Neuroscience Centre, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore 560029, India.

出版信息

Psychiatry Res Neuroimaging. 2019 May 30;287:31-40. doi: 10.1016/j.pscychresns.2019.03.008. Epub 2019 Mar 20.

DOI:10.1016/j.pscychresns.2019.03.008
PMID:30952030
Abstract

Graph theory, a popular analytic tool for resting state fMRI (rsfMRI) has provided important insights in the neurobiology of depression. We aimed to analyze the changes in the network measures of segregation and integration associated with the administration of ECT in patients with depression and to correlate with both clinical response and cognitive deficits. Changes in normalised clustering coefficient (γ), path length (λ) and small-world (σ) index were explored in 17 patients with depressive episode before 1st and after 6th brief-pulse bifrontal ECT (BFECT) sessions. Significant brain regions were then correlated with differences in clinical and cognitive scales. There was significantly increased γ and σ despite significant increase in λ in several brain regions after ECT in patients with depression. The brain areas revealing significant differences in γ before and after ECT were medial left superior frontal gyrus, left paracentral lobule, right pallidum and left inferior frontal operculum; correlating with changes in verbal fluency, HAM-D scores and delayed verbal memory (last two regions) respectively. BFECT reorganized the brain network topology in patients with depression and made it more segregated and less integrated; these correlated with clinical improvement and associated cognitive deficits.

摘要

图论是一种用于静息态功能磁共振成像(rsfMRI)的分析工具,它为抑郁症的神经生物学提供了重要的见解。我们旨在分析与电休克治疗(ECT)相关的网络分离和整合指标的变化,以及与临床反应和认知缺陷的相关性。对 17 名抑郁症患者在第 1 次和第 6 次短脉冲双额 ECT(BFECT)治疗前后的正常化聚类系数(γ)、路径长度(λ)和小世界(σ)指数的变化进行了探索。然后,将显著的脑区与临床和认知量表的差异相关联。尽管在 ECT 后,抑郁症患者的几个脑区的λ显著增加,但γ和σ显著增加。在 ECT 前后γ有显著差异的脑区有左侧额上回内侧、左侧旁中央小叶、右侧苍白球和左侧额下回外侧;与言语流畅性、汉密尔顿抑郁量表(HAM-D)评分和延迟性言语记忆(后两个区域)的变化相关。BFECT 重组了抑郁症患者的大脑网络拓扑结构,使大脑网络变得更加分离和不那么整合;这些与临床改善和相关认知缺陷相关。

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