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抑郁症患者氯胺酮治疗前后静息态脑磁图功能连接的初步差异。

Preliminary differences in resting state MEG functional connectivity pre- and post-ketamine in major depressive disorder.

机构信息

Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.

NIMH Magnetoencephalography Core Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.

出版信息

Psychiatry Res Neuroimaging. 2016 Aug 30;254:56-66. doi: 10.1016/j.pscychresns.2016.06.006. Epub 2016 Jun 23.

DOI:10.1016/j.pscychresns.2016.06.006
PMID:27362845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4992587/
Abstract

Functional neuroimaging techniques including magnetoencephalography (MEG) have demonstrated that the brain is organized into networks displaying correlated activity. Group connectivity differences between healthy controls and participants with major depressive disorder (MDD) can be detected using temporal independent components analysis (ICA) on beta-bandpass filtered Hilbert envelope MEG data. However, the response of these networks to treatment is unknown. Ketamine, an N-methyl-D-aspartate (NMDA) receptor antagonist, exerts rapid antidepressant effects. We obtained MEG recordings before and after open-label infusion of 0.5mg/kg ketamine in MDD subjects (N=13) and examined networks previously shown to differ between healthy individuals and those with MDD. Connectivity between the amygdala and an insulo-temporal component decreased post-ketamine in MDD subjects towards that observed in control subjects at baseline. Decreased baseline connectivity of the subgenual anterior cingulate cortex (sgACC) with a bilateral precentral network had previously been observed in MDD compared to healthy controls, and the change in connectivity post-ketamine was proportional to the change in sgACC glucose metabolism in a subset (N=8) of subjects receiving [11F]FDG-PET imaging. Ketamine appeared to reduce connectivity, regardless of whether connectivity was abnormally high or low compared to controls at baseline. These preliminary findings suggest that sgACC connectivity may be directly related to glutamate levels.

摘要

功能神经影像学技术,包括脑磁图(MEG),已经证明大脑是由显示相关活动的网络组织而成的。使用 beta 带通滤波希尔伯特包络 MEG 数据的时间独立成分分析(ICA)可以检测到健康对照组和重度抑郁症(MDD)参与者之间的群体连接差异。然而,这些网络对治疗的反应尚不清楚。氯胺酮是一种 N-甲基-D-天冬氨酸(NMDA)受体拮抗剂,具有快速抗抑郁作用。我们在 MDD 患者(N=13)接受 0.5mg/kg 氯胺酮开放标签输注前后获得了 MEG 记录,并检查了先前在健康个体和 MDD 个体之间存在差异的网络。在 MDD 患者中,杏仁核与岛颞成分之间的连接在氯胺酮后降低,向健康对照组的基线水平靠拢。与健康对照组相比,先前已经观察到 MDD 患者的扣带回前皮质(sgACC)亚基与双侧前中央网络的基线连接减少,并且在接受 [11F]FDG-PET 成像的一组(N=8)受试者中,氯胺酮后连接的变化与 sgACC 葡萄糖代谢的变化成正比。氯胺酮似乎降低了连接性,无论与对照组相比基线时的连接性是异常高还是低。这些初步发现表明,sgACC 的连接性可能与谷氨酸水平直接相关。

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本文引用的文献

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