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健康个体和缓解期重性抑郁障碍患者默认模式网络连通性与反刍思维的差异关联。

Differential association of default mode network connectivity and rumination in healthy individuals and remitted MDD patients.

作者信息

Lois Giannis, Wessa Michèle

机构信息

Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University Mainz, Wallstraße 3, Mainz D-55122, Germany.

Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University Mainz, Wallstraße 3, Mainz D-55122, Germany

出版信息

Soc Cogn Affect Neurosci. 2016 Nov;11(11):1792-1801. doi: 10.1093/scan/nsw085. Epub 2016 Jul 12.

Abstract

Rumination is associated with increased default-mode network (DMN) activity and functional connectivity (FC) in depressed and healthy individuals. In this study, we sought to examine the relationship between self-reported rumination and resting-state FC in the DMN and cognitive control networks in 25 remitted depressed patients and 25 matched healthy controls using independent component and seed-based analyses. We also explored potential group differences in the global pattern of resting-state FC. Healthy subjects with increased levels of rumination exhibited increased anterior DMN connectivity with the posterior DMN and the dorsal attention network and low connectivity within the anterior DMN. On the other hand, remitted depressed ruminators patients were associated with the opposite FC pattern in these regions. Based on global FC patterns, a support vector machine algorithm correctly classified 92% of the subjects into their respective group by a leave-one-out cross-validation. Whole-brain FC analysis also revealed a group by rumination interaction effect within the DMN. The present findings highlight the different functional roles of the anterior and the posterior DMN, and provide novel insights into the underlying neural mechanisms leading to depression relapse.

摘要

沉思与抑郁个体和健康个体的默认模式网络(DMN)活动增加及功能连接性(FC)增强有关。在本研究中,我们试图使用独立成分分析和基于种子点的分析方法,研究25名缓解期抑郁症患者和25名匹配的健康对照者自我报告的沉思与DMN及认知控制网络静息态FC之间的关系。我们还探讨了静息态FC全局模式中潜在的组间差异。沉思水平较高的健康受试者表现出前DMN与后DMN及背侧注意网络之间的连接性增加,而前DMN内部的连接性较低。另一方面,缓解期抑郁的沉思者患者在这些区域呈现出相反的FC模式。基于全局FC模式,支持向量机算法通过留一法交叉验证将92%的受试者正确分类到各自的组中。全脑FC分析还揭示了DMN内的组×沉思交互效应。本研究结果突出了前DMN和后DMN的不同功能作用,并为导致抑郁症复发的潜在神经机制提供了新的见解。

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本文引用的文献

1
Rethinking Rumination.
Perspect Psychol Sci. 2008 Sep;3(5):400-24. doi: 10.1111/j.1745-6924.2008.00088.x.
2
Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience.
Biol Psychiatry. 2015 Aug 15;78(4):224-30. doi: 10.1016/j.biopsych.2015.02.020. Epub 2015 Feb 24.
5
Does resting-state connectivity reflect depressive rumination? A tale of two analyses.
Neuroimage. 2014 Dec;103:267-279. doi: 10.1016/j.neuroimage.2014.09.027. Epub 2014 Sep 26.
7
Neuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis.
Mol Psychiatry. 2015 Mar;20(3):311-9. doi: 10.1038/mp.2014.24. Epub 2014 Mar 25.
8
The dark side of self-focus: brain activity during self-focus in low and high brooders.
Soc Cogn Affect Neurosci. 2014 Nov;9(11):1808-13. doi: 10.1093/scan/nst178. Epub 2013 Dec 3.
9
Self-referential processing, rumination, and cortical midline structures in major depression.
Front Hum Neurosci. 2013 Oct 10;7:666. doi: 10.3389/fnhum.2013.00666.
10
Neural systems underlying thought suppression in young women with, and at-risk, for depression.
Behav Brain Res. 2013 Nov 15;257:13-24. doi: 10.1016/j.bbr.2013.09.016. Epub 2013 Sep 20.

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