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重度抑郁症中的情感网络密度

Emotion-Network Density in Major Depressive Disorder.

作者信息

Lee Pe Madeline, Kircanski Katharina, Thompson Renee J, Bringmann Laura F, Tuerlinckx Francis, Mestdagh Merijn, Mata Jutta, Jaeggi Susanne M, Buschkuehl Martin, Jonides John, Kuppens Peter, Gotlib Ian H

机构信息

KU Leuven.

Stanford University.

出版信息

Clin Psychol Sci. 2015 Mar;3(2):292-300. doi: 10.1177/2167702614540645. Epub 2014 Aug 4.

Abstract

Major Depressive Disorder (MDD) is a prevalent disorder involving disturbances in mood. There is still much to understand regarding precisely how emotions are disrupted in individuals with MDD. In this study, we used a network approach to examine the emotional disturbances underlying MDD. We hypothesized that, compared to healthy controls, individuals diagnosed with MDD would be characterized by a denser emotion network, indicating that their emotion system is more resistant to change. Indeed, results from a 7-day experience sampling study revealed that individuals with MDD had a denser overall emotion network than did healthy controls. Moreover, this difference was driven primarily by a denser negative, but not positive, network in MDD participants. These findings suggest that the disruption in emotions that characterizes depressed individuals stems from a negative emotion system that is resistant to change.

摘要

重度抑郁症(MDD)是一种常见的情绪障碍疾病。关于MDD患者的情绪究竟是如何受到干扰的,仍有许多需要了解的地方。在本研究中,我们采用网络分析方法来研究MDD潜在的情绪障碍。我们假设,与健康对照组相比,被诊断为MDD的个体的情绪网络更为密集,这表明他们的情绪系统对变化更具抵抗力。事实上,一项为期7天的经验取样研究结果显示,MDD患者的整体情绪网络比健康对照组更为密集。此外,这种差异主要是由MDD参与者中更密集的消极情绪网络而非积极情绪网络驱动的。这些发现表明,抑郁症患者情绪紊乱的根源在于一个抗拒变化的消极情绪系统。

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