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情绪调节疗法治疗后功能连接性的变化

Changes in Functional Connectivity Following Treatment With Emotion Regulation Therapy.

作者信息

Scult Matthew A, Fresco David M, Gunning Faith M, Liston Conor, Seeley Saren H, García Emmanuel, Mennin Douglas S

机构信息

Department of Psychiatry, Weill Cornell Medicine, New York, NY, United States.

Department of Psychology & Neuroscience, Duke University, Durham, NC, United States.

出版信息

Front Behav Neurosci. 2019 Feb 4;13:10. doi: 10.3389/fnbeh.2019.00010. eCollection 2019.

Abstract

Emotion regulation therapy (ERT) is an efficacious treatment for distress disorders (i.e., depression and anxiety), predicated on a conceptual model wherein difficult to treat distress arises from intense emotionality (e.g., neuroticism, dispositional negativity) and is prolonged by negative self-referentiality (e.g., worry, rumination). Individuals with distress disorders exhibit disruptions in two corresponding brain networks including the salience network (SN) reflecting emotion/motivation and the default mode network (DMN) reflecting self-referentiality. Using resting-state functional connectivity (rsFC) analyses, seeded with primary regions in each of these networks, we investigated whether ERT was associated with theoretically consistent changes across nodes of these networks and whether these changes related to improvements in clinical outcomes. This study examined 21 generalized anxiety disorder (GAD) patients [with and without major depressive disorder (MDD)] drawn from a larger intervention trial (Renna et al., 2018a), who completed resting state fMRI scans before and after receiving 16 sessions of ERT. We utilized seed-based connectivity analysis with seeds in the posterior cingulate cortex (PCC), right anterior insula, and right posterior insula, to investigate whether ERT was associated with changes in connectivity of nodes of the DMN and SN networks to regions across the brain. Findings revealed statistically significant treatment linked changes in both the DMN and SN network nodes, and these changes were associated with clinical improvement corresponding to medium effect sizes. The results are discussed in light of a nuanced understanding of the role of connectivity changes in GAD and MDD, and begin to provide neural network support for the hypothesized treatment model predicated by ERT.

摘要

情绪调节疗法(ERT)是一种针对情绪困扰障碍(即抑郁症和焦虑症)的有效治疗方法,其基于一个概念模型,即难以治疗的情绪困扰源于强烈的情绪性(如神经质、特质性消极情绪),并因消极的自我参照性(如担忧、沉思)而持续存在。患有情绪困扰障碍的个体在两个相应的脑网络中表现出功能紊乱,包括反映情绪/动机的突显网络(SN)和反映自我参照性的默认模式网络(DMN)。我们使用静息态功能连接(rsFC)分析,以这两个网络中的主要区域为种子点,研究ERT是否与这些网络节点上理论上一致的变化相关,以及这些变化是否与临床结果的改善有关。本研究考察了21名广泛性焦虑症(GAD)患者[伴有或不伴有重度抑郁症(MDD)],这些患者来自一项更大规模的干预试验(Renna等人,2018a),他们在接受16次ERT治疗前后完成了静息态功能磁共振成像扫描。我们利用基于种子点的连接性分析,以扣带回后部(PCC)、右侧前岛叶和右侧后岛叶为种子点,研究ERT是否与DMN和SN网络节点与全脑各区域之间连接性的变化相关。研究结果显示,治疗与DMN和SN网络节点的连接性变化具有统计学意义上的显著关联,且这些变化与中等效应量的临床改善相关。我们根据对GAD和MDD中连接性变化作用的细致理解对结果进行了讨论,并开始为ERT所假设的治疗模型提供神经网络支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/174d/6369363/98b1bb71033f/fnbeh-13-00010-g0001.jpg

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