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广泛性焦虑障碍和社交焦虑障碍中的静息态功能连接:维度方法的证据

Resting-State Functional Connectivity in Generalized Anxiety Disorder and Social Anxiety Disorder: Evidence for a Dimensional Approach.

作者信息

Rabany Liron, Diefenbach Gretchen J, Bragdon Laura B, Pittman Brian P, Zertuche Luis, Tolin David F, Goethe John W, Assaf Michal

机构信息

1 Olin Neuropsychiatry Research Center, Institute of Living , Hartford, Connecticut.

2 Anxiety Disorders Center, Institute of Living , Hartford, Connecticut.

出版信息

Brain Connect. 2017 Jun;7(5):289-298. doi: 10.1089/brain.2017.0497.

Abstract

Generalized anxiety disorder (GAD) and social anxiety disorder (SAD) are currently considered distinct diagnostic categories. Accumulating data suggest the study of anxiety disorders may benefit from the use of dimensional conceptualizations. One such dimension of shared dysfunction is emotion regulation (ER). The current study evaluated dimensional (ER) and categorical (diagnosis) neurocorrelates of resting-state functional connectivity (rsFC) in participants with GAD and SAD and healthy controls (HC). Functional magnetic resonance imaging (fMRI) rsFC was estimated between all regions of the default mode network (DMN), salience network (SN), and bilateral amygdala (N = 37: HC-19; GAD-10; SAD-8). Thereafter, rsFC was predicted by both ER, (using the Difficulties in Emotion Regulation Scale [DERS]), and diagnosis (DSM-5) within a single unified analysis of covariance (ANCOVA). For the ER dimension, there was a significant association between impaired ER abilities and anticorrelated rsFC of amygdala and DMN (L.amygdala-ACC: p = 0.011, beta = -0.345), as well as amygdala and SN (L.amygdala-posterior cingulate cortex [PCC]: p = 0.032, beta = -0.409). Diagnostic status was significantly associated with rsFC differences between the SAD and HC groups, both within the DMN (PCC-MPFC: p = 0.009) and between the DMN and SN (R.LP-ACC: p = 0.010). Although preliminary, our results exemplify the potential contribution of the dimensional approach to the study of GAD and SAD and support a combined categorical and dimensional model of rsFC of anxiety disorders.

摘要

广泛性焦虑障碍(GAD)和社交焦虑障碍(SAD)目前被视为不同的诊断类别。越来越多的数据表明,焦虑障碍的研究可能受益于维度概念化的应用。共享功能障碍的一个这样的维度是情绪调节(ER)。本研究评估了广泛性焦虑障碍和社交焦虑障碍患者以及健康对照(HC)静息态功能连接(rsFC)的维度(情绪调节)和分类(诊断)神经相关性。使用功能磁共振成像(fMRI)估计默认模式网络(DMN)、突显网络(SN)和双侧杏仁核所有区域之间的rsFC(N = 37:健康对照-19;广泛性焦虑障碍-10;社交焦虑障碍-8)。此后,在单一的协方差分析(ANCOVA)中,通过情绪调节(使用情绪调节困难量表[DERS])和诊断(DSM-5)来预测rsFC。对于情绪调节维度,情绪调节能力受损与杏仁核和默认模式网络的反相关rsFC之间存在显著关联(左杏仁核-前扣带回皮质:p = 0.011,β = -0.345),以及杏仁核和突显网络之间(左杏仁核-后扣带回皮质[PCC]:p = 0.032,β = -0.409)。诊断状态与社交焦虑障碍组和健康对照组之间的rsFC差异显著相关,无论是在默认模式网络内(后扣带回皮质-内侧前额叶皮质:p = 0.009)还是在默认模式网络和突显网络之间(右外侧顶叶-前扣带回皮质:p = 0.010)。尽管是初步的,但我们的结果例证了维度方法对广泛性焦虑障碍和社交焦虑障碍研究的潜在贡献,并支持焦虑障碍rsFC的分类和维度组合模型。

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