The Laboratory for Affect Cognition and Regulation (ACRLAB), Key Laboratory of Cognition and Personality of Ministry of Education (SWU), Faculty of Psychology, Southwest University, Chongqing, China.
Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Soc Cogn Affect Neurosci. 2018 Dec 4;13(12):1235-1247. doi: 10.1093/scan/nsy092.
Cognitive reappraisal is associated with major depressive disorder (MDD), while spontaneous activity patterns of the default mode network (DMN) is implicated in reappraisal and MDD. However, neural mechanisms subserving the close association of spontaneous reappraisal and depression are unclear. Spontaneous reappraisal, depression and resting-state functional magnetic resonance imaging (rsfMRI) were measured from 105 healthy subjects. We assessed the temporal complexity (Hurst exponent), Regional Homogeneity (ReHo) and fractional Amplitude of Low Frequency Fluctuation (fALFF) profiles of DMN, a network involved in both reappraisal and depression. Mediation effects of these standard measures on the relationship between reappraisal and depression, and the contributions of each DMN subregion, were assessed. Results indicated that Hurst exponent (H) of DMN, whether extracted by independent component analysis (ICA) or region of interest (ROI), was significantly associated with reappraisal scores. An individual with a higher reappraisal score has a lower Hurst value of DMN. Mediation analyses suggest that H of DMN partially mediates the association between reappraisal and the degree of depression, and this mediation effect arises from the contribution of medial prefrontal cortex. Neither ReHo nor fALFF showed a similar correlation or mediation effect. These findings suggest that temporal dynamics of DMN play an important role in emotion regulation and its association with depression. H of DMN may serve as a neural marker mediating the association between reappraisal and depression.
认知重评与重度抑郁症（MDD）有关，而默认模式网络（DMN）的自发活动模式与重评和 MDD 有关。然而，支持自发重评和抑郁密切关联的神经机制尚不清楚。从 105 名健康受试者中测量了自发重评、抑郁和静息态功能磁共振成像（rsfMRI）。我们评估了 DMN 的时间复杂性（赫斯特指数）、区域同质性（ReHo）和低频波动分数振幅（fALFF）谱，DMN 是一个既与重评又与抑郁有关的网络。评估了这些标准测量值在重评与抑郁之间关系上的中介效应，以及每个 DMN 亚区的贡献。结果表明，DMN 的赫斯特指数（H），无论是通过独立成分分析（ICA）还是感兴趣区域（ROI）提取，都与重评分数显著相关。一个重评分数较高的个体，其 DMN 的赫斯特值较低。中介分析表明，DMN 的 H 部分介导了重评与抑郁程度之间的关联，这种中介效应来自于内侧前额叶皮层的贡献。ReHo 和 fALFF 均未显示出类似的相关性或中介效应。这些发现表明 DMN 的时间动态在情绪调节及其与抑郁的关联中起着重要作用。DMN 的 H 可能作为一种神经标志物，介导重评与抑郁之间的关联。
