Department of Psychology, University of Southern California.
Department of Psychology, University of Illinois at Urbana-Champaign.
J Psychopathol Clin Sci. 2023 Oct;132(7):847-866. doi: 10.1037/abn0000849. Epub 2023 Jul 6.
Affect regulation often is disrupted in depression. Understanding biomarkers of affect regulation in ecologically valid contexts is critical for identifying moments when interventions can be delivered to improve regulation and may have utility for identifying which individuals are vulnerable to psychopathology. Autonomic complexity, which includes linear and nonlinear indices of heart rate variability, has been proposed as a novel marker of neurovisceral integration. However, it is not clear how autonomic complexity tracks with regulation in everyday life, and whether low complexity serves as a marker of related psychopathology. To measure regulation phenotypes with diminished influence of current symptoms, 37 young adults with remitted major depressive disorder (rMDD) and 28 healthy comparisons (HCs) completed ambulatory assessments of autonomic complexity and affect regulation across one week in everyday life. Multilevel models indicated that in HCs, but not rMDD, autonomic complexity fluctuated in response to regulation cues, increasing in response to reappraisal and distraction and decreasing in response to negative affect. Higher complexity across the week predicted greater everyday regulation success, whereas greater variability of complexity predicted lower (and less variable) negative affect, rumination, and mind-wandering. Results suggest that ambulatory assessment of autonomic complexity can passively index dynamic aspects of real-world affect and regulation, and that dynamic physiological reactivity to regulation is restricted in rMDD. These results demonstrate how intensive sampling of dynamic, nonlinear regulatory processes can advance our understanding of potential mechanisms underlying psychopathology. Such measurements might inform how to test interventions to enhance neurovisceral complexity and affect regulation success in real time. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
情绪调节在抑郁症中经常受到干扰。理解生态有效情境下情绪调节的生物标志物对于识别可以进行干预以改善调节的时刻非常重要，并且可能有助于识别哪些个体易患精神病理学。自主复杂性，包括心率变异性的线性和非线性指标，已被提议作为神经内脏整合的新标志物。然而，自主复杂性如何与日常生活中的调节相关，以及低复杂性是否作为相关精神病理学的标志物尚不清楚。为了用受当前症状影响较小的方式来衡量调节表型，37 名缓解期重度抑郁症（rMDD）患者和 28 名健康对照组（HCs）在日常生活中完成了一周的自主复杂性和情绪调节的动态评估。多层次模型表明，在 HCs 中，但不是在 rMDD 中，自主复杂性会根据调节线索而波动，对重新评估和分散注意力的反应会增加，对负性情绪的反应会减少。一周内更高的复杂性预示着更大的日常调节成功，而复杂性的更大变异性预示着更低（且变化更小）的负性情绪、沉思和心流。结果表明，自主复杂性的动态评估可以被动地反映现实世界中情绪和调节的动态方面，而 rMDD 中对调节的动态生理反应受到限制。这些结果表明，密集采样动态、非线性调节过程如何推进我们对潜在精神病理学机制的理解。此类测量可能会告知如何实时测试增强神经内脏复杂性和情绪调节成功的干预措施。（PsycInfo 数据库记录（c）2023 APA，保留所有权利）。
