Experiencing stressful or traumatic events can lead to a range of responses, from mild disruptions to severe and persistent mental health issues. Understanding the various trajectories of response to adversity is crucial for developing effective interventions and support systems. Researchers have identified four commonly observed response trajectories to adversity, from which the resilient is the most common one. Resilience refers to the maintenance of healthy psychological functioning despite facing adversity. However, it remains an open question how to understand and anticipate resilience, due to its dynamic and multifactorial nature. This article presents a novel formalized framework to conceptualize resilience from a complex systems perspective. We use the network theory of psychopathology, which states that mental disorders are self-sustaining endpoints of direct symptom-symptom interactions organized in a network system. The internal structure of the network determines the most likely trajectory of symptom development. We introduce the resilience quadrant, which organizes the state of symptom networks on two domains: (1) healthy versus dysfunctional and (2) stable versus unstable. The quadrant captures the four commonly observed response trajectories to adversity along those dimensions: resilient trajectories in the face of adversity, as well as persistent symptoms despite treatment interventions. Subsequently, an empirical illustration, by means of a proof-of-principle, shows how simulated observations from four different network architectures lead to the four commonly observed responses to adversity. As such, we present a novel outlook on resilience by combining existing statistical symptom network models with simulation techniques. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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从生活的扰动中反弹：从复杂系统的角度正式化心理弹性。


经历压力或创伤事件会导致一系列反应，从轻微的中断到严重和持续的心理健康问题。了解应对逆境的各种轨迹对于开发有效的干预措施和支持系统至关重要。研究人员已经确定了四种常见的逆境反应轨迹，其中弹性是最常见的一种。韧性是指在面临逆境的情况下保持健康的心理功能。然而，由于其动态和多因素的性质，如何理解和预测弹性仍然是一个悬而未决的问题。本文提出了一个新颖的正式框架，从复杂系统的角度概念化弹性。我们使用精神病理学的网络理论，该理论指出，精神障碍是在网络系统中组织的直接症状-症状相互作用的自我维持终点。网络的内部结构决定了症状发展的最可能轨迹。我们引入了弹性象限，它在两个领域组织了症状网络的状态：（1） 健康与功能失调和 （2） 稳定与不稳定。该象限捕捉了沿这些维度对逆境的四种常见反应轨迹：面对逆境的弹性轨迹，以及尽管进行了治疗干预，但仍有持续的症状。随后，通过原理验证，实证说明了来自四种不同网络架构的模拟观察如何导致对逆境的四种常见观察反应。因此，我们通过将现有的统计症状网络模型与模拟技术相结合，提出了一种新的弹性观点。 （PsycInfo 数据库记录 （c） 2024 APA，保留所有权利）。