Tolchinsky Alexey, Levin Michael, Fields Chris, Da Costa Lancelot, Murphy Rachael, Friedman Daniel, Pincus David
Professional Psychology Program, The George Washington University, Washington, DC, United States.
Allen Discovery Center at Tufts University, Medford, MA, United States.
Front Psychol. 2025 Sep 5;16:1585315. doi: 10.3389/fpsyg.2025.1585315. eCollection 2025.
Multiple theoretical models of dissociative experiences have been formulated over the last century. These theories are clinically useful; however, it remains unclear if common factors exist in various pathways leading to an onset of dissociations. In this paper we provide a framework for building an integrated, dynamical model of dissociative experiences. This framework combines a first-principles-based perspective with nonlinear dynamical systems, clinical, and neurobiological perspectives. We propose that a substantial change in the parameter we call "temporal depth" can be a common factor in dissociative episodes of any etiology, moreover, we consider such a change to have causal power. In the follow-up series of papers, we will provide empirical data supporting the collapse of temporal depth in various kinds of dissociative experiences, a computer simulation that would test this model's computational components, and preliminary ideas for therapeutic applications.
在过去的一个世纪里，人们已经构建了多种关于分离体验的理论模型。这些理论在临床上很有用；然而，目前尚不清楚在导致分离发作的各种途径中是否存在共同因素。在本文中，我们提供了一个构建分离体验综合动态模型的框架。该框架将基于第一性原理的观点与非线性动力系统、临床和神经生物学观点相结合。我们提出，我们称之为“时间深度”的参数的实质性变化可能是任何病因的分离发作中的一个共同因素，此外，我们认为这种变化具有因果作用。在后续的一系列论文中，我们将提供支持各种分离体验中时间深度崩溃的实证数据、一个将测试该模型计算组件的计算机模拟，以及治疗应用的初步想法。
