Medical Research Council, Cognition and Brain Sciences Unit, Cambridge, UK.
National University of Ireland, Maynooth, Ireland.
Q J Exp Psychol (Hove). 2020 Dec;73(12):2119-2131. doi: 10.1177/1747021820943148. Epub 2020 Aug 21.
Generalised avoidance behaviours are a common diagnostic feature of anxiety-related disorders and a barrier to affecting changes in anxiety during therapy. However, strategies to mitigate generalised avoidance are under-investigated. Even less attention is given to reducing the category-based generalisation of avoidance. We therefore investigated the potential of an operant-based approach. Specifically, it was examined whether reinforcing competing (non-avoidance) behaviours to threat-predictive cues would interfere with the expression of generalised avoidance. Using a matching-to-sample task, artificial stimulus categories were established using physically dissimilar nonsense shapes. A member of one category (conditioned stimulus; CS1) was then associated with an aversive outcome in an Acquisition context, unless an avoidance response was made. Next, competing behaviours were reinforced in response to the CS1 in new contexts. Finally, we tested for the generalisation of avoidance to another member of the stimulus category (generalisation stimulus; GS1) in both a Novel context and the Acquisition context. The selective generalisation of avoidance to GS1 was observed, but only in the Acquisition context. In the Novel context, the generalisation of avoidance to GSs was significantly reduced. A comparison group (Experiment 2), which did not learn any competing behaviours, avoided GS1 in both contexts. These findings suggest that reinforcing competing behavioural responses to threat-predictive cues can lead to reductions in generalised avoidance. This study is among the first study to demonstrate sustained reductions in generalised avoidance resulting from operant-based protocols, and the clinical and research implications are discussed.
泛化回避行为是焦虑相关障碍的常见诊断特征,也是治疗中影响焦虑变化的障碍。然而,减轻泛化回避的策略研究不足。对于减少基于类别回避的泛化关注更少。因此,我们研究了基于操作性条件作用的方法的潜力。具体来说,研究了强化威胁预测线索的竞争(非回避)行为是否会干扰泛化回避的表达。使用匹配样本任务,使用物理上不同的无意义形状建立了人工刺激类别。一个类别的成员(条件刺激;CS1)然后与一个厌恶的结果在获得上下文相关联,除非做出回避反应。接下来,在新的环境中,回避反应会强化竞争行为。最后,我们测试了回避反应对刺激类别的另一个成员(泛化刺激;GS1)在新环境和获得环境中的泛化。观察到回避对 GS1 的选择性泛化,但仅在获得环境中。在新环境中,回避对 GS 的泛化显著减少。一个没有学习任何竞争行为的对照组(实验 2)在两个环境中都回避 GS1。这些发现表明,强化对威胁预测线索的竞争行为反应可以导致泛化回避的减少。这项研究是首次证明基于操作性条件作用的协议可以持续减少泛化回避的研究之一,并讨论了其临床和研究意义。