4.7 Article

A core component of psychological therapy causes adaptive changes in computational learning mechanisms

Journal

PSYCHOLOGICAL MEDICINE
Volume -, Issue -, Pages -

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0033291723001587

Keywords

Computational psychiatry; distancing; emotion regulation; psychotherapy; reinforcement learning

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Cognitive distancing is a commonly used emotion regulation strategy in psychological treatment. This study reveals that cognitive distancing improves task performance, enhances learning from reward and loss, and promotes effective engagement with negative information. These findings suggest that cognitive distancing has therapeutic benefits for mental health disorders.
BackgroundCognitive distancing is an emotion regulation strategy commonly used in psychological treatment of various mental health disorders, but its therapeutic mechanisms are unknown. Methods935 participants completed an online reinforcement learning task involving choices between pairs of symbols with differing reward contingencies. Half (49.1%) of the sample was randomised to a cognitive self-distancing intervention and were trained to regulate or 'take a step back' from their emotional response to feedback throughout. Established computational (Q-learning) models were then fit to individuals' choices to derive reinforcement learning parameters capturing clarity of choice values (inverse temperature) and their sensitivity to positive and negative feedback (learning rates). ResultsCognitive distancing improved task performance, including when participants were later tested on novel combinations of symbols without feedback. Group differences in computational model-derived parameters revealed that cognitive distancing resulted in clearer representations of option values (estimated 0.17 higher inverse temperatures). Simultaneously, distancing caused increased sensitivity to negative feedback (estimated 19% higher loss learning rates). Exploratory analyses suggested this resulted from an evolving shift in strategy by distanced participants: initially, choices were more determined by expected value differences between symbols, but as the task progressed, they became more sensitive to negative feedback, with evidence for a difference strongest by the end of training. ConclusionsAdaptive effects on the computations that underlie learning from reward and loss may explain the therapeutic benefits of cognitive distancing. Over time and with practice, cognitive distancing may improve symptoms of mental health disorders by promoting more effective engagement with negative information.

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