Neural mechanisms of mindfulness meditation: bridging clinical and neuroscience investigations

Mindfulness-based cognitive therapy (MBCT) was developed to prevent relapse in individuals with depressive disorders. This widely used intervention has garnered considerable attention and a comprehensive review of current trends is warranted. As such, this review provides an overview of efficacy, mechanisms of action, and concludes with a discussion of dissemination. Results provided strong support for the efficacy of MBCT despite some methodological shortcomings in the reviewed literature. With respect to mechanisms of action, specific elements, such as mindfulness, repetitive negative thinking, self-compassion and affect, and cognitive reactivity have emerged as important mechanisms of change. Finally, despite a lack of widespread MBCT availability outside urban areas, research has shown that self-help variations are promising. Combined with findings that teacher competence may not be a significant predictor of treatment outcome, there are important implications for dissemination. Taken together, this review shows that while MBCT is an effective treatment for depression, continued research in the areas of efficacy, mechanisms of action, and dissemination are recommended.

Mindfulness Based Cognitive Therapy (MBCT) was developed to combine methods from cognitive behavioural therapy and meditative techniques, with the specific goal of preventing relapse in recurrent depression. While supported by empirical evidence from multiple clinical trials, the cognitive mechanisms behind the effectiveness of MBCT are not well understood in computational (information processing) or biological terms.This article introduces a testable theory about the computational mechanisms behind MBCT that is grounded in “Bayesian brain” concepts of perception from cognitive neuroscience, such as predictive coding. These concepts regard the brain as embodying a model of its environment (including the external world and the body) which predicts future sensory inputs and is updated by prediction errors, depending on how precise these error signals are.This article offers a concrete proposal how core concepts of MBCT – the being mode, decentring, and reactivity – could be understood in terms of perceptual and metacognitive processes that draw on specific computational mechanisms of the “Bayesian brain”. Importantly, the proposed theory can be tested experimentally, using a combination of behavioural paradigms, computational modelling, and neuroimaging. The novel theoretical perspective on MBCT described in this paper may offer opportunities for finessing the conceptual and practical aspects of MBCT.

Mindfulness-based cognitive therapy (MBCT) was developed as a psychological intervention for individuals at risk of depressive relapse. Possible mechanisms of change for this intervention are in line with its theoretical underpinnings, and include increases in mindfulness and/or decreases in negative repetitive thoughts. This review provides an overview of current trends in MBCT research, including efficacy and questions regarding the specific effects of MBCT in light of recent comparisons with structurally equivalent control conditions, mechanisms of change, and moderators of treatment outcome. In addition, future directions are discussed, such as challenges with training an adequate number of therapists and disseminating this therapy.