From Simple Mechanics to Complex Dynamics: A Dynamical Systems Science of Mindfulness and Meditation

Research on mindfulness meditation has largely relied on reductionist decomposition, which isolates discrete components and mechanisms but fails to capture how change emerges from continuous, nonlinear, and recursive interactions across multiple timescales. Dynamical Systems (DS) theory and methods offer a powerful framework to address this gap. A DS organizational framework structured around complex interaction dynamics, nonlinear causality, and multiscale temporal dynamics can inform theory-building, empirical research, and intervention science. Leading psychological and neuroscientific theories align with DS theory, unlike much empirical research. Future directions include developing formal DS models, collecting high-dimensional multiscale data, and using analytic tools for complex dynamical change.

Study at a glance

Abstract

Mindfulness meditation is a robust and rapidly growing area of inquiry in the psychologicalsciences. Yet, core questions remain about how mindfulness develops, how it exerts its effects, andwhat conditions amplify or attenuate these effects. We argue that empirical research onmindfulness has predominantly relied on reductionist decomposition - a foundational scientificapproach that isolates and analyzes discrete components and mechanisms of a system, itsmechanics. While valuable, this approach is poorly suited to capturing how change and developmentemerge from continuous, nonlinear, and recursive interactions unfolding across multipletimescales—its dynamics. To address this gap, we propose that Dynamical Systems (DS) theory andmethods provide a powerful framework for advancing the science of mindfulness and meditation.We introduce a DS organizational framework for mindfulness and meditation science structuredaround three multi-faceted dimensions: complex interaction dynamics, nonlinear causality, andmultiscale temporal dynamics. We illustrate how this framework can inform theory-building,empirical research, and intervention science in mindfulness and meditation. In turn, we examinehow leading psychological and neuroscientific theories of mindfulness and meditation align with DStheory, in contrast to much of the empirical research, which remains rooted in reductionistcomponent-based approaches. Finally, we outline actionable future directions, including thedevelopment of formal DS theory and computational models, study designs that collect high-dimensional multiscale data, as well data analytic tools capable of modeling complex dynamicalchange.