Publication | Open Access
Potential self-regulatory mechanisms of yoga for psychological health
444
Citations
106
References
2014
Year
Affective NeuroscienceEducationMotor ControlHealth PsychologyYogaSocial SciencesPsychologyStressPotential Self-regulatory MechanismsOptimal Self-regulationYoga PracticeMind-body ConnectionStress ModulationCognitive NeuroscienceCognitive ScienceMeditationRehabilitationMindfulnessHealth BehaviorMind-body InterventionNeuroscienceHealth Management System
Research has shown yoga benefits many aspects of psychological health, yet no overarching framework exists to explain these effects. The paper aims to develop a theoretical, systems‑based framework for yoga’s self‑regulatory mechanisms and to guide future research on stress‑mediated psychological disorders. The authors present a systems‑based network model that integrates top‑down and bottom‑up self‑regulation, emphasizing interoception, predictive coding, and bidirectional brain‑body feedback to explain how yoga practice automates and optimizes stress modulation.
Research suggesting the beneficial effects of yoga on myriad aspects of psychological health has proliferated in recent years, yet there is currently no overarching framework by which to understand yoga's potential beneficial effects. Here we provide a theoretical framework and systems-based network model of yoga that focuses on integration of top-down and bottom-up forms of self-regulation. We begin by contextualizing yoga in historical and contemporary settings, and then detail how specific components of yoga practice may affect cognitive, emotional, behavioral, and autonomic output under stress through an emphasis on interoception and bottom-up input, resulting in physical and psychological health. The model describes yoga practice as a comprehensive skillset of synergistic process tools that facilitate bidirectional feedback and integration between high- and low-level brain networks, and afferent and re-afferent input from interoceptive processes (somatosensory, viscerosensory, chemosensory). From a predictive coding perspective we propose a shift to perceptual inference for stress modulation and optimal self-regulation. We describe how the processes that sub-serve self-regulation become more automatized and efficient over time and practice, requiring less effort to initiate when necessary and terminate more rapidly when no longer needed. To support our proposed model, we present the available evidence for yoga affecting self-regulatory pathways, integrating existing constructs from behavior theory and cognitive neuroscience with emerging yoga and meditation research. This paper is intended to guide future basic and clinical research, specifically targeting areas of development in the treatment of stress-mediated psychological disorders.
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