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Whole-Brain Models of Advanced Concentrative Absorption Meditation: Approaching Critical Dynamics through Jhāna

Jakub Vohryzek, Edmundo Lopez-Sola, Winson F.z. Yang, Yonatan Sanz Perl, Ruby M. Potash, Ruben E. Laukkonen, Terje Sparby, Morten L. Kringelbach, Giulio Ruffini, Gustavo Deco, Matthew D. Sacchet

bioRxiv September 25, 2025 preprint DOI: 10.1101/2025.09.25.678574

Summary

AI-generated from the abstract

Advanced concentrative absorption meditation (jhāna) produces a shift in brain dynamics toward near-criticality, a state of heightened flexibility and integration. Using 7T fMRI and whole-brain modeling, the study found that later absorption states, considered minimal phenomenal experiences, show increased large-scale functional integration and a shift of the default mode network from a noise-driven regime to near-critical dynamics. This near-critical regime is interpreted as a form of openness, where constrained brain activity gives way to greater flexibility, correlating with broader attention and reduced narrative thought. The trajectory of these states is non-linear, with major reconfigurations at key meditative milestones.

Study at a glance

Characteristics Observational study with neurophenomenology and whole-brain modeling
Population Advanced practitioners of jhāna meditation
Key finding Later jhāna states, candidates for minimal phenomenal experience, show increased large-scale functional integration and a shift of default mode network dynamics toward near-criticality.

Abstract

Advanced meditation offers a powerful lens for investigating consciousness and for understanding how sustained training may contribute to human flourishing. In the spirit of neurophenomenology, we combine first-person reports with model-free empirical analyses and formal whole-brain modeling to investigate the mechanisms underlying advanced meditative states and minimal phenomenal experience (MPE). Specifically, we focus on jhāna meditation, a type of advanced concentrative absorption meditation (ACAM-J). Advanced practitioners accessed the eight ACAM-J states during ultra-high-field 7T functional magnetic resonance imaging. For each state, we first characterize empirical functional connectivity and then build a mechanistic whole-brain model that reproduces brain activity by modeling the dynamical regimes of different brain networks. We found that the later ACAM-J states, taken here as candidates for MPE, show increased large-scale functional integration and a shift of functional network dynamics toward near-critical working points. The default mode network (DMN) exhibits the largest shift, from a distant noise-driven regime during the control condition to near-critical dynamics during ACAM-J. We also observed that the trajectory of ACAM-J states is non-linear, with prominent reconfigurations at key meditative milestones. Our results suggest that MPE, as instantiated in later ACAM-J states, corresponds to a globally susceptible state where near-critical dynamics dominate. We interpret this near-critical regime as a form of "openness", in which constrained and differentiated patterns of brain activity give way to greater flexibility. In particular, increased DMN susceptibility is correlated with broader attention and reduced narrative thought, consistent with a more flexible mode of self-related processing. In this context, advanced meditation provides a powerful model for studying how sustained contemplative practice can profoundly shape brain dynamics and provide a window into core aspects of consciousness.

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