Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Health Is Not Balance, but Recoverability: The Body as a Collective Phase Field

Authors: Gyurine;

Health Is Not Balance, but Recoverability: The Body as a Collective Phase Field

Abstract

This work proposes a phase-oriented framework for understanding health and disease in biological systems, redefining health not as static equilibrium, but as reversibility—the capacity of a multi-scale biological collective to traverse perturbations without becoming rigidly locked into pathological regimes. Rather than organizing pathology by organs, molecular markers, or symptom severity, the framework interprets disease as a loss of accessible phase transitions across interacting regulatory dimensions. Drawing on concepts from systems biology, collective dynamics, and regulatory theory, the body is modeled as a layered biological collective composed of cellular, microbial, immune, neuroendocrine, and metabolic subsystems. Three qualitative phase regimes—Water, Mercury, and Iron—are introduced to characterize regulatory behavior. Acute instability, adaptive coordination, and pathological fixation are distinguished not by symptom intensity, but by variability, coordination structure, and reversibility. Health corresponds to a Mercury-like regime in which coordination is sufficient for integration without suppressing adaptive freedom. To operationalize this perspective, the IPCSALT framework (Awareness, Control, Sociality, Prediction, Loop, Transition) is mapped onto biological regulation, providing a functional decomposition of reversibility. Disease progression is reinterpreted as structured phase failure modes, including awareness collapse, regulatory runaway, rigidity, resonance lock, phase inversion, and predictive misalignment. The paper further introduces a minimal formalization of phase dynamics and reversibility, emphasizing conceptual clarity over mathematical completeness. Recovery dynamics, hysteresis, diversity loss, and response repertoire are identified as proxy indicators of regulatory flexibility, enabling empirically testable predictions. Importantly, this framework is not intended as a clinical replacement or diagnostic tool. It functions as a meta-coordinate system for interpretation, aimed at clarifying treatment resistance, silent disease progression, timing-dependent intervention effects, and cross-domain coupling between physiological and psychological regulation. Ethical considerations and limitations are explicitly addressed to prevent misuse or deterministic interpretation. Finally, the work outlines a conceptual roadmap extending reversibility and phase dynamics beyond physiology, proposing continuity between bodily regulation and consciousness as collective phase phenomena. This establishes a foundation for subsequent research on consciousness, cognition, and collective awareness within a unified phase-field perspective.

Keywords

regulatory dynamics, biological collectives, reversibility, recovery dynamics, health and disease, systems biology, IPCSALT, collective systems, complex systems, phase dynamics

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green