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April 22, 20260 citationsOpen Access

Structural Medicine v1.0: Disease as a Breakdown of Structural Fixation in Integrated Structural Generation Theory (IGS)

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KOKoji Okino

Key Points

  • This work aims to redefine disease from a structural perspective, framing it as a transition rather than a component failure.
  • Introduced a framework of Integrated Structural Generation Theory to classify disease states.
  • Mapped structural variables to measurable clinical observables using imaging, network activity, and cognitive tests.
  • Developed a dynamic model to describe disease progression and structural changes over time.
  • Proposed that disease manifestations correlate with structural fixation loss and changes in connectivity.
  • Provided a model predicting that structural transitions lead to measurable changes in clinical observables.
  • Established a direct link between theoretical frameworks and empirical data through observable metrics.

Abstract

This work introduces Structural Medicine v1.0, a minimal and falsifiable framework that redefines disease as a structural transition rather than a failure of components. Within the framework of Integrated Structural Generation Theory (IGS), biological systems are described through the generative chain: Difference → Fixation → Information → Meaning → Time The central proposal is: “Disease is not a failure of components, but a transition of structure.” In this formulation, disease corresponds to the breakdown of persistent structural fixation under irreversible differentiation, formally expressed as: dF/dt < 0 A minimal dynamic model is given by: F(t) = F₀ exp(-λt) The framework further introduces a structural classification of disease states, distinguishing between fixation loss, connectivity loss, and local overgrowth. To ensure direct falsifiability, structural variables are mapped to measurable clinical observables, including imaging (MRI/CT), network activity (EEG/fMRI), longitudinal markers, and cognitive tests. Crucially, disease progression is interpreted as a measurable drift in these observables over time, linking theoretical structure to empirical data. This work provides a unified structural interpretation of biological, cognitive, and clinical systems, offering a new conceptual foundation for understanding disease.

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Cite This Study

Koji Okino (2026) studied this question.

synapsesocial.com/papers/69e866ad6e0dea528ddeb0d6https://doi.org/10.5281/zenodo.19663695
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