Meta-Pathology Framework of Alzheimer's Disease_ Multi-Scale Homeostatic Failure (MSHF) Elevated by UROA, STCT, and RQIG

Moving decisively beyond the reductionist limitations of the classical amyloid cascade hypothesis [1], this paper presents the rigorous Multi-Scale Homeostatic Failure (MSHF) framework. By sublimating Alzheimer's pathogenesis into the foundational formalisms of Universal Rough Operator Algebra (UROA), the Seonggil Theory of Composite Torsion (STCT), and Rough Quantum Information Geometry (RQIG), we redefine neurodegeneration not as a simple single-molecule cascade, but as a sequential topological collapse of macroscopic network predictive capacity (Φ_pred). We mathematically demonstrate that protein aggregation is a UROA topological entrapment, neuroinflammation is an STCT torsional tearing of the connectome, and profound cognitive decline is the direct destruction of RQIG information geodesics.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-05
DOI
https://doi.org/10.5281/zenodo.23160607
Primary Topic
Alzheimer's disease research and treatments
Type
preprint
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preprint

Meta-Pathology Framework of Alzheimer's Disease_ Multi-Scale Homeostatic Failure (MSHF) Elevated by UROA, STCT, and RQIG

Seonggil Lee
Zenodo (CERN European Organization for Nuclear Research)
Alzheimer's disease research and treatments
preprint

Meta-Pathology Framework of Alzheimer's Disease_ Multi-Scale Homeostatic Failure (MSHF) Elevated by UROA, STCT, and RQIG

Seonggil Lee
preprint en

Abstract

Moving decisively beyond the reductionist limitations of the classical amyloid cascade hypothesis [1], this paper presents the rigorous Multi-Scale Homeostatic Failure (MSHF) framework. By sublimating Alzheimer's pathogenesis into the foundational formalisms of Universal Rough Operator Algebra (UROA), the Seonggil Theory of Composite Torsion (STCT), and Rough Quantum Information Geometry (RQIG), we redefine neurodegeneration not as a simple single-molecule cascade, but as a sequential topological collapse of macroscopic network predictive capacity (Φ_pred). We mathematically demonstrate that protein aggregation is a UROA topological entrapment, neuroinflammation is an STCT torsional tearing of the connectome, and profound cognitive decline is the direct destruction of RQIG information geodesics.

Zenodo (CERN European Organization for Nuclear Research)
Alzheimer's disease research and treatments
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