Evidence map›Paper›PMID 42495599›Full record

ArticleFrontiers in network physiology2026

Empirically constrained order parameter dynamics in cardiovascular criticality: a synergetic Langevin framework for arrhythmic transitions with cross-cohort parameter estimation and Kramers escape-time validation.

Hiroyuki Okabe

Abstract read
In one paragraph

Article in Frontiers in network physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Hiroyuki OkabeIndependent Researcher, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This companion empirical study established fundamental heterogeneity in pre-arrhythmic dynamical pathways across nine PhysioNet cohorts (N > 1,500 records): 93%-98% of events do not follow the canonical suppress-to-late-rise trajectory, Phase V (scaling manifold collapse, R Methods: A coupled Langevin system, grounded in Haken's synergetic order-parameter formalism, is reduced to dψ/dt = A (R Results: Rc = 0.991, a Conclusion: This study provides the first formal dynamical framework for the ECSoC empirical markers, deriving the pitchfork bifurcation structure of cardiovascular criticality from the first principles approach and validating it against cross-cohort data and stochastic simulations. The model is structurally validated across analytical, simulation, and empirical domains, with quantitative constraints in the large-noise regime delineating the boundary conditions for Kramers-based approximations. Six falsifiable predictions (P1-P6) define the roadmap for prospective quantitative validation.

Indexed as

criticalityorder parameter dynamicspitchfork bifurcationself-organizationstochastic dynamical systemssynergetics

Identifiers

PMID42495599
PMCPMC13391250

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.