Follicular Coherence Index: A Computational Twin for Hair Aging as Loss of Regenerative Propagation

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Main Author: Mitchell , Thomas S.
Format: Recurso digital
Language:English
Published: Zenodo 2026
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author Mitchell , Thomas S.
author_facet Mitchell , Thomas S.
contents <p>This paper introduces the Follicular Coherence Index (FCI), a systems-level metric for quantifying regenerative propagation coherence in hair follicle networks. Using a computational twin consisting of coupled excitable follicular units, the study explores whether visible hair aging — including graying, thinning, and regenerative decline — can emerge from loss of inter-follicular propagation coherence.<br>Across three iterative falsification cycles, the model demonstrates that reduced coupling reproduces declines in propagation competence and regenerative synchrony, while combined restoration of coupling and intrinsic decay parameters is required for full rescue of pigment and stem-cell reserve. Phase diagrams reveal recoverable and non-recoverable regions, producing a modeled “point-of-no-return” boundary for coupling-based rescue.<br>The work does not claim proof of biological causality, but provides a falsifiable computational framework for experimentally testing the role of propagation coherence in hair aging.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20299920
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
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spellingShingle Follicular Coherence Index: A Computational Twin for Hair Aging as Loss of Regenerative Propagation
Mitchell , Thomas S.
Hair aging, follicular coherence index, FCI, regenerative propagation, hair graying, hair thinning, stem-cell exhaustion, melanocyte stem cells, computational biology, systems biology, excitable media, propagation coherence, tissue synchronization, regenerative aging, hair follicle dynamics, aging networks, phase transition, computational twin, regenerative signaling, multicellular coordination, synchronization failure, propagation collapse, tissue aging, biological oscillators
<p>This paper introduces the Follicular Coherence Index (FCI), a systems-level metric for quantifying regenerative propagation coherence in hair follicle networks. Using a computational twin consisting of coupled excitable follicular units, the study explores whether visible hair aging — including graying, thinning, and regenerative decline — can emerge from loss of inter-follicular propagation coherence.<br>Across three iterative falsification cycles, the model demonstrates that reduced coupling reproduces declines in propagation competence and regenerative synchrony, while combined restoration of coupling and intrinsic decay parameters is required for full rescue of pigment and stem-cell reserve. Phase diagrams reveal recoverable and non-recoverable regions, producing a modeled “point-of-no-return” boundary for coupling-based rescue.<br>The work does not claim proof of biological causality, but provides a falsifiable computational framework for experimentally testing the role of propagation coherence in hair aging.</p>
title Follicular Coherence Index: A Computational Twin for Hair Aging as Loss of Regenerative Propagation
topic Hair aging, follicular coherence index, FCI, regenerative propagation, hair graying, hair thinning, stem-cell exhaustion, melanocyte stem cells, computational biology, systems biology, excitable media, propagation coherence, tissue synchronization, regenerative aging, hair follicle dynamics, aging networks, phase transition, computational twin, regenerative signaling, multicellular coordination, synchronization failure, propagation collapse, tissue aging, biological oscillators
url https://doi.org/10.5281/zenodo.20299920