Percolation and Threshold-like Behavior in Multiple Sclerosis Progression

Fuente: arXiv
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Auteurs principaux: Mirkov, Nikola, Radivojević, Dušan S., Maletić, Slobodan
Format: Preprint
Publié: 2026
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author Mirkov, Nikola
Radivojević, Dušan S.
Maletić, Slobodan
author_facet Mirkov, Nikola
Radivojević, Dušan S.
Maletić, Slobodan
contents In this study we investigate the Percolation Hypothesis for Multiple Sclerosis Progression. The methodology relies on cross-reference analysis centered around a question: What is the evidence for a Percolation/phase-transition hypothesis in Multiple Sclerosis (MS), especially the idea that the RRMS dynamic balance can abruptly break akin to crossing a percolation threshold into SPMS? We identify theoretical models invoking percolation/critical thresholds, network/connectome studies assessing percolation robustness or threshold-like behavior, clinical markers showing thresholds or early-warning signals, and counter-evidence arguing for gradual/continuum transitions.
format Preprint
id arxiv_https___arxiv_org_abs_2602_08576
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Percolation and Threshold-like Behavior in Multiple Sclerosis Progression
Mirkov, Nikola
Radivojević, Dušan S.
Maletić, Slobodan
Disordered Systems and Neural Networks
In this study we investigate the Percolation Hypothesis for Multiple Sclerosis Progression. The methodology relies on cross-reference analysis centered around a question: What is the evidence for a Percolation/phase-transition hypothesis in Multiple Sclerosis (MS), especially the idea that the RRMS dynamic balance can abruptly break akin to crossing a percolation threshold into SPMS? We identify theoretical models invoking percolation/critical thresholds, network/connectome studies assessing percolation robustness or threshold-like behavior, clinical markers showing thresholds or early-warning signals, and counter-evidence arguing for gradual/continuum transitions.
title Percolation and Threshold-like Behavior in Multiple Sclerosis Progression
topic Disordered Systems and Neural Networks
url https://arxiv.org/abs/2602.08576