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2009.08689

Neuronal Oscillations on Evolving Networks: Dynamics, Damage, Degradation, Decline, Dementia, and Death

Alain Goriely, Ellen Kuhl, Christian Bick

incompletehigh confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:55 AM

Audit review

The paper formulates the coupled ODE system for c, q, and W on an evolving connectome (equations (1)–(3)) and argues from simulations that "damage does not slow down disease progression" (notably Fig. 2) but does not provide a rigorous small-time asymptotic proof of first-order independence from the damage parameters β and γ . The candidate solution supplies a coherent, detailed, and correct local-in-time analysis that shows c_{β,γ}(t) − c_{0,0}(t) = O(t^3), hence o(t), with explicit bounds under the model’s assumptions. Thus, the model’s solution is correct and fills a gap left by the paper’s qualitative/numerical treatment.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper compellingly couples an evolving-connectome diffusion–reaction model with damage-induced weight decay and resting-state dynamics, and presents robust simulations indicating that damage minimally affects invasion speed but significantly shapes later dynamical decline. However, it lacks a concise analytic statement and justification of the small-time independence of invasion from (β, γ). Adding such an argument would strengthen the mechanistic claims and improve rigor while keeping the paper accessible.