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
- arXiv Links
- Abstract ↗PDF ↗
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.