2007.00079
Normalized Connectomes Show Increased Synchronizability with Age Through Their Second Largest Eigenvalue
Wilten Nicola, Sue Ann Campbell
correctmedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:55 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper explicitly derives the synchronized single-node dynamics under L1 normalization (equations (27)–(29)) and the block-diagonal variational equations (39)–(41) via diagonalizing WEE, with parameters r_k = r̂_k/WE in one-to-one correspondence with the eigenvalues of the normalized LEE, and then evaluates stability by a Master Stability Function over r, exactly matching the model’s Part (a) construction and criterion . The paper further reports that near Hopf, λ_max(r) becomes positive for sufficiently large |r| and that for sufficiently large WE, λ_max(r) ≤ 0 for all |r| < 1, and links loss of synchrony to large SLE magnitude; these points align with the model’s Parts (b)–(c), which provide the same logic plus a normal-form justification near Hopf . The paper’s global SLE statements are presented empirically rather than as theorems, while the model’s writeup notes additional assumptions; nevertheless, the core derivation and stability criterion coincide.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions
\textbf{Journal Tier:} specialist/solid
\textbf{Justification:}
The study adapts the MSF framework to an L1-normalized coupling relevant to neural systems with homeostatic inhibition, derives the correct block-diagonal variational form, and demonstrates a clear spectral criterion that matches simulations across synthetic and empirical connectomes. The core theory is sound; strengthening with explicit theorem statements and a brief analytical account near Hopf would improve rigor and clarity.