The study demonstrates a minimal model linking neural oscillations to structural stability, suggesting new insights.
Structural Medicine v3.6 extends the framework from physical correspondence toward a minimal cross-scale coupling model linking fast neural oscillations and slow structural stabilization. Structural Medicine v3.5 established a formal correspondence between adaptive control signals and transcranial alternating current stimulation (tACS), while identifying the cross-scale coupling problem — how fast neural oscillations (~40 Hz) influence slow structural instability (~0.05 yr⁻¹) — as the central unresolved theoretical limitation. This work proposes a minimal envelope-mediated pathway: Fast oscillation→ Envelope-mediated coupling→ Slow structural stabilization The central hypothesis is that fast oscillatory modulation does not directly suppress structural instability. Instead, modulation acts through an envelope-mediated process that gradually alters slow structural dynamics. A Two-Layer Modulation Model (TLMM) is introduced: k_eff(t) = k_0 + α · ⟨E⟩_τ(t) where: k_eff(t) is effective structural stiffness α is the cross-scale coupling coefficient ⟨E⟩_τ(t) is the entrainment envelope averaged across the cross-scale time constant τ_c The framework formalizes four minimal components: Fast-to-slow envelope coupling Envelope-mediated suppression of R(t) A phase-lock threshold φ_crit required for effective stabilization Finite temporal delay Δτ between modulation and structural response Four new falsifiable predictions are derived: τ_c dependence α proportionality φ_crit stratification k–ε separability The model is intentionally minimal and avoids strong mechanistic overclaiming. Biological grounding is discussed through candidate pathways involving gamma-driven glial activation and synaptic long-term potentiation (LTP). Figures 1–4 provide synthetic demonstrations of: coupling emergence instability suppression phase-lock threshold behavior cross-scale temporal delay The framework converts the cross-scale coupling problem from an open conceptual gap into a testable theoretical structure.
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Koji Okino (2026) studied this question.
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