Structured Abstract Background Traumatic brain injury (TBI) affects over 69 million people annually worldwide and is the leading cause of death and disability in adults under 40. The dominant explanatory framework — Cumulative Injury Determines Encephalopathy (CIDE) — holds that outcome is primarily determined by accumulated damage: impact count, diffuse axonal injury (DAI) burden, post-injury neuroinflammatory biomarkers (NfL, GFAP), and APOE ε4 genotype. Despite decades of refinement, damage-side models leave substantial outcome variance unexplained; the transition from acute post-concussive syndrome to persistent post-concussive disorder remains unpredictable; and the selection mechanism for chronic traumatic encephalopathy (CTE) among high-exposure athletes is unresolved. Gap The tradition has a complete account of what TBI does to the brain. It has no account of what property of the pre-injury brain determines its capacity to absorb and reorganise around distributed damage — a property architecturally encoded before the first impact and operating as a transfer function between injury input and functional outcome. This structural silence is not a quantitative inadequacy; it requires a different explanatory object measurable before any injury event. Approach We introduce the SRCT-TBI framework, which identifies the pre-injury connectome's Topological Redundancy Index (TRI) — the ratio of functionally non-equivalent alternative white-matter pathways across cognitive and motor networks — as an independently significant determinant of TBI recovery trajectory, PPCD transition, and CTE initiation risk. We derive the Named Binary CIDE vs SRCT-TBI, specify a pre-registerable CCS using athlete and military pre-injury baseline MRI, introduce a population SRC tier assignment (sTRI) pathway for general populations, derive the IGT Monitoring Principle with serial proximity functions (SRPI-TBI, sWMRI, CTDI) and a reformulated fₘin monitoring schedule using genuinely independent parameters, establish cross-domain structural invariance across five domains, and specify a causal identification strategy including a DAG, negative controls, and an instrumental variable proposal. Results SRCT-TBI resolves three anomalies that CIDE cannot: the mTBI severity paradox, the repetitive injury non-linearity, and the CTE selection paradox. Cross-domain structural invariance is confirmed in stroke neuroscience, ecology, materials science, immunology, and network engineering. Five first-order and two second-order consequences are derived. The CCS specifies falsification conditions testable in existing sports medicine and military pre-deployment imaging cohorts. Implications If confirmed, SRCT-TBI restructures return-to-play protocols as SRC-stratified rather than universally dosed, converts CTE risk assessment from exposure-count-based to architecture-based, provides the first individual-level blast exposure threshold for military personnel, and renders exposure-count-based causal attribution in TBI litigation architecturally invalid. Weil Protocol status: INCOMPLETE — L3 clinical, legal, and sports medicine review required before submission. Keywords: CIDE, SRCT-TBI, traumatic brain injury, structural reorganisation capacity, topological redundancy index, diffuse axonal injury, PPCD, CTE, return-to-play, blast exposure, APOE ε4, ALGUILAS-AI, IGT principle, pre-injury neuroimaging, synthetic TRI Method ALGUILAS-AI Dialectical Engine
José Caetano de Mattos (Wed,) studied this question.