Abstract for:Computational Model for Traumatic Brain Injury

A computational model calculates recovery trajectories following traumatic brain injury (TBI). Prior publications include a multi-scale framework for studying concussion, and a systems-level causal loop diagram (CLD) and discussion of feedback processes. Model scope expanded to all severities of TBI and made operational by developing plausible equations and parameter values. While highly speculative the model serves to demonstrate the capability of computational models in this context. More research will be needed to transition model to a properly supported research model for precision-medicine or clinical trial design. Model contains 13 state variables representing TBI pathology at the cellular, network, cognitive, and social levels. There are nearly 300 feedback loops. Exogenous parameters include patient and injury characteristics, treatments and time constants for recovery processes. Model testing has focused on reviewing the model structure with subject matter experts and sensitivity to the various injury characteristics and recovery time constants; more testing is needed.The model produces recovery trajectories varying from quick or slow recovery with no deficits, to partial recovery, or the patient becoming “stuck” in a pathological state. Counterintuitive results are also seen. The full conference paper will be submitted before the conference and could be presented in parallel or poster session.