A First-Order Mechanical Device to Model Traumatized Craniovascular Biodynamics.

Area of Science:

• Biomechanics
• Physiology
• Medical Engineering

Background:

• Existing mathematical models explore intracranial function, but mechanical models for adaptive traumatic brain injury (TBI) responses are limited.
• Understanding the biomechanical factors of dynamic intracranial physiology is crucial for TBI research.

Purpose of the Study:

• To describe a novel first-order physical model designed to investigate the complex biomechanical factors of dynamic intracranial physiology.
• To simulate interactions between cranial components, including brain tissue, cerebrospinal fluid, and vasculature.

Main Methods:

• A unidirectional flow device was constructed using materials simulating cranial properties and adult human physiology (650 ml/min flow rate).
• The model incorporates a mechanism for autoregulatory vessel dynamics and measures intracranial pressures under various simulated conditions.
• Simulations included scenarios with and without brain tissue swelling, vasodilation/constriction, and head-of-bed position changes.

Main Results:

• All tested independent variables significantly influenced measured fluid pressures within the model (p < 0.0001).
• The vasoconstriction mechanism also demonstrated a statistically significant impact (p = 0.0255).

Conclusions:

• The developed physical model serves as a foundational realization linking mathematical and mechanical modeling approaches for intracranial dynamics.
• Future iterations promise deeper insights into TBI and a unified framework for TBI research, integrating mathematical models, injury mechanics, and clinical data.