Developing a Fluid-Structure Interaction Model via Cerebroporomechanics and Its Experimental Verification via an Ischaemic Stroke

In this study, we conducted simulations of different brain models and related experimental observations, which have significant implications for a deeper understanding of brain function and disease research.
First, we simulated a two-dimensional brain fluid coupling model. This model considers the elastic properties of brain tissue and the flow of cerebrospinal fluid. Through numerical simulations, we observed the deformation of brain tissue under periodic conditions, pressure variations between different fluid networks, and the velocity and pressure distribution of cerebrospinal fluid circulation. These results are crucial for understanding the interaction between cerebrospinal fluid circulation and brain parenchyma.
Next, we completed a simulation study of a threedimensional multi-network porous elastic mechanical brain simplification model. This model is more complex and considers the porous structure within the brain and connections between different fluid compartments. These structures are essential for the mechanical properties of the brain and interactions between cells. Through this model, we observed brain parenchymal displacement and pressure distribution in the healthy human brain. Subsequently, we presented the simulation results of a three-dimensional mouse brain. By establishing a threedimensional model of the mouse brain, we can bridge the gap between numerical models and animal experiments. We will demonstrate the changes in periventricular pressure under health conditions and ischemic stroke in the mouse brain. Finally, we discussed the results of brain imaging observations and intracranial pressure measurements in ischemic stroke rats. Stroke is a severe neurological disorder, and through simulations and experiments, we aim to understand the changes in brain tissue and pressure during the stroke process. This will benefit the development of more effective stroke treatment strategies. These simulation results and experimental observations provide us with a deep understanding of brain function and related diseases, as well as valuable references for future research and treatment. However, there is room for improvement in constructing the three-dimensional fluidstructure coupling model, and our team will require some additional time to make necessary revisions and enhancements. We look forward to the outcomes of future research, which will serve as a significant reference point in the field of medicine and contribute to the overall well-being of humanity.