12-23【徐士鑫】五教5505 科学计算系列报告

发布者:卢珊珊发布时间:2024-12-18浏览次数:10


报告题目:Multidomain Model for Optic Nerve Microcirculation: Roles of Glial Cells and Perivascular Spaces


报告人:徐士鑫,昆山杜克大学


报告时间:1223日 10:00-11:00


报告地点:五教5505


摘要:

The accumulation of potassium in the extracellular space surrounding nerve cells is a fundamental aspect of biophysics that has garnered significant attention in recent research. This phenomenon holds implications for various neurological conditions, including spreading depression, migraine, certain types of epilepsy, and potentially, learning processes. A quantitative analysis is essential for understanding the dynamics of potassium clearance following a series of action potentials. This clearance process involves multiple structures along the nerve, including glia, the extracellular space, axons, and the perivascular space, necessitating a spatially distributed systems approach akin to the cable equations of nerve physiology. In this study, we propose a multi-domain model for the optic nerve to investigate potassium accumulation and clearance dynamics. The model accounts for the convection, diffusion, and electrical migration of fluid and ions, revealing the significant roles of glia and the perivascular space in potassium buffering. Specifically, our findings suggest that potassium clearance primarily occurs through convective flow within the syncytia of glia, driven by osmotic pressure differences. Additionally, the perivascular space serves as a crucial pathway for potassium buffering and fluid circulation, further contributing to the overall clearance process. Importantly, our model's adaptability allows for its application to diverse structures with distinct channel and transporter distributions across the six compartments, extending its utility beyond the optic nerve.


个人简介:

徐士鑫, 昆山杜克大学数学助理教授(副研究员),中国科学技术大学博士。先后在新加坡国立大学,美国圣母大学,加州大学河滨分校以及加拿大菲尔兹数学研究所做博士后。主要研究糖尿病等慢性病以及计算机内存风险分析预测, 复杂流体建模和脑神经血管耦合。