偏头痛发作动力学与控制  

Dynamics and Control of Migraine Attack

作　　者：何畅 樊登贵 王艳 王青云[2] He Chang;Fan Denggui;Wang Yan;Wang Qingyun(School of Mathematics and Physics,University of Science and Technology Beijing,Beijing 100083,China;School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China)

机构地区：[1]北京科技大学数理学院,北京100083 [2]北京航空航天大学航空科学与工程学院,北京100191

出　　处：《动力学与控制学报》2024年第7期1-12,共12页Journal of Dynamics and Control

基　　金：国家自然科学基金资助项目(12372061,12332004)。

摘　　要：偏头痛是严重致失能且全球影响广泛的复杂脑神经系统疾病,其发作预测与调节机理错综复杂,成为限制偏头痛临床诊疗规范化的一个基础性科学难题.相关的实验观测数据表明偏头痛发作过程显示出明显的多时空尺度非线性波动行为,然而目前有关偏头痛动力学的研究文献非常有限,理解偏头痛发作机理的统一理论框架仍然缺乏.本文综述了近年来偏头痛动力学建模分析与控制的研究进展,重点阐述了偏头痛先兆即皮质扩散性抑制波(CSD)传播的环路动力学行为及其分岔机理,以及偏头痛调控方案设计与疗效评估的神经计算方法,结合偏头痛理论研究现状展望了数据驱动的动力学建模分析、预测与调控策略的研究思路及其若干值得关注的问题.Migraine is a highly disabling and complex neurological disorder with global impact.The relatively complex mechanism of migraine prediction and regulation has become a basic scientific problem restricting the standardization of clinical diagnosis and treatment of migraine.Related experimental data shows that the process of migraine exhibits significant nonlinear fluctuation behavior on multiple spatiotemporal scales.However,research literature on the dynamics of migraines is very limited and lacks a unified theoretical framework to understand the mechanisms of migraine.This article reviews the research progress in migraine dynamics modeling,analysis,and control strategies in recent years,with a focus on the neurocircuit dynamics behavior and bifurcation mechanism of cortical spreading depression(CSD)propagation,as well as the neural computing methods for the design of migraine regulation scheme and the evaluation of efficacy.Based on the current research status of migraine theory,this paper looks forward to the research ideas and issues that should be paid attention to in data-driven dynamic modeling analysis,prediction,and regulation strategies.

关 键 词：偏头痛 皮质扩散性抑制波CSD 神经血管耦合 反应扩散 神经反馈与调控 

分 类 号：O313[理学—一般力学与力学基础] O193[理学—力学]