Migraine is a highly disabling and complex neurological disorder with global impact.The rela-tively complex mechanism of migraine prediction and regulation has become a basic scientific problem re-stricting 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 spatio-temporal scales.However,research literature on the dynamics of migraines is very limited and lacks a u-nified 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 for-ward to the research ideas and issues that should be paid attention to in data-driven dynamic modeling a-nalysis,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
Key words
migraine/cortical spreading depression/neurovascular coupling/reaction-diffusion/neurofeedback and regulation
维普
万方数据