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.
migrainecortical spreading depressionneurovascular couplingreaction-diffusionneurofeedback and regulation
万方数据
维普
