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摘要 Clinical medicine and experiments have shown that electrophysiological activities on neuronal disease systems such as the epilepsy and Parkinson can exhibit the evolutions of complex dynamical behaviors and their transitions, which are closely related to the generation mechanism of neuronal diseases. Traditionally, electrophysiological activities have been analyzed from the statistical methods. Although some ideal results have been obtained, mechanisms of complex electrophysiological activities in neuronal systems cannot yet be disclosed. Dynamics modelling can help researchers to explore the mechanisms of electro- physiological activities of neuronal disease systems. By constructing reasonable physiological dynamical model, inner relation between the dynamics model and representation behaviors of the neuronal disease systems can be further studied. In addition, based on the constructed network model, we can also explore mechanisms of the evolutions of dynamical behaviors and their transitions of the initiation, propagation and termination of different kinds of the seizures. Finally, we can design the feasible control method to regulate dynamics behaviors of the seizures so as to realize the healthy neuronal firings.
作者 WANG QingYu
出处 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2017年第7期965-965,共1页 中国科学(技术科学英文版)
关键词 epilepsy neuronal dynamical seizures astrocyte Preface transitions cortical distinguish neuroscience 神经系统疾病 电生理活动 动力学行为 动力学模型 神经元活动 神经疾病 医学临床 统计方法
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