{"title":"A new pathway for controlling absence seizures by reducing GABA uptake from astrocytes: a dynamical perspective","authors":"Jinyi Zhao , Qingyun Wang , Ying Yu","doi":"10.1016/j.cnsns.2025.108929","DOIUrl":null,"url":null,"abstract":"<div><div>Modeling studies associated with absence epilepsy often consider neural circuits and neglect the critical involvement of glial cells. Recently, the view that astrocytes are new targets for the treatment of epilepsy has received increasing attention. Based on the established basal ganglia-corticothalamic (BGCT) mean-field model involving glutamate (GLU) dynamics in the extracellular space of cerebral cortex, by introducing γ-aminobutyric acid (GABA) dynamical processes, we further extend the model and explore the effectiveness of inhibiting the GABA uptake from cortical astrocytes (<em>V</em><sub>gai</sub>) in controlling seizures induced by different triggers. The results show that reducing <em>V</em><sub>gai</sub> can control seizures to a certain extent, regardless of the neural triggers with two types of abnormal feedforward inhibition or the astrocytic triggers with insufficient glutamate uptake from astrocytes. Although no uniform conclusions are achieved by comparing the above measure for the control of seizures caused by different triggers, it is worth noting that the setting of the initial condition greatly affects the control rate of spike wave discharges (SWDs). Appropriate selection of initial values can make reducing GABA uptake from astrocytes more effective in eliminating SWDs. Our results provide a theoretical basis for the treatment of epilepsy by targeting astrocytes from a dynamical perspective.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108929"},"PeriodicalIF":3.8000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425003405","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Modeling studies associated with absence epilepsy often consider neural circuits and neglect the critical involvement of glial cells. Recently, the view that astrocytes are new targets for the treatment of epilepsy has received increasing attention. Based on the established basal ganglia-corticothalamic (BGCT) mean-field model involving glutamate (GLU) dynamics in the extracellular space of cerebral cortex, by introducing γ-aminobutyric acid (GABA) dynamical processes, we further extend the model and explore the effectiveness of inhibiting the GABA uptake from cortical astrocytes (Vgai) in controlling seizures induced by different triggers. The results show that reducing Vgai can control seizures to a certain extent, regardless of the neural triggers with two types of abnormal feedforward inhibition or the astrocytic triggers with insufficient glutamate uptake from astrocytes. Although no uniform conclusions are achieved by comparing the above measure for the control of seizures caused by different triggers, it is worth noting that the setting of the initial condition greatly affects the control rate of spike wave discharges (SWDs). Appropriate selection of initial values can make reducing GABA uptake from astrocytes more effective in eliminating SWDs. Our results provide a theoretical basis for the treatment of epilepsy by targeting astrocytes from a dynamical perspective.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.