Evolution of Ideas about the Mechanisms of Neuronal Network Hyperactivation and Burst Firing in Epilepsy. Contribution of Potassium-Induced Activation of Potassium-Conducting Channels to Network Hyperactivation
IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
{"title":"Evolution of Ideas about the Mechanisms of Neuronal Network Hyperactivation and Burst Firing in Epilepsy. Contribution of Potassium-Induced Activation of Potassium-Conducting Channels to Network Hyperactivation","authors":"A. S. Galashin, M. V. Konakov, V. V. Dynnik","doi":"10.1134/S0006350924700726","DOIUrl":null,"url":null,"abstract":"<div><p>The existing concepts of the molecular mechanisms of pathological hyperexcitability and synchronization of neural networks in epileptogenesis, including potassium, GABA, membrane (cellular) and synaptic (network) models, are discussed. The focus of such models is the imbalance between excitation and inhibition involving numerous positive and negative feedback loops in neural networks. The paper considers modern concepts of (1) the reliability of dynamic systems with a large number of negative feedback loops and (2) the degeneracy, that is, the ability of heterogeneous elements (channels and currents) to replace each other, as the basis for the stable functioning of hyperexcitable networks in channelopathy and hyperexpression of various channels. The paper suggests a possible mechanism for the spontaneous occurrence of convulsive activity and accumulation of potassium in the intercellular space, based on the activation of a group of cationic channels (HCN, K<sub>ir</sub>2.x , hERG, Na<sub>v</sub>1.х, and BK<sub>Ca</sub>), which provides reliability and high sensitivity of epileptiform activity to external and internal factors due to degeneracy and formation of a group of connections of positive feedback loops.</p></div>","PeriodicalId":493,"journal":{"name":"Biophysics","volume":"69 4","pages":"639 - 648"},"PeriodicalIF":4.0330,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophysics","FirstCategoryId":"4","ListUrlMain":"https://link.springer.com/article/10.1134/S0006350924700726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0
Abstract
The existing concepts of the molecular mechanisms of pathological hyperexcitability and synchronization of neural networks in epileptogenesis, including potassium, GABA, membrane (cellular) and synaptic (network) models, are discussed. The focus of such models is the imbalance between excitation and inhibition involving numerous positive and negative feedback loops in neural networks. The paper considers modern concepts of (1) the reliability of dynamic systems with a large number of negative feedback loops and (2) the degeneracy, that is, the ability of heterogeneous elements (channels and currents) to replace each other, as the basis for the stable functioning of hyperexcitable networks in channelopathy and hyperexpression of various channels. The paper suggests a possible mechanism for the spontaneous occurrence of convulsive activity and accumulation of potassium in the intercellular space, based on the activation of a group of cationic channels (HCN, Kir2.x , hERG, Nav1.х, and BKCa), which provides reliability and high sensitivity of epileptiform activity to external and internal factors due to degeneracy and formation of a group of connections of positive feedback loops.
BiophysicsBiochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍:
Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.