{"title":"耦合中间神经元的周期多稳定性和同步机制:电流刺激下的同相和反相动力学","authors":"Jan Ševčík, Lenka Přibylová","doi":"10.1016/j.amc.2025.129500","DOIUrl":null,"url":null,"abstract":"<div><div>Over the last decade, high-frequency oscillations (HFOs), very high-frequency oscillations (VHFOs), and ultra-fast oscillations (UFOs) have been proposed as possible biomarkers for epileptogenic zones in individuals with drug-resistant epilepsy. Despite considerable interest, the mechanisms responsible for producing such high frequencies, significantly surpassing the physiological limits of neuronal firing, remain an open question. Using concepts from bifurcation theory, we extend our mathematical framework for modeling the emergence of apparent VHFOs, which might eventually manifest in depth electroencephalographic (EEG) signals, by incorporating an external stimulus responsible for subsequent frequency multiplication. Focusing on the dynamics of two gap-junctionally coupled interneurons, this research provides a detailed analysis of multistable regions, along with an extensive description of possible dynamical regimes associated with external current stimulation, analogous to the frequency-input curve for a single interneuron. In particular, we describe the ability of the stimulus to activate and deactivate oscillation modes in anti-phase or in-phase, including their mutual interchange. Finally, we apply this framework to analyze a collective response of a large heterogeneous two-layer network.</div></div>","PeriodicalId":55496,"journal":{"name":"Applied Mathematics and Computation","volume":"503 ","pages":"Article 129500"},"PeriodicalIF":3.5000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cycle multistability and synchronization mechanisms in coupled interneurons: In-phase and anti-phase dynamics under current stimuli\",\"authors\":\"Jan Ševčík, Lenka Přibylová\",\"doi\":\"10.1016/j.amc.2025.129500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Over the last decade, high-frequency oscillations (HFOs), very high-frequency oscillations (VHFOs), and ultra-fast oscillations (UFOs) have been proposed as possible biomarkers for epileptogenic zones in individuals with drug-resistant epilepsy. Despite considerable interest, the mechanisms responsible for producing such high frequencies, significantly surpassing the physiological limits of neuronal firing, remain an open question. Using concepts from bifurcation theory, we extend our mathematical framework for modeling the emergence of apparent VHFOs, which might eventually manifest in depth electroencephalographic (EEG) signals, by incorporating an external stimulus responsible for subsequent frequency multiplication. Focusing on the dynamics of two gap-junctionally coupled interneurons, this research provides a detailed analysis of multistable regions, along with an extensive description of possible dynamical regimes associated with external current stimulation, analogous to the frequency-input curve for a single interneuron. In particular, we describe the ability of the stimulus to activate and deactivate oscillation modes in anti-phase or in-phase, including their mutual interchange. Finally, we apply this framework to analyze a collective response of a large heterogeneous two-layer network.</div></div>\",\"PeriodicalId\":55496,\"journal\":{\"name\":\"Applied Mathematics and Computation\",\"volume\":\"503 \",\"pages\":\"Article 129500\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematics and Computation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0096300325002267\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Computation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0096300325002267","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Cycle multistability and synchronization mechanisms in coupled interneurons: In-phase and anti-phase dynamics under current stimuli
Over the last decade, high-frequency oscillations (HFOs), very high-frequency oscillations (VHFOs), and ultra-fast oscillations (UFOs) have been proposed as possible biomarkers for epileptogenic zones in individuals with drug-resistant epilepsy. Despite considerable interest, the mechanisms responsible for producing such high frequencies, significantly surpassing the physiological limits of neuronal firing, remain an open question. Using concepts from bifurcation theory, we extend our mathematical framework for modeling the emergence of apparent VHFOs, which might eventually manifest in depth electroencephalographic (EEG) signals, by incorporating an external stimulus responsible for subsequent frequency multiplication. Focusing on the dynamics of two gap-junctionally coupled interneurons, this research provides a detailed analysis of multistable regions, along with an extensive description of possible dynamical regimes associated with external current stimulation, analogous to the frequency-input curve for a single interneuron. In particular, we describe the ability of the stimulus to activate and deactivate oscillation modes in anti-phase or in-phase, including their mutual interchange. Finally, we apply this framework to analyze a collective response of a large heterogeneous two-layer network.
期刊介绍:
Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.
In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.