通过同步相移的相互作用,神经元的弱耦合实现了极高频率和超快速振荡

IF 3.6 3区 医学 Q2 NEUROSCIENCES
Lenka Přibylová, Jan Ševčík, V. Eclerová, Petr Klimeš, M. Brázdil, Hil Meijer
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引用次数: 0

摘要

近十年来,在耐药癫痫患者中报道了高频振荡(HFOs)、甚高频振荡(VHFOs)和超快振荡(UFOs)。然而,直到今天,这些事件的生理起源还没有被理解。本研究建立了一个基于分岔理论的数学框架,用于研究局灶性癫痫患者深度脑电图信号中VHFOs和UFOs的发生,重点研究癫痫灶中神经元连接强度降低的潜在作用。我们证明了弱耦合网络的同步可以产生被附近的微电极检测到的甚高频和超高频信号。特别地,我们证明了双稳区使相移同步神经元簇的持久性。这一现象在不同的海马神经元模型中被观察到,包括Morris-Lecar、destexhe - par和中间神经元模型。该机制似乎对小耦合具有鲁棒性,并且在随机噪声影响外部电流的情况下仍然存在。我们的研究结果表明,减弱的神经元连接可能有助于产生频率高于1000Hz的振荡,这可以促进我们对癫痫病理的理解,并有可能改善治疗策略。然而,需要对各种耦合类型和复杂的网络模型进行进一步的探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weak coupling of neurons enables very high-frequency and ultra-fast oscillations through the interplay of synchronized phase-shifts
Recently, in the past decade, high-frequency oscillations (HFOs), very high-frequency oscillations (VHFOs), and ultra-fast oscillations (UFOs) were reported in epileptic patients with drug-resistant epilepsy. However, to this day, the physiological origin of these events has yet to be understood. Our study establishes a mathematical framework based on bifurcation theory for investigating the occurrence of VHFOs and UFOs in depth EEG signals of patients with focal epilepsy, focusing on the potential role of reduced connection strength between neurons in an epileptic focus. We demonstrate that synchronization of a weakly coupled network can generate very and ultra high-frequency signals detectable by nearby microelectrodes. In particular, we show that a bistability region enables the persistence of phase-shift synchronized clusters of neurons. This phenomenon is observed for different hippocampal neuron models, including Morris-Lecar, Destexhe-Paré, and an interneuron model. The mechanism seems to be robust for small coupling, and it also persists with random noise affecting the external current. Our findings suggest that weakened neuronal connections could contribute to the production of oscillations with frequencies above 1000Hz, which could advance our understanding of epilepsy pathology and potentially improve treatment strategies. However, further exploration of various coupling types and complex network models is needed.
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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
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