Induction of chimera states in Hindmarsh-Rose neurons through astrocytic modulation: Implications for learning mechanisms

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Fatemeh Azad , Saeed Bagheri Shouraki , Soheila Nazari , Mansun Chan
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引用次数: 0

Abstract

Chimera states, a form of partial synchronization in neural networks, are characterized by the coexistence of synchronized and asynchronous regions. These states are crucial for various cognitive functions, such as learning and information processing. Conversely, abnormal synchronization—often referred to as hyper-synchronization—can lead to pathological conditions such as epilepsy and Parkinson's disease. Understanding the mechanisms underlying synchronization can provide valuable insights for developing effective therapeutic strategies for these disorders. Astrocyte, a primary type of glial cell, plays a pivotal role in modulating neural synchrony. They influence the synchronization threshold of neurons by providing feedback through the release of gliotransmitters, promoting group firing of neurons within the astrocyte's domain. This research aims to explore how astrocytes can facilitate the conversion of hyper-synchronized states into healthy chimera states within neural networks. This process is vital for maintaining normal brain function and may be critical to advancing treatments for neurological conditions. We analyzed how astrocytes can induce chimera states in nonlocally two-dimensional Hindmarsh-Rose neurons, which serve as realistic models of neuronal ensembles. Our findings demonstrate that astrocytes can effectively transition unhealthy hyper-synchronization states into healthy chimera states. Furthermore, by analyzing time spans, spatiotemporal patterns, inter-spike interval distributions (ISI), and phase plane diagrams of 2D H-R neurons, we validated our hypothesis about the crucial role of astrocytes in the development of chimera states. The outcomes may pave the way for innovative therapeutic approaches to restore normal neural activity patterns, ultimately improving patient outcomes in conditions such as epilepsy and Parkinson's disease.
星形细胞调节诱导Hindmarsh-Rose神经元嵌合体状态:对学习机制的影响
嵌合体状态是神经网络部分同步的一种形式,其特征是同步区域和异步区域共存。这些状态对各种认知功能至关重要,比如学习和信息处理。相反,异常同步——通常被称为超同步——会导致癫痫和帕金森病等病理状况。了解潜在的同步机制可以为开发有效的治疗策略提供有价值的见解。星形胶质细胞是一种初级胶质细胞,在调节神经同步中起着关键作用。它们通过胶质递质的释放提供反馈,从而影响神经元的同步阈值,促进星形胶质细胞区域内神经元的群放电。本研究旨在探索星形胶质细胞如何促进神经网络内超同步状态向健康嵌合体状态的转化。这一过程对于维持正常的大脑功能至关重要,可能对推进神经系统疾病的治疗至关重要。我们分析了星形胶质细胞如何在非局部二维Hindmarsh-Rose神经元中诱导嵌合体状态,这可以作为神经元集合的现实模型。我们的发现表明星形胶质细胞可以有效地将不健康的超同步状态转变为健康的嵌合体状态。此外,通过分析二维H-R神经元的时间跨度、时空模式、峰间间隔分布(ISI)和相平面图,我们验证了星形胶质细胞在嵌合体状态发展中的关键作用。这一结果可能为恢复正常神经活动模式的创新治疗方法铺平道路,最终改善癫痫和帕金森病等疾病患者的预后。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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