Computational framework of neuronal-astrocytic network within the basal ganglia-thalamic circuits associated with Parkinson's disease.

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES
Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-03-26 DOI:10.1007/s11571-025-10236-y
Suyu Liu, Xiaohang Zhu, Weigang Sun
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引用次数: 0

Abstract

Parkinson's disease is the neurodegenerative disorder which involves both neurons and non-neurons, and whose symptoms are usually represented by the error index and synchronization index in the computational study. This paper combines with the classical basal ganglia-thalamic network model and tripartite synapse model to explore the internal effects of astrocytes on the Parkinson's disease. The model simulates the firing patterns of the Parkinsonian state and healthy state, verifies the feasibility of the neural-glial model. The results show that the rate of production for IP 3 modulate the frequency and amplitude of slow inward current for subthalamic nucleus, globus pallidus externa and interna in two modes. Increasing the rate of production for IP 3 of subthalamic nucleus and globus pallidus externa can decrease the error index and presumably alleviate the Parkinson's disease. Increasing the rate of production for IP 3 of globus pallidus externa and adjusting the rate of production for IP 3 of subthalamic nucleus can result in the desynchronization of network in a regular way. These obtained results emphasize the effect of neurons (especially subthalamic nucleus and globus pallidus externa), astrocytes and their interaction on the Parkinson's disease. It enriches the evidence of involvement of astrocyte in Parkinson's disease, and proposes some cognitive points to the alleviation of Parkinson's disease.

与帕金森病相关的基底节区丘脑回路中神经元-星形细胞网络的计算框架。
帕金森病是一种涉及神经元和非神经元的神经退行性疾病,其症状在计算研究中通常用误差指数和同步指数来表示。本文结合经典的基底节区丘脑网络模型和三边突触模型,探讨星形胶质细胞在帕金森病中的内部作用。该模型模拟了帕金森状态和健康状态的放电模式,验证了神经胶质模型的可行性。结果表明,ip3的产生速率以两种模式调节丘脑下核、外白球和内白球缓慢内向电流的频率和幅度。提高丘脑底核和外苍白球ip3的产生率可以降低误差指数,可能减轻帕金森病。增加外白球IP - 3的产生速率和调节丘底核IP - 3的产生速率可导致网络有规律地去同步。这些结果强调了神经元(特别是丘脑下核和外苍白球)、星形胶质细胞及其相互作用在帕金森病中的作用。它丰富了星形胶质细胞参与帕金森病的证据,并为帕金森病的缓解提出了一些认知观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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