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帕金森病共振模型β振荡的出现。

Emergence of Beta Oscillations of a Resonance Model for Parkinson's Disease.

机构信息

School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi Province, China.

School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China.

出版信息

Neural Plast. 2020 Nov 30;2020:8824760. doi: 10.1155/2020/8824760. eCollection 2020.

Abstract

In Parkinson's disease, the excess of beta oscillations in cortical-basal ganglia (BG) circuits has been correlated with normal movement suppression. In this paper, a physiologically based resonance model, generalizing an earlier model of the STN-GPe circuit, is employed to analyze critical dynamics of the occurrence of beta oscillations, which correspond to Hopf bifurcation. With the experimentally measured parameters, conditions for the occurrence of Hopf bifurcation with time delay are deduced by means of linear stability analysis, center manifold theorem, and normal form analysis. It is found that beta oscillations can be induced by increasing synaptic transmission delay. Furthermore, it is revealed that the oscillations originate from interaction among different synaptic connections. Our analytical results are consistent with the previous experimental and simulating findings, thus may provide a more systematic insight into the mechanisms underlying the transient beta bursts.

摘要

在帕金森病中,皮质-基底神经节(BG)回路中β 振荡的过度与正常运动抑制有关。在本文中,采用了一种基于生理学的共振模型,该模型推广了 STN-GPe 电路的早期模型,用于分析β振荡发生的关键动力学,即对应于 Hopf 分岔。通过线性稳定性分析、中心流形定理和正规形分析,根据实验测量的参数,推导出具有时滞的 Hopf 分岔发生的条件。结果表明,通过增加突触传递延迟可以诱导β振荡。此外,还揭示了这些振荡起源于不同突触连接之间的相互作用。我们的分析结果与之前的实验和模拟结果一致,从而为理解短暂β爆发的潜在机制提供了更系统的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef29/7722408/6a60459249b3/NP2020-8824760.002.jpg

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