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首页> 外文期刊>Entropy >Computer Model of Synapse Loss During an Alzheimer’s Disease-Like Pathology in Hippocampal Subregions DG, CA3 and CA1—The Way to Chaos and Information Transfer
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Computer Model of Synapse Loss During an Alzheimer’s Disease-Like Pathology in Hippocampal Subregions DG, CA3 and CA1—The Way to Chaos and Information Transfer

机译:海马区DG,CA3和CA1的阿尔茨海默氏病样病理过程中突触损失的计算机模型-混沌和信息传递的方式

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摘要

The aim of the study was to compare the computer model of synaptic breakdown in an Alzheimer’s disease-like pathology in the dentate gyrus (DG), CA3 and CA1 regions of the hippocampus with a control model using neuronal parameters and methods describing the complexity of the system, such as the correlative dimension, Shannon entropy and positive maximal Lyapunov exponent. The model of synaptic breakdown (from 13% to 50%) in the hippocampus modeling the dynamics of an Alzheimer’s disease-like pathology was simulated. Modeling consisted in turning off one after the other EC2 connections and connections from the dentate gyrus on the CA3 pyramidal neurons. The pathological model of synaptic disintegration was compared to a control. The larger synaptic breakdown was associated with a statistically significant decrease in the number of spikes (R = ?0.79, P 0.001), spikes per burst (R = ?0.76, P 0.001) and burst duration (R = ?0.83, P 0.001) and an increase in the inter-burst interval (R = 0.85, P 0.001) in DG-CA3-CA1. The positive maximal Lyapunov exponent in the control model was negative, but in the pathological model had a positive value of DG-CA3-CA1. A statistically significant decrease of Shannon entropy with the direction of information flow DG-CA3-CA1 (R = ?0.79, P 0.001) in the pathological model and a statistically significant increase with greater synaptic breakdown (R = 0.24, P 0.05) of the CA3-CA1 region was obtained. The reduction of entropy transfer for DG-CA3 at the level of synaptic breakdown of 35% was 35%, compared with the control. Entropy transfer for CA3-CA1 at the level of synaptic breakdown of 35% increased to 95% relative to the control. The synaptic breakdown model in an Alzheimer’s disease-like pathology in DG-CA3-CA1 exhibits chaotic features as opposed to the control. Synaptic breakdown in which an increase of Shannon entropy is observed indicates an irreversible process of Alzheimer’s disease. The increase in synapse loss resulted in decreased information flow and entropy transfer in DG-CA3, and at the same time a strong increase in CA3-CA1.
机译:该研究的目的是使用神经元参数和描述神经元复杂性的方法,将海马齿状回(DG),CA3和CA1区的阿尔茨海默氏病样病理中突触破坏的计算机模型与对照模型进行比较。系统,例如相关维数,香农熵和最大正Lyapunov指数。在海马中,突触破坏模型(从13%到50%)被模拟,模拟了阿尔茨海默氏病样病理的动力学。建模包括先关闭另一个EC2连接,再关闭CA3锥体神经元上齿状回的连接。将突触崩解的病理模型与对照进行比较。较大的突触破坏与峰值数量(R =≤0.79,P <0.001),每次猝发峰值(R =≤0.76,P <0.001)和猝发持续时间(R =≤0.83,P)的统计上显着减少有关<0.001)和DG-CA3-CA1中爆发间隔的增加(R = 0.85,P <0.001)。对照模型中最大的Lyapunov指数阳性为负,但在病理模型中DG-CA3-CA1的阳性值为正。在病理模型中,随着信息流DG-> CA3-> CA1的方向,香农熵在统计学上显着降低(R =α0.79,P <0.001),并且随着突触破坏的增加,统计学上显着增加(R = 0.24,P <获得了0.05%的CA3-CA1区域。与对照组相比,在35%的突触破坏水平下DG-> CA3的熵转移减少为35%。相对于对照,CA3-> CA1在35%的突触破坏水平上的熵转移增加到95%。 DG-CA3-CA1的阿尔茨海默氏病样病理中的突触破坏模型显示出与对照组相反的混沌特征。突触破坏,其中观察到香农熵的增加表明阿尔茨海默氏病的不可逆过程。突触损失的增加导致DG-> CA3中信息流的减少和信息传递的减少,同时CA3-> CA1中的信息传递也大大增加。

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