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补偿阿尔茨海默病中的突触损失。

Compensating for synaptic loss in Alzheimer's disease.

作者信息

Abuhassan Kamal, Coyle Damien, Belatreche Ammar, Maguire Liam

机构信息

Intelligent Systems Research Centre, University of Ulster, Magee Campus, Derry, BT48 7JL, UK,

出版信息

J Comput Neurosci. 2014 Feb;36(1):19-37. doi: 10.1007/s10827-013-0462-8. Epub 2013 Jun 2.

Abstract

Confirming that synaptic loss is directly related to cognitive deficit in Alzheimer's disease (AD) has been the focus of many studies. Compensation mechanisms counteract synaptic loss and prevent the catastrophic amnesia induced by synaptic loss via maintaining the activity levels of neural circuits. Here we investigate the interplay between various synaptic degeneration and compensation mechanisms, and abnormal cortical oscillations based on a large-scale network model consisting of 100,000 neurons exhibiting several cortical firing patterns, 8.5 million synapses, short-term plasticity, axonal delays and receptor kinetics. The structure of the model is inspired by the anatomy of the cerebral cortex. The results of the modelling study suggest that cortical oscillations respond differently to compensation mechanisms. Local compensation preserves the baseline activity of theta (5-7 Hz) and alpha (8-12 Hz) oscillations whereas delta (1-4 Hz) and beta (13-30 Hz) oscillations are maintained via global compensation. Applying compensation mechanisms independently shows greater effects than combining both compensation mechanisms in one model and applying them in parallel. Consequently, it can be speculated that enhancing local compensation might recover the neural processes and cognitive functions that are associated with theta and alpha oscillations whereas inducing global compensation might contribute to the repair of neural (cognitive) processes which are associated with delta and beta band activity. Compensation mechanisms may vary across cortical regions and the activation of inappropriate compensation mechanism in a particular region may fail to recover network dynamics and/or induce secondary pathological changes in the network.

摘要

证实突触丧失与阿尔茨海默病(AD)中的认知缺陷直接相关一直是许多研究的重点。补偿机制通过维持神经回路的活动水平来抵消突触丧失,并防止由突触丧失引起的灾难性失忆。在此,我们基于一个大规模网络模型研究各种突触退化和补偿机制之间的相互作用以及异常的皮层振荡,该模型由100,000个呈现多种皮层放电模式的神经元、850万个突触、短期可塑性、轴突延迟和受体动力学组成。该模型的结构受到大脑皮层解剖结构的启发。建模研究结果表明,皮层振荡对补偿机制的反应不同。局部补偿保留了theta(5 - 7Hz)和alpha(8 - 12Hz)振荡的基线活动,而delta(1 - 4Hz)和beta(13 - 30Hz)振荡则通过全局补偿得以维持。单独应用补偿机制比在一个模型中结合两种补偿机制并并行应用显示出更大的效果。因此,可以推测增强局部补偿可能恢复与theta和alpha振荡相关的神经过程和认知功能,而诱导全局补偿可能有助于修复与delta和beta频段活动相关的神经(认知)过程。补偿机制可能因皮层区域而异,在特定区域激活不适当的补偿机制可能无法恢复网络动力学和/或在网络中诱发继发性病理变化。

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