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Compensating for thalamocortical synaptic loss in Alzheimers disease

机译:补偿阿尔茨海默氏病丘脑皮质突触丧失

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摘要

The study presents a thalamocortical network model which oscillates within the alpha frequency band (8–13 Hz) as recorded in the wakeful relaxed state with closed eyes to study the neural causes of abnormal oscillatory activity in Alzheimer's disease (AD). Incorporated within the model are various types of cortical excitatory and inhibitory neurons, recurrently connected to thalamic and reticular thalamic regions with the ratios and distances derived from the mammalian thalamocortical system. The model is utilized to study the impacts of four types of connectivity loss on the model's spectral dynamics. The study focuses on investigating degeneration of corticocortical, thalamocortical, corticothalamic, and corticoreticular couplings, with an emphasis on the influence of each modeled case on the spectral output of the model. Synaptic compensation has been included in each model to examine the interplay between synaptic deletion and compensation mechanisms, and the oscillatory activity of the network. The results of power spectra and event related desynchronization/synchronization (ERD/S) analyses show that the dynamics of the thalamic and cortical oscillations are significantly influenced by corticocortical synaptic loss. Interestingly, the patterns of changes in thalamic spectral activity are correlated with those in the cortical model. Similarly, the thalamic oscillatory activity is diminished after partial corticothalamic denervation. The results suggest that thalamic atrophy is a secondary pathology to cortical shrinkage in Alzheimer's disease. In addition, this study finds that the inhibition from neurons in the thalamic reticular nucleus (RTN) to thalamic relay (TCR) neurons plays a key role in regulating thalamic oscillations; disinhibition disrupts thalamic oscillatory activity even though TCR neurons are more depolarized after being released from RTN inhibition. This study provides information that can be explored experimentally to further our understanding on the neurodegeneration associated with AD pathology.
机译:该研究提出了一种丘脑皮质网络模型,该模型在以闭眼的清醒放松状态下记录的阿尔法频段(8-13 Hz)内振荡,以研究阿尔茨海默氏病(AD)异常振荡活动的神经原因。包含在模型中的是各种类型的皮质兴奋性神经元和抑制​​性神经元,它们反复连接到丘脑和网状丘脑区域,其比例和距离均来自哺乳动物的丘脑皮质系统。该模型用于研究四种类型的连通性损失对模型光谱动力学的影响。这项研究的重点是研究皮层,丘脑,皮层和皮层耦合的退化,并着重研究每个建模案例对模型频谱输出的影响。在每个模型中都包含了突触补偿,以检查突触缺失和补偿机制之间的相互作用,以及网络的振荡活动。功率谱和事件相关的去同步/同步(ERD / S)分析的结果表明,皮层皮层突触损失严重影响丘脑和皮层振荡的动力学。有趣的是,丘脑频谱活动的变化模式与皮层模型中的模式相关。同样,部分皮层丘脑去神经后丘脑振荡活动减弱。结果表明,丘脑萎缩是阿尔茨海默氏病中皮质萎缩的继发性病理。此外,这项研究发现,丘脑网状核(RTN)神经元对丘脑中继(TCR)神经元的抑制作用在调节丘脑振荡中起着关键作用。即使从RTN抑制中释放出来的TCR神经元去极化更多,去抑制作用也会破坏丘脑的振荡活性。这项研究提供了可以通过实验探索的信息,以进一步加深我们对与AD病理学相关的神经变性的理解。

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