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Modeling Nitric Oxide Induced Neural Activity and Neurovascular Coupling in a Cerebellum Circuit

机译:小脑回路中一氧化氮诱导的神经活动和神经血管耦合的建模

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Functional magnetic resonance imaging (fMRI) allows to identify brain regions activated during rest, normal and diseased conditions attributing a function or a task to microcircuit activity. In order to understand signals from fMRI techniques, bottom-up modeling would be needed to reconstruct the neurovascular coupling attributing neural activity to local blood flow changes. In this paper, we present a bottom-up mathematical modeling of neuro-vascular coupling in rat cerebellum granule cells. Granule cells are numerous and main source for NO production in cerebellum. While matching experimental estimations, the effect of cerebellar blood flow and neural activity, a model of nitric oxide (NO) in the cerebellar granular was simulated and the diffusion, production and consumption of NO at the synapse and the contribution for neuro vascular coupling was modeled. This paper showcases the first step attributing cerebellum sub-molecular changes to clinical observations reconstructing neural activity mappings to population responses when combined with BOLD modeling.
机译:功能磁共振成像(fMRI)可以识别在休息,正常和患病情况下激活的大脑区域,从而将功能或任务归因于微电路活动。为了理解来自功能磁共振成像技术的信号,将需要自下而上的建模来重建将神经活动归因于局部血流变化的神经血管耦合。在本文中,我们提出了自下而上的大鼠小脑颗粒细胞神经血管耦合数学模型。颗粒细胞众多,是小脑NO产生的主要来源。在匹配实验估计值的同时,模拟小脑血流和神经活动的影响,模拟小脑颗粒中一氧化氮(NO)的模型,并模拟NO在突触中的扩散,产生和消耗以及对神经血管耦合的贡献。 。本文展示了将小脑亚分子变化归因于临床观察结果的第一步,当与BOLD建模相结合时,可将神经活动图谱重新构建为种群反应。

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