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首页> 外文会议>Proceedings of the ASME dynamic systems and control conference 2009 >STOCHASTIC MODEL OF GLUTAMATERGIC PFC-NAc SYNAPSE PREDICTS COCAINE-INDUCED CHANGES IN RECEPTOR OCCUPANCY
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STOCHASTIC MODEL OF GLUTAMATERGIC PFC-NAc SYNAPSE PREDICTS COCAINE-INDUCED CHANGES IN RECEPTOR OCCUPANCY

机译：谷氨酸PFC-NAc突触预测的随机性模型可卡因引起的患者占位率变化

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摘要

Neurotransmitter homeostasis in and around synapses involves random processes such as diffusion, molecular binding and unbinding. A three-dimensional stochastic diffusion model of a synapse was developed to provide molecular level details of neurotransmitter homeostasis not predicted by alternative models based on continuum approaches. This framework was used to estimate effective diffusion and provide a more accurate prediction of geometric tortuosity in the perisynaptic region. The stochastic model was used to predict the relative contributions of non-synaptic sources to extracellular concentration in control, natural reward seeking, and chronic cocaine cases; and estimation of molecular influx rates required to maintain tone on presynaptic autoreceptors. Also, this was the first stochastic model to confirm the prediction of down-regulation of glutamate transporters by 40% after chronic cocaine. The model can be further generalized to study the role of diffusion path length in supporting neurotransmitter gradients and isolating the synapse.
机译：突触中和周围的神经递质稳态包括随机过程，例如扩散，分子结合和解除结合。建立了一个突触的三维随机扩散模型，以提供神经递质稳态的分子水平细节，而该模型无法通过基于连续方法的替代模型进行预测。该框架用于估计有效扩散，并提供更准确的突触周围区域几何曲折度的预测。随机模型用于预测非突触来源对控制，自然报酬和慢性可卡因病例中细胞外浓度的相对贡献。并估计维持突触前自体受体音调所需的分子流入速率。而且，这是第一个证实慢性可卡因后谷氨酸转运蛋白下调40％的预测的随机模型。该模型可以进一步推广以研究扩散路径长度在支持神经递质梯度和分离突触中的作用。

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