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An Adaptive Temporal-Causal Network Model for Stress Extinction Using Fluoxetine

机译:氟西汀用于消除应力的自适应时空因果网络模型

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In this paper, an adaptive temporal causal network model based on drug therapy named fluoxetine to decrease the stress level of post-traumatic stress disorder is presented. The stress extinction is activated by a cognitive drug therapy (here fluoxetine) that uses continuous usage of medicine. The aim of this therapy is to reduce the connectivity between some components inside the brain which are responsible for causing stress. This computational model aspires to realistically demonstrate the activation of different portions of brain when the therapy is applied. The cognitive model starts with a situation of strong and continuous stress in an individual and after using fluoxetine the stress level begins to decrease over time. As a result, the patient will have a reduced stress level compared to not using drug.
机译:本文提出了一种基于药物治疗的适应性时间因果网络模型,称为氟西汀,可降低创伤后应激障碍的应激水平。通过使用持续使用药物的认知药物疗法(此处为氟西汀)可以激活压力消除。该疗法的目的是减少负责造成压力的大脑内部某些组件之间的连通性。这种计算模型渴望在应用疗法时真实地证明大脑不同部位的激活。认知模型始于个人承受强烈且持续的压力的情况,使用氟西汀后,压力水平随时间开始下降。结果,与不使用药物相比,患者的压力水平将降低。

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