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2019 | OriginalPaper | Chapter

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

Author : S. Sahand Mohammadi Ziabari

Published in: Artificial Intelligence Applications and Innovations

Publisher: Springer International Publishing

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Abstract

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.

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Footnotes
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Metadata
Title
An Adaptive Temporal-Causal Network Model for Stress Extinction Using Fluoxetine
Author
S. Sahand Mohammadi Ziabari
Copyright Year
2019
Book
Artificial Intelligence Applications and Innovations

Print ISBN: 978-3-030-19822-0

Electronic ISBN: 978-3-030-19823-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-19823-7_8

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