Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder

S. Sahand Mohammadi-Ziabari; Jan Treur

doi:10.1007/978-3-030-04070-3_23

Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder

S. Sahand Mohammadi-Ziabari, Jan Treur^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this paper a computational model of a therapy for post-traumatic stress disorder by medicines is presented. The considered therapy has as a goal to decrease the stress level of a stressed individual by injections. Several medicines have been used to decrease the stress level. The presented temporal-causal network model aims at integrative modeling a medicine-based therapy where the relevant biological, cognitive and affective factors are modeled in a dynamic manner. In the first phase a strong stress-inducing stimulus causes the individual to develop an (affective) extreme stressful emotion. In the second phase, the individual makes the (cognitive) decision to apply an injection as a medicine with a goal shown to make the stressed individual relaxed. The third phase (biologically) models how the injection reduces the stress level.

Original language	English
Title of host publication	Theory and Practice of Natural Computing
Subtitle of host publication	7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings
Editors	Carlos Martín-Vide, Miguel A. Vega-Rodríguez, David Fagan, Michael O’Neill
Publisher	Springer - Verlag
Pages	292-304
Number of pages	13
ISBN (Electronic)	9783030040703
ISBN (Print)	9783030040697
DOIs	https://doi.org/10.1007/978-3-030-04070-3_23
Publication status	Published - 2018
Event	7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018 - Dublin, Ireland Duration: 12 Dec 2018 → 14 Dec 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11324 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018
Country/Territory	Ireland
City	Dublin
Period	12/12/18 → 14/12/18

Keywords

Affective
Biological
Cognitive
Extreme emotion
Integrative temporal-causal network model
Medicine therapy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-030-04070-3_23

Integrative Biological, Cognitive and Affective Modeling of a Drug-Therapy for a Post-traumatic Stress DisorderFinal published version, 1.41 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/327645359_Integrative_Biological_Cognitive_and_Affective_Modeling_of_a_Drug-Therapy_for_a_Post-Traumatic_Stress_Disorder

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Mohammadi-Ziabari, S. S., & Treur, J. (2018). Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder. In C. Martín-Vide, M. A. Vega-Rodríguez, D. Fagan, & M. O’Neill (Eds.), Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings (pp. 292-304). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11324 LNCS). Springer - Verlag. https://doi.org/10.1007/978-3-030-04070-3_23

Mohammadi-Ziabari, S. Sahand ; Treur, Jan. / Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder. Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. editor / Carlos Martín-Vide ; Miguel A. Vega-Rodríguez ; David Fagan ; Michael O’Neill. Springer - Verlag, 2018. pp. 292-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper a computational model of a therapy for post-traumatic stress disorder by medicines is presented. The considered therapy has as a goal to decrease the stress level of a stressed individual by injections. Several medicines have been used to decrease the stress level. The presented temporal-causal network model aims at integrative modeling a medicine-based therapy where the relevant biological, cognitive and affective factors are modeled in a dynamic manner. In the first phase a strong stress-inducing stimulus causes the individual to develop an (affective) extreme stressful emotion. In the second phase, the individual makes the (cognitive) decision to apply an injection as a medicine with a goal shown to make the stressed individual relaxed. The third phase (biologically) models how the injection reduces the stress level.",

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Mohammadi-Ziabari, SS & Treur, J 2018, Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder. in C Martín-Vide, MA Vega-Rodríguez, D Fagan & M O’Neill (eds), Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11324 LNCS, Springer - Verlag, pp. 292-304, 7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018, Dublin, Ireland, 12/12/18. https://doi.org/10.1007/978-3-030-04070-3_23

Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder. / Mohammadi-Ziabari, S. Sahand; Treur, Jan.
Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. ed. / Carlos Martín-Vide; Miguel A. Vega-Rodríguez; David Fagan; Michael O’Neill. Springer - Verlag, 2018. p. 292-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11324 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Treur, Jan

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N2 - In this paper a computational model of a therapy for post-traumatic stress disorder by medicines is presented. The considered therapy has as a goal to decrease the stress level of a stressed individual by injections. Several medicines have been used to decrease the stress level. The presented temporal-causal network model aims at integrative modeling a medicine-based therapy where the relevant biological, cognitive and affective factors are modeled in a dynamic manner. In the first phase a strong stress-inducing stimulus causes the individual to develop an (affective) extreme stressful emotion. In the second phase, the individual makes the (cognitive) decision to apply an injection as a medicine with a goal shown to make the stressed individual relaxed. The third phase (biologically) models how the injection reduces the stress level.

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ER -

Mohammadi-Ziabari SS, Treur J. Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder. In Martín-Vide C, Vega-Rodríguez MA, Fagan D, O’Neill M, editors, Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. Springer - Verlag. 2018. p. 292-304. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Nov 22. doi: 10.1007/978-3-030-04070-3_23

Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder

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Keywords

UN SDGs

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