A computational model of myelin excess for patients with post-traumatic stress disorder

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

The brain is the central organ of stress and controls the adaptation to stressors, while it perceives what is potentially threatening and determines the behavioral and physiological responses. Post-traumatic stress disorder (PTSD) is a mental health disease in which an individual has been exposed to a traumatic event that involves actual or imminent death or serious injury, or threatens the physical integrity of the self or others. The effects on the brain caused by stress for people with PTSD are the main subject of this paper. A literature research was conducted to see how stress affects the brain and how regions of the brain are distorted by an excess of myelin, which is formed by oligodendrocytes, in people with PTSD. Network-Oriented Modeling perspective is proposed as an alternative way to address complexity. This perspective takes the concept of network and the interactions within a network as a basis for conceptualization and structuring of any complex processes. It appears myelin, and the oligodendrocytes which produce the myelin can have altering effects in the brain of patients with PTSD. The fear response is increased significantly and the forming and retrieval of memories is also disrupted. As the effect of myelin is decreased in the model, the effects are also decreased. The main purpose of this paper is providing insight into what the effects of myelin excess might be for patients with PTSD, and simulating these effects to make these insights easily accessible.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Proceedings
EditorsWitold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski
PublisherSpringer Verlag
Pages203-215
Number of pages13
ISBN (Print)9783030209148
DOIs
Publication statusPublished - 1 Jan 2019
Event18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019 - Zakopane, Poland
Duration: 16 Jun 201920 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11509 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019
CountryPoland
CityZakopane
Period16/06/1920/06/19

Fingerprint

Computational Model
Excess
Disorder
Brain
Health
Data storage equipment
Integrity
Retrieval
Alternatives
Interaction
Modeling

Keywords

  • Myelin
  • Network-Oriented Modeling
  • PTSD
  • Stress

Cite this

Langbroek, J., Treur, J., & Mohammadi Ziabari, S. S. (2019). A computational model of myelin excess for patients with post-traumatic stress disorder. In W. Pedrycz, R. Tadeusiewicz, J. M. Zurada, L. Rutkowski, R. Scherer, & M. Korytkowski (Eds.), Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Proceedings (pp. 203-215). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11509 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-20915-5_19
Langbroek, Jelmer ; Treur, Jan ; Mohammadi Ziabari, S. Sahand. / A computational model of myelin excess for patients with post-traumatic stress disorder. Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Proceedings. editor / Witold Pedrycz ; Ryszard Tadeusiewicz ; Jacek M. Zurada ; Leszek Rutkowski ; Rafał Scherer ; Marcin Korytkowski. Springer Verlag, 2019. pp. 203-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Langbroek, J, Treur, J & Mohammadi Ziabari, SS 2019, A computational model of myelin excess for patients with post-traumatic stress disorder. in W Pedrycz, R Tadeusiewicz, JM Zurada, L Rutkowski, R Scherer & M Korytkowski (eds), Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11509 LNAI, Springer Verlag, pp. 203-215, 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, Zakopane, Poland, 16/06/19. https://doi.org/10.1007/978-3-030-20915-5_19

A computational model of myelin excess for patients with post-traumatic stress disorder. / Langbroek, Jelmer; Treur, Jan; Mohammadi Ziabari, S. Sahand.

Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Proceedings. ed. / Witold Pedrycz; Ryszard Tadeusiewicz; Jacek M. Zurada; Leszek Rutkowski; Rafał Scherer; Marcin Korytkowski. Springer Verlag, 2019. p. 203-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11509 LNAI).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Langbroek J, Treur J, Mohammadi Ziabari SS. A computational model of myelin excess for patients with post-traumatic stress disorder. In Pedrycz W, Tadeusiewicz R, Zurada JM, Rutkowski L, Scherer R, Korytkowski M, editors, Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Proceedings. Springer Verlag. 2019. p. 203-215. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-20915-5_19