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

Jelmer Langbroek, Jan Treur*, S. Sahand Mohammadi Ziabari

*Corresponding author for this work

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
Subtitle of host publication18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings
EditorsRyszard Tadeusiewicz, Witold Pedrycz, Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Jacek M. Zurada
PublisherSpringer Verlag
Pages203-215
Number of pages13
Volume2
ISBN (Electronic)9783030209155
ISBN (Print)9783030209148
DOIs
Publication statusPublished - 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

Keywords

  • Myelin
  • Network-Oriented Modeling
  • PTSD
  • Stress

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