Higher-order adaptive dynamical system modeling of the role of epigenetics in anxiety disorders

Shivant Kathusing, Natalie Samhan, Jan Treur*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In this paper, a fifth-order adaptive self-modelling network model is introduced to describe epigenetic involvement in the development of anxiety disorders and its regulation by a possible epigenetics-based therapeutic method. Multiple orders of adaptivity are used in the model to depict the development process, where a higher pathway of any order of adaptivity adapts characteristics of pathways in lower orders and acts as a form of control. These orders of adaptivity and their interlevel interaction were modelled as a higher-order adaptive dynamical system according to the self-modelling network modelling principle. The model was inspired by the structure of the relevant human biological and neurological processes. In addition to modelling the development of an anxiety disorder, also the possibility of an epigenetics-based therapy is suggested and computationally analyzed in this paper.

Original languageEnglish
Article number101177
Pages (from-to)1-16
Number of pages16
JournalCognitive Systems Research
Volume83
Early online date11 Oct 2023
DOIs
Publication statusPublished - Jan 2024

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

Keywords

  • Anxiety disorder
  • Epigenetics
  • Temporal-causal network

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