Computational Analysis of the Role of Epigenetics in Insomnia:A Higher-Order Adaptive Network Model

Authors

  • Jan Treur Vrije Universiteit Amsterdam, Department of Computer Science, Social AI Group, Netherlands. Author
  • Sarah Hassouna Vrije Universiteit Amsterdam, Department of Computer Science, Social AI Group, Netherlands Author
  • Sophie CF Hendrikse Tilburg University, School of Social and Behavioral Sciences, Department of Methodology and Statistics, Netherlands Author

DOI:

https://doi.org/10.47363/21kwjb59

Keywords:

Insomnia, Epigenetics, Higher-Order, Adaptive Network

Abstract

Insomnia Disorder (ID) is a prevalent stress-related sleep disorder involving burdening symptoms related to emotional disturbances. This paper introduces a higher-order adaptive dynamical system model to explore the potential role of epigenetic mechanisms in the development and persistence of ID. The model examines how epigenetic modifications, particularly in genes related to mechanisms of the sleep-wake regulation and stress response systems, may potentially contribute to the pathology of ID. Results of simulations of the model are reported in this study to underscore the complexity of ID as a dynamic and (mal-)adaptive system of emotion regulation and sleep-wake-regulation processes. 

Author Biography

  • Jan Treur, Vrije Universiteit Amsterdam, Department of Computer Science, Social AI Group, Netherlands.

    Jan Treur, Vrije Universiteit Amsterdam, Department of Computer Science, Social AI Group, Netherlands.

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Published

2025-09-18