The dynamics of epigenetic influence in insomnia: A higher-order adaptive modeling perspective

Sarah Hassouna; Jan Treur; Sophie C.F. Hendrikse

doi:10.1007/978-981-96-3294-7_24

The dynamics of epigenetic influence in insomnia: A higher-order adaptive modeling perspective

Sarah Hassouna
, Jan Treur^*
, Sophie C.F. Hendrikse

^*Corresponding author for this work

Methodology and Statistics

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

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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.

Original language	English
Title of host publication	Brain informatics
Editors	Sirawaj Itthipuripat, Giorgio A. Ascoli, Anan Li, Narun Pat, Hongzhi Kuai
Publisher	Springer Nature Singapore
Pages	312-325
Number of pages	14
Volume	1
ISBN (Electronic)	9789819632947
ISBN (Print)	9789819632930
DOIs	https://doi.org/10.1007/978-981-96-3294-7_24
Publication status	Published - 2 Apr 2025
Event	17th International conference on brain informatics: Brain science meets artificial intelligence - Bangkok, Thailand Duration: 13 Dec 2024 → 15 Dec 2024 Conference number: 17 https://wi-consortium.org/conferences/bi2024/

Publication series

Name	Lecture notes in computer science
Publisher	Springer Nature
Volume	15541
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International conference on brain informatics
Abbreviated title	BI 2024
Country/Territory	Thailand
City	Bangkok
Period	13/12/24 → 15/12/24
Internet address	https://wi-consortium.org/conferences/bi2024/

Keywords

insomnia
epigenetics
higher-order
adaptive network

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10.1007/978-981-96-3294-7_24

The dynamics of epigenetic influence in insomniaFinal published version, 2.31 MBLicence: Taverne

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Hassouna, S., Treur, J., & Hendrikse, S. C. F. (2025). The dynamics of epigenetic influence in insomnia: A higher-order adaptive modeling perspective. In S. Itthipuripat, G. A. Ascoli, A. Li, N. Pat, & H. Kuai (Eds.), Brain informatics (Vol. 1, pp. 312-325). (Lecture notes in computer science; Vol. 15541). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-3294-7_24

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title = "The dynamics of epigenetic influence in insomnia: A higher-order adaptive modeling perspective",

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.",

keywords = "insomnia, epigenetics, higher-order, adaptive network",

author = "Sarah Hassouna and Jan Treur and Hendrikse, \{Sophie C.F.\}",

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doi = "10.1007/978-981-96-3294-7\_24",

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series = "Lecture notes in computer science",

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booktitle = "Brain informatics",

note = "17th International conference on brain informatics : Brain science meets artificial intelligence, BI 2024 ; Conference date: 13-12-2024 Through 15-12-2024",

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Hassouna, S, Treur, J & Hendrikse, SCF 2025, The dynamics of epigenetic influence in insomnia: A higher-order adaptive modeling perspective. in S Itthipuripat, GA Ascoli, A Li, N Pat & H Kuai (eds), Brain informatics. vol. 1, Lecture notes in computer science, vol. 15541, Springer Nature Singapore, pp. 312-325, 17th International conference on brain informatics, Bangkok, Thailand, 13/12/24. https://doi.org/10.1007/978-981-96-3294-7_24

The dynamics of epigenetic influence in insomnia: A higher-order adaptive modeling perspective. / Hassouna, Sarah; Treur, Jan; Hendrikse, Sophie C.F.
Brain informatics. ed. / Sirawaj Itthipuripat; Giorgio A. Ascoli; Anan Li; Narun Pat; Hongzhi Kuai. Vol. 1 Springer Nature Singapore, 2025. p. 312-325 (Lecture notes in computer science; Vol. 15541).

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

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T1 - The dynamics of epigenetic influence in insomnia

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AB - 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.

KW - insomnia

KW - epigenetics

KW - higher-order

KW - adaptive network

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DO - 10.1007/978-981-96-3294-7_24

M3 - Conference contribution

SN - 9789819632930

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A2 - Itthipuripat, Sirawaj

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PB - Springer Nature Singapore

Y2 - 13 December 2024 through 15 December 2024

ER -

The dynamics of epigenetic influence in insomnia: A higher-order adaptive modeling perspective

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