A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes

Gaelle Nehme; Sophie C.F. Hendrikse; Jan Treur

doi:10.1007/978-3-032-13592-6_11

A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes

Gaelle Nehme
, Sophie C.F. Hendrikse
, Jan Treur^*

^*Corresponding author for this work

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

Abstract

This work presents a fifth-order adaptive self-modeling network model to explain the effects of environmental factors and epigenetic changes associated with the development of schizophrenia and mania. Our model focuses on how prenatal stress can cause long-term disruptions in cognitive control, disrupting working memory processes in both disorders. It is based on biological and neurological structures to represent the multi-level interactions between environmental, (epi)genetic, and cognitive factors. Two scenarios were simulated: one depicting the emergence of working memory deficits after prenatal stress, and another demonstrated recovery after a targeted therapeutic intervention by clozapine. This paper provides a framework for analyzing how gene-environmental interactions influence mental disorders over time, contributing to its etiology and progression.

Original language	English
Title of host publication	Biologically Inspired Cognitive Architectures 2025 - Proceedings of the 16th Annual Meeting of the BICA Society
Editors	Alexei V. Samsonovich, Félix Ramos, Tingting Liu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	136-162
Number of pages	27
ISBN (Print)	9783032135919
DOIs	https://doi.org/10.1007/978-3-032-13592-6_11
Publication status	Published - 2026
Event	16th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2025 - Puerto Vallarta, Mexico Duration: 6 Aug 2025 → 10 Aug 2025

Publication series

Name	Studies in Computational Intelligence
Volume	1244 SCI
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	16th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2025
Country/Territory	Mexico
City	Puerto Vallarta
Period	6/08/25 → 10/08/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

Bipolar disorder
Epigenetics
Mania
Schizophrenia
Temporal-causal network

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10.1007/978-3-032-13592-6_11

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Nehme, G., Hendrikse, S. C. F., & Treur, J. (2026). A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes. In A. V. Samsonovich, F. Ramos, & T. Liu (Eds.), Biologically Inspired Cognitive Architectures 2025 - Proceedings of the 16th Annual Meeting of the BICA Society (pp. 136-162). (Studies in Computational Intelligence; Vol. 1244 SCI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-13592-6_11

Nehme, Gaelle ; Hendrikse, Sophie C.F. ; Treur, Jan. / A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes. Biologically Inspired Cognitive Architectures 2025 - Proceedings of the 16th Annual Meeting of the BICA Society. editor / Alexei V. Samsonovich ; Félix Ramos ; Tingting Liu. Springer Science and Business Media Deutschland GmbH, 2026. pp. 136-162 (Studies in Computational Intelligence).

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abstract = "This work presents a fifth-order adaptive self-modeling network model to explain the effects of environmental factors and epigenetic changes associated with the development of schizophrenia and mania. Our model focuses on how prenatal stress can cause long-term disruptions in cognitive control, disrupting working memory processes in both disorders. It is based on biological and neurological structures to represent the multi-level interactions between environmental, (epi)genetic, and cognitive factors. Two scenarios were simulated: one depicting the emergence of working memory deficits after prenatal stress, and another demonstrated recovery after a targeted therapeutic intervention by clozapine. This paper provides a framework for analyzing how gene-environmental interactions influence mental disorders over time, contributing to its etiology and progression.",

keywords = "Bipolar disorder, Epigenetics, Mania, Schizophrenia, Temporal-causal network",

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Nehme, G, Hendrikse, SCF & Treur, J 2026, A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes. in AV Samsonovich, F Ramos & T Liu (eds), Biologically Inspired Cognitive Architectures 2025 - Proceedings of the 16th Annual Meeting of the BICA Society. Studies in Computational Intelligence, vol. 1244 SCI, Springer Science and Business Media Deutschland GmbH, pp. 136-162, 16th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2025, Puerto Vallarta, Mexico, 6/08/25. https://doi.org/10.1007/978-3-032-13592-6_11

A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes. / Nehme, Gaelle; Hendrikse, Sophie C.F.; Treur, Jan.
Biologically Inspired Cognitive Architectures 2025 - Proceedings of the 16th Annual Meeting of the BICA Society. ed. / Alexei V. Samsonovich; Félix Ramos; Tingting Liu. Springer Science and Business Media Deutschland GmbH, 2026. p. 136-162 (Studies in Computational Intelligence; Vol. 1244 SCI).

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

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

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N2 - This work presents a fifth-order adaptive self-modeling network model to explain the effects of environmental factors and epigenetic changes associated with the development of schizophrenia and mania. Our model focuses on how prenatal stress can cause long-term disruptions in cognitive control, disrupting working memory processes in both disorders. It is based on biological and neurological structures to represent the multi-level interactions between environmental, (epi)genetic, and cognitive factors. Two scenarios were simulated: one depicting the emergence of working memory deficits after prenatal stress, and another demonstrated recovery after a targeted therapeutic intervention by clozapine. This paper provides a framework for analyzing how gene-environmental interactions influence mental disorders over time, contributing to its etiology and progression.

AB - This work presents a fifth-order adaptive self-modeling network model to explain the effects of environmental factors and epigenetic changes associated with the development of schizophrenia and mania. Our model focuses on how prenatal stress can cause long-term disruptions in cognitive control, disrupting working memory processes in both disorders. It is based on biological and neurological structures to represent the multi-level interactions between environmental, (epi)genetic, and cognitive factors. Two scenarios were simulated: one depicting the emergence of working memory deficits after prenatal stress, and another demonstrated recovery after a targeted therapeutic intervention by clozapine. This paper provides a framework for analyzing how gene-environmental interactions influence mental disorders over time, contributing to its etiology and progression.

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Nehme G, Hendrikse SCF, Treur J. A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes. In Samsonovich AV, Ramos F, Liu T, editors, Biologically Inspired Cognitive Architectures 2025 - Proceedings of the 16th Annual Meeting of the BICA Society. Springer Science and Business Media Deutschland GmbH. 2026. p. 136-162. (Studies in Computational Intelligence). doi: 10.1007/978-3-032-13592-6_11

A Higher-Order Adaptive Dynamical System Model for the Development of Schizophrenia and Mania via Epigenetic Changes

Abstract

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Keywords

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