Higher-order adaptive dynamical system modelling of epigenetic mechanisms in infant temperament shaped by prenatal maternal stress

IF 2.4 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Systems Research Pub Date : 2025-04-01 Epub Date: 2024-12-25 DOI:10.1016/j.cogsys.2024.101315
Labiba Aziz , Jan Treur
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Abstract

Prenatal maternal stress (PNMS) has significant implications for infant temperament, primarily through alterations in the hypothalamic–pituitary–adrenal (HPA) axis and epigenetic mechanisms. This study explores the effects of PNMS on infant stress reactivity using a fifth-order adaptive dynamical system model. The model integrates genetic, epigenetic, and environmental factors, focusing on the downregulation of 11β-HSD-2, an enzyme responsible for converting active cortisol to its inactive form, and its subsequent influence on fetal cortisol exposure. The article also employs network-oriented modeling to represent epigenetic changes and their impact on infant temperament development, emphasizing the HPA axis’ role in stress regulation. Simulation experiments compare scenarios with PNMS, illustrating the long-term developmental consequences on temperament. This research highlights the importance of maternal well-being during pregnancy in shaping infant stress responses and provides insights into the developmental origins of health and disease.
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产前母亲压力对婴儿气质形成的表观遗传机制的高阶自适应动力系统建模
产前母亲压力(PNMS)对婴儿气质有重要影响,主要是通过改变下丘脑-垂体-肾上腺(HPA)轴和表观遗传机制。本研究采用五阶自适应动力系统模型探讨PNMS对婴儿应激反应的影响。该模型整合了遗传、表观遗传和环境因素,重点关注11β-HSD-2(一种负责将活性皮质醇转化为非活性形式的酶)的下调及其对胎儿皮质醇暴露的后续影响。本文还采用面向网络的模型来描述表观遗传变化及其对婴儿气质发育的影响,强调HPA轴在应激调节中的作用。模拟实验将情景与PNMS进行比较,说明了气质对长期发展的影响。这项研究强调了怀孕期间孕产妇健康在塑造婴儿应激反应中的重要性,并为健康和疾病的发育起源提供了见解。
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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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