A Network Model for Modulating Sensory Processing Sensitivity in Autism Spectrum Disorder: Epigenetics, Adaptivity, and Other Factors

IF 2.1 3区心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Cognitive Systems Research Pub Date : 2024-04-12 DOI:10.1016/j.cogsys.2024.101240

Florian David , George Kalibala , Blandine Pichon , Jan Treur

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引用次数: 0

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition that can significantly affect an individual's behaviour and social interactions. Comprehending how various factors may influence these behaviours is vital for devising innovative intervention strategies to assist individuals with ASD. This study presents a computational agent model designed to investigate sensory processing sensitivity (SPS) and behavioural responses to stimuli in individuals with ASD. The model incorporates feedback loops to represent the diverse and adaptive behavioural responses observed in these individuals, illustrating the impact of various factors on these behaviours. We specifically explore how epigenetic mechanisms—modifications in gene expression influenced by environmental factors—affect SPS and responsiveness to subtle sensory stimuli in ASD. To evaluate our model and showcase its effectiveness in replicating and predicting the variability in behavioural responses among individuals with ASD, we conducted simulation experiments to reproduce scenarios depicting different responses to visual stimuli. The results highlight the potential of computational models in understanding the intricate sensory experiences in ASD and offer new perspectives for future research and interventions.

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调节自闭症患者感官敏感性的网络模型：表观遗传和适应性影响

自闭症谱系障碍（ASD）是一种神经发育疾病，会严重影响患者的行为和社会交往。了解各种因素是如何影响这些行为的，对于制定创新干预策略以帮助 ASD 患者至关重要。本研究提出了一个计算代理模型，旨在研究 ASD 患者的感官处理敏感性（SPS）和对刺激的行为反应。该模型结合了反馈回路，代表了在这些个体身上观察到的多种适应性行为反应，说明了各种因素对这些行为的影响。我们特别探讨了表观遗传机制--受环境因素影响的基因表达改变--如何影响 ASD 患者的 SPS 和对微妙感官刺激的反应能力。为了评估我们的模型，并展示其在复制和预测 ASD 患者行为反应的差异性方面的有效性，我们进行了模拟实验，以重现描述对视觉刺激的不同反应的情景。结果凸显了计算模型在理解 ASD 患者错综复杂的感官体验方面的潜力，并为未来的研究和干预提供了新的视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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

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.