Computational model of decreased suppression of mu rhythms in patients with Autism Spectrum Disorders during movement observation—preliminary findings

IF 1.2 Q3 Computer Science

Bio-Algorithms and Med-Systems Pub Date : 2021-03-18 DOI:10.1515/bams-2020-0064

Dariusz Zapała, D. Mikołajewski

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引用次数: 0

Abstract

Abstract Objectives Autism Spectrum Disorders (ASD) represent developmental conditions with deficits in the cognitive, motor, communication and social domains. It is thought that imitative behaviour may be impaired in children with ASD. The Mirror Neural System (MNS) concept plays an important role in theories explaining the link between action perception, imitation and social decision-making in ASD. Methods In this study, Emergent 7.0.1 software was used to build a computational model of the phenomenon of MNS influence on motion imitation. Seven point populations of Hodgkin–Huxley artificial neurons were used to create a simplified model. Results The model shows pathologically altered processing in the neural network, which may reflect processes observed in ASD due to reduced stimulus attenuation. The model is considered preliminary—further research should test for a minimally significant difference between the states: normal processing and pathological processing. Conclusions The study shows that even a simple computational model can provide insight into the mechanisms underlying the phenomena observed in experimental studies, including in children with ASD.

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自闭症谱系障碍患者在运动观察期间mu节律抑制下降的计算模型-初步发现

摘要目的自闭症谱系障碍（ASD）代表认知、运动、沟通和社交领域的缺陷。据认为，自闭症谱系障碍儿童的模仿行为可能受到损害。镜像神经系统（MNS）概念在解释ASD中动作感知、模仿和社会决策之间联系的理论中发挥着重要作用。方法应用Emergent 7.0.1软件建立MNS影响运动模仿现象的计算模型。霍奇金-赫胥黎人工神经元的七点群被用来创建一个简化的模型。结果该模型显示了神经网络中病理性改变的过程，这可能反映了由于刺激衰减减少而在ASD中观察到的过程。该模型被认为是初步的——进一步的研究应该测试两种状态之间的最小显著差异：正常处理和病理处理。结论该研究表明，即使是一个简单的计算模型也可以深入了解实验研究中观察到的现象背后的机制，包括ASD儿童。

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

Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.