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Neural Dynamics of Autistic Behaviors: Cognitive, Emotional, and Timing Substrates

机译:自闭症行为的神经动力学:认知,情感和时间底物。

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What brain mechanisms underlie autism, and how do they give rise to autistic behavioral symptoms? This article describes a neural model, called the Imbalanced Spectrally Timed Adaptive Resonance Theory (iSTART) model, that proposes how cognitive, emotional, timing, and motor processes that involve brain regions such as the prefrontal and temporal cortex, amygdala, hippocampus, and cerebellum may interact to create and perpetuate autistic symptoms. These model processes were originally developed to explain data concerning how the brain controls normal behaviors. The iSTART model shows how autistic behavioral symptoms may arise from prescribed breakdowns in these brain processes, notably a combination of underaroused emotional depression in the amygdala and related affective brain regions, learning of hyperspecific recognition categories in the temporal and prefrontal cortices, and breakdowns of adaptively timed attentional and motor circuits in the hippocampal system and cerebellum. The model clarifies how malfunctions in a subset of these mechanisms can, through a systemwide vicious circle of environmentally mediated feedback, cause and maintain problems with them all.
机译:自闭症的大脑机制是什么?它们如何引起自闭症的行为症状?本文介绍了一种神经模型,称为不平衡频谱定时自适应共振理论(iSTART)模型,该模型提出了涉及大脑区域(例如前额叶和颞叶皮层,杏仁核,海马和小脑)的认知,情感,定时和运动过程可能相互作用以产生和维持自闭症症状。这些模型过程最初是为了解释有关大脑如何控制正常行为的数据而开发的。 iSTART模型显示了自闭症的行为症状可能是由这些脑部过程中的预定故障引起的,特别是杏仁核和相关情感性大脑区域的轻度情绪低落,颞叶和额叶皮层的高特异性识别类别的学习以及适应性故障的组合在海马系统和小脑中定时注意和运动回路。该模型阐明了这些机制的一个子集中的故障如何通过环境介导的反馈的全系统恶性循环导致和维护所有这些问题。

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