Grossberg Stephen, Seidman Don
Department of Cognitive and Neural Systems, Center for Adaptive Systems and Center of Excellence for Learning in Education, Science, and Technology, Boston University, 677 Beacon Street, Boston, MA 02215, USA.
Psychol Rev. 2006 Jul;113(3):483-525. doi: 10.1037/0033-295X.113.3.483.
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.
自闭症背后的脑机制是什么,它们又是如何引发自闭症行为症状的?本文描述了一种神经模型,称为不平衡频谱定时自适应共振理论(iSTART)模型,该模型提出了涉及前额叶和颞叶皮质、杏仁核、海马体和小脑等脑区的认知、情感、时间和运动过程可能如何相互作用,从而产生并持续自闭症症状。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模型展示了自闭症行为症状可能如何源于这些脑过程中规定的故障,特别是杏仁核和相关情感脑区情绪唤醒不足的抑郁、颞叶和前额叶皮质中过度特定识别类别的学习,以及海马体系统和小脑中自适应定时注意力和运动回路的故障。该模型阐明了这些机制中的一部分故障如何通过环境介导的反馈在全系统范围内形成恶性循环,从而导致并维持所有这些问题。