并非如此自动：预期不一致会减少自闭症谱系障碍和典型发育中的干扰。
Not So Automatic Imitation: Expectation of Incongruence Reduces Interference in Both Autism Spectrum Disorder and Typical Development.
机构信息
MIND Institute, University of California, Davis, Sacramento, USA.
Department of Psychiatry and Behavioral Sciences, Solomon Lab, UC Davis M.I.N.D Institute, Sacramento, USA.
出版信息
J Autism Dev Disord. 2020 Apr;50(4):1310-1323. doi: 10.1007/s10803-019-04355-9.
Research has observed evidence for both hypo-(supposedly due to a broken mirror neuron system) and hyper-(thought to be the result of deficits in adaptive control) imitation in autism spectrum disorder (ASD). This work sought to adjudicate between these findings using an automatic imitation (AI) paradigm with the novel manipulation of the need to engage adaptive control of imitation. Results demonstrated that ASD participants do not display a specific deficit in AI capability, are able to engage in proactive control of AI, and that relative to a well-matched effector condition, AI is not selectively associated with ASD symptom severity. These data cast doubt upon the notion of impairments in imitation or its control in ASD.
研究观察到自闭症谱系障碍（ASD）中存在的模仿不足（推测是由于镜像神经元系统受损）和模仿过度（被认为是适应性控制缺陷的结果）两种现象。本研究使用一种自动模仿（AI）范式，通过新颖的适应性控制模仿需求来解决这些发现之间的争议。结果表明，ASD 参与者在 AI 能力方面没有表现出特定的缺陷，能够主动控制 AI，并且与匹配良好的效应器条件相比，AI 与 ASD 症状严重程度没有选择性关联。这些数据对 ASD 中模仿或其控制受损的观点提出了质疑。
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