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自闭症谱系障碍的预测:实证证据的系统综述

Prediction in Autism Spectrum Disorder: A Systematic Review of Empirical Evidence.

作者信息

Cannon Jonathan, O'Brien Amanda M, Bungert Lindsay, Sinha Pawan

机构信息

Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, Massachusetts, USA.

出版信息

Autism Res. 2021 Apr;14(4):604-630. doi: 10.1002/aur.2482. Epub 2021 Feb 11.

Abstract

According to a recent influential proposal, several phenotypic features of autism spectrum disorder (ASD) may be accounted for by differences in predictive skills between individuals with ASD and neurotypical individuals. In this systematic review, we describe results from 47 studies that have empirically tested this hypothesis. We assess the results based on two observable aspects of prediction: learning a pairing between an antecedent and a consequence and responding to an antecedent in a predictive manner. Taken together, these studies suggest distinct differences in both predictive learning and predictive response. Studies documenting differences in learning predictive pairings indicate challenges in detecting such relationships especially when predictive features of an antecedent have low salience or consistency, and studies showing differences in habituation and perceptual adaptation suggest low-level predictive processing differences in ASD. These challenges may account for the observed differences in the influence of predictive priors, in spontaneous predictive movement or gaze, and in social prediction. An important goal for future research will be to better define and constrain the broad domain-general hypothesis by testing multiple types of prediction within the same individuals. Additional promising avenues include studying prediction within naturalistic contexts and assessing the effect of prediction-based intervention on supporting functional outcomes for individuals with ASD. LAY SUMMARY: Researchers have suggested that many features of autism spectrum disorder (ASD) may be explained by differences in the prediction skills of people with ASD. We review results from 47 studies. These studies suggest that ASD may be associated with differences in the learning of predictive pairings (e.g., learning cause and effect) and in low-level predictive processing in the brain (e.g., processing repeated sounds). These findings lay the groundwork for research that can improve our understanding of ASD and inform interventions. Autism Res 2021, 14: 604-630. © 2021 International Society for Autism Research and Wiley Periodicals LLC.

摘要

根据最近一项有影响力的提议,自闭症谱系障碍(ASD)的若干表型特征可能是由患有ASD的个体与神经典型个体之间预测技能的差异所导致的。在本系统综述中,我们描述了47项对这一假设进行实证检验的研究结果。我们基于预测的两个可观察方面来评估结果:学习前因与后果之间的配对,以及以预测的方式对前因做出反应。综合来看,这些研究表明在预测性学习和预测性反应方面都存在明显差异。记录学习预测配对差异的研究表明,检测此类关系存在挑战,尤其是当前因的预测特征具有低显著性或低一致性时;而显示出在习惯化和感知适应方面存在差异的研究表明,ASD存在低水平的预测性加工差异。这些挑战可能解释了在预测先验、自发预测性动作或注视以及社会预测的影响方面所观察到的差异。未来研究的一个重要目标将是通过在同一受试者内测试多种类型的预测,来更好地定义和限制这一广泛的领域一般性假设。其他有前景的途径包括在自然情境中研究预测,以及评估基于预测的干预对支持ASD个体功能结果的影响。

简述

研究人员提出,自闭症谱系障碍(ASD)的许多特征可能可以通过患有ASD的人的预测技能差异来解释。我们回顾了47项研究的结果。这些研究表明,ASD可能与预测配对学习(例如,学习因果关系)以及大脑中的低水平预测性加工(例如,处理重复声音)方面的差异有关。这些发现为能够增进我们对ASD的理解并为干预提供信息的研究奠定了基础。《自闭症研究》2021年,14卷:604 - 630页。© 2021国际自闭症研究协会和威利期刊有限责任公司

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