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自闭症患者对外界人脸图片的分组能力受损。

Impaired grouping of ambient facial images in autism.

机构信息

Department of Psychological Sciences, Birkbeck, University of London, Malet Street, London, WC1E 7HX, UK.

School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.

出版信息

Sci Rep. 2022 Apr 23;12(1):6665. doi: 10.1038/s41598-022-10630-0.

Abstract

Ambient facial images depict individuals from a variety of viewing angles, with a range of poses and expressions, under different lighting conditions. Exposure to ambient images is thought to help observers form robust representations of the individuals depicted. Previous results suggest that autistic people may derive less benefit from exposure to this exemplar variation than non-autistic people. To date, however, it remains unclear why. One possibility is that autistic individuals possess atypical perceptual learning mechanisms. Alternatively, however, the learning mechanisms may be intact, but receive low-quality perceptual input from face encoding processes. To examine this second possibility, we investigated whether autistic people are less able to group ambient images of unfamiliar individuals based on their identity. Participants were asked to identify which of four ambient images depicted an oddball identity. Each trial assessed the grouping of different facial identities, thereby preventing face learning across trials. As such, the task assessed participants' ability to group ambient images of unfamiliar people. In two experiments we found that matched non-autistic controls correctly identified the oddball identities more often than our autistic participants. These results imply that poor face learning from variation by autistic individuals may well be attributable to low-quality perceptual input, not aberrant learning mechanisms.

摘要

环境面部图像描绘了来自不同视角、各种姿势和表情的个体,同时还受到不同光照条件的影响。据认为,接触环境图像有助于观察者形成对所描绘个体的稳健表示。先前的研究结果表明,自闭症患者可能从这种范例变化中获得的益处不如非自闭症患者多。然而,到目前为止,还不清楚原因是什么。一种可能性是自闭症个体具有异常的知觉学习机制。或者,学习机制可能是完整的,但从面部编码过程中接收到低质量的知觉输入。为了检验第二种可能性,我们研究了自闭症患者是否不太能够根据个体的身份将不熟悉的个体的环境图像进行分组。参与者被要求识别四张环境图像中的哪一张描绘了一个异类身份。每个试验评估了不同面部身份的分组,从而防止了跨试验的面部学习。因此,该任务评估了参与者对不熟悉人群的环境图像进行分组的能力。在两项实验中,我们发现匹配的非自闭症对照组比我们的自闭症参与者更频繁地正确识别出异类身份。这些结果意味着自闭症患者从变化中学习不佳可能归因于低质量的知觉输入,而不是异常的学习机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6e/9035147/cea5ab6971e9/41598_2022_10630_Fig1_HTML.jpg

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