Faculty of Medicine, Ankara Yıldırım Beyazıt University, Turkey.
Adv Clin Exp Med. 2024 Jan;33(1):13-19. doi: 10.17219/acem/162922.
Research on the diagnosis, treatment and pathophysiology of neurodevelopmental disorders is multifaceted, requiring the use of genetics, imaging, psychology, and artificial intelligence (AI). Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by a limited ability to communicate and a limited interest in social environments. Facial recognition is really important in daily life. Seeing faces in unusual objects, e.g., a face in a cloud, is called face pareidolia.
Although more evidence points to a greater role of genetic factors in ASD, neuropsychological tests have an important role in diagnosing ASD. The aim of the study was to investigate how face perception is processed in children with autism using a new digital test that consists of faces and pareidolia images.
Twenty typically developing (TD) children (8 male, 12 female) between 6 and 16 years of age and 21 children with ASD (14 male, 7 female) between 6 and 14 years of age were included in the study. A new neuropsychological test called the digital pareidolia test was administered to the participants. The study consisted of 2 stages: a face condition and a pareidolia condition.
Our results showed that children with autism (n = 21) were less successful in identifying both face and pareidolia images, and were slower to react in both conditions than children from the TD group. Both children with ASD and the TD group reacted faster to face images than pareidolia images.
The findings in this study are in agreement with atypical and different face perceptions in autism which cause social difficulties. We demonstrated that the digital face and pareidolia test has considerable potential for use as a neuropsychological test that can specify the diagnosis and progression of autism in subclinical areas. Pareidolia faces and real faces are processed in a common way.
神经发育障碍的研究涉及多个方面,需要使用遗传学、影像学、心理学和人工智能(AI)。自闭症谱系障碍(ASD)是一种神经发育障碍,其特征是沟通能力有限,对社会环境的兴趣有限。面部识别在日常生活中非常重要。在不寻常的物体中看到人脸,例如在云中看到人脸,称为面孔错觉。
尽管越来越多的证据表明遗传因素在 ASD 中起更大的作用,但神经心理学测试在 ASD 的诊断中具有重要作用。本研究旨在使用一种新的数字测试来研究自闭症儿童的面部感知是如何处理的,该测试由面部和错觉图像组成。
研究纳入了 20 名正常发育(TD)儿童(8 名男性,12 名女性),年龄在 6 至 16 岁之间,21 名自闭症儿童(14 名男性,7 名女性),年龄在 6 至 14 岁之间。参与者接受了一种新的神经心理学测试,称为数字错觉测试。研究包括 2 个阶段:面部条件和错觉条件。
我们的结果表明,自闭症儿童(n = 21)在识别面部和错觉图像方面都不太成功,在两种情况下的反应速度都比 TD 组的儿童慢。自闭症儿童和 TD 组对人脸图像的反应都比对错觉图像的反应快。
本研究的结果与自闭症中的异常和不同的面部感知一致,这导致了社交困难。我们证明,数字人脸和错觉测试具有相当大的潜力,可以作为神经心理学测试,用于在亚临床领域指定自闭症的诊断和进展。错觉人脸和真实人脸以共同的方式进行处理。