Xu Hong, Xuan Xiaoyan, Zhang Li, Zhang Wenxin, Zhu Min, Zhao Xiaoke
Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China.
Front Neurol. 2021 Nov 3;12:723526. doi: 10.3389/fneur.2021.723526. eCollection 2021.
There has become a consensus for detecting intellectual disability in its early stages and implementing effective intervention. However, there are many difficulties and limitations in the evaluation of intelligence-related scales in low-age children. Eye-tracking technology may effectively solve some of the pain points in the evaluation. We used an eye-tracking technology for cognitive assessment. The subjects looked at a series of task pictures and short videos, the fixation points of which were recorded by the eye-movement analyzer, and the data were statistically analyzed. A total of 120 children aged between 1.5 and 4 years participated in the study, including 60 typically developing children and 60 children with global development delay, all of whom were assessed via the Bayley scale, Peabody Picture Vocabulary Test (PPVT), and Gesell scale. Cognitive scores from eye-tracking technology are closely related to the scores of neuropsychological tests, which shows that the technique performs well as an early diagnostic test of children's intelligence. The results show that children's cognitive development can be quickly screened using eye-tracking technology and that it can track quantitative intelligence scores and sensitively detect intellectual impairment.
目前已就早期发现智力障碍并实施有效干预达成共识。然而，低龄儿童智力相关量表评估存在诸多困难和局限。眼动追踪技术或许能有效解决评估中的一些痛点。我们运用眼动追踪技术进行认知评估。受试者观看一系列任务图片和短视频，眼动分析仪记录其注视点，并对数据进行统计分析。共有120名年龄在1.5至4岁的儿童参与研究，其中包括60名发育正常儿童和60名全球发育迟缓儿童，所有儿童均通过贝利量表、皮博迪图片词汇测验（PPVT）和格塞尔量表进行评估。眼动追踪技术得出的认知分数与神经心理测试分数密切相关，这表明该技术作为儿童智力早期诊断测试表现良好。结果表明，使用眼动追踪技术可快速筛查儿童的认知发展，且能追踪定量智力分数并灵敏检测智力损伤。
