Abstract
Objective: 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.Method: 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.Results: 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.Conclusions: 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.
Highlights
Global development delay (GDD) refers to the developmental delay of children under 5 years of age in two or more developmental domains [1]
To distinguish children with GDD from typically developing (TD), eye-tracking technology archived an area under the curve (AUC) of 0.9331, which was comparable with the PPTV (AUC = 0.9669, 95% CI 0.940–0.994) and Gesell scale (AUC = 0.9756, 95% CI 0.954–0.996)
TD and GDD were matched in terms of sex and age, so there was no significant difference between these two indicators (Table 1)
Summary
Global development delay (GDD) refers to the developmental delay of children under 5 years of age in two or more developmental domains [1]. This diagnosis is often used as a transitional diagnosis of intellectual disability (ID) in low-age children. The earlier GDD can be detected and intervention begun, the better the prognosis [4]. This requires that children with GDD be identified using various technologies as frequently as possible
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