Application of eye tracking technology in clinical diagnosis of autism spectrum disorder

SUN Bin-bin, WEI Zhen, FENG Zhe, ZHANG Shi, LIU Ya-ling, YANG Jie, WAN Guo-bin

Chinese Journal of Child Health Care ›› 2020, Vol. 28 ›› Issue (1) : 10-14.

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Chinese Journal of Child Health Care ›› 2020, Vol. 28 ›› Issue (1) : 10-14. DOI: 10.11852/zgetbjzz2019-0974

Application of eye tracking technology in clinical diagnosis of autism spectrum disorder

  • SUN Bin-bin, WEI Zhen, FENG Zhe, ZHANG Shi, LIU Ya-ling, YANG Jie, WAN Guo-bin
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Abstract

Objective To understand the eye track pattern and clinical behavior characteristics of autism spectrum disorder(ASD )children with eye track biased to look at social figures, and to provide an Objective basis for clinical diagnosis, thus to provide guidance for early intervention. Methods A retrospective analysis of the Results of eye track and behavioral scales of 107 ASD children in the department from January to June 2019 were conducted according to the consistency of eye movement Results and clinical diagnosis:consistent group (geometric gaze time > person gaze time, and clinical diagnosis of ASD), non-consistent group (geometric gaze time < character gaze time, and clinical diagnosis of ASD), using independent sample t test to compare differences between the two groups of ASD children. And a two-class Logistic regression was used to establish a model for assisted clinical diagnosis. Results 1)General situation:there was no significant difference in age between the two groups (P>0.05), but the Autism Rating Scale(CARS) score of children in the ASD group was significantly higher than that in the non-consistent group (t=2.39,P<0.05).2)The Results of the relevant scales were consistent.The fine motor assessment and social skills assessment of children with ASD were significantly behind the non-consistent group (t=-1.61,-2.65,P<0.05), and there was no significant difference between the two groups (P>0.05).3)Eye track results: two groups for the first time, children paid attention to the different areas of interest of their faces, and their gaze paths were different.Among them, the consistent group focused on the mouth area for the first time, and the non-consistent group initially focused on other areas; The eye track gaze time of the non-core area of the consistent group ASD children was significantly higher than that of the non-consistent group, and the fixation time(FT) of the eyes and mouth was significantly lower than that of the non-core group.In the consistent group (t=2.47,-2.21,-3.51,P<0.05), there was no significant difference in eyetrack FT between the two groups in the nose and other areas (P>0.05).4)Establish the model:Ln(P/1-P)=β01X12X23X3+…+βnXn=0.09XCARS-0.07XSocialskills-0.05XFine action+0.01XFirst fixation time+0.01Xfixation time, the sensitivity of this model was consistent with 79.4%, specificity with 74.2%, the total judgment rate was 75.9%. Conclusions ASD children biased towards social figures are more sensitive to social skills and fine motor skills than ASD children biased towards geometric figures, and their degree of disease is mild.The established auxiliary model has certain value for clinical diagnosis.

Key words

autism spectrum disorder / eye tracking / gaze paths / consistency / logistic regression analysis

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SUN Bin-bin, WEI Zhen, FENG Zhe, ZHANG Shi, LIU Ya-ling, YANG Jie, WAN Guo-bin. Application of eye tracking technology in clinical diagnosis of autism spectrum disorder[J]. Chinese Journal of Child Health Care. 2020, 28(1): 10-14 https://doi.org/10.11852/zgetbjzz2019-0974

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