Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Abnormal Facial Perception in Adult amblyopia: Evidence from Behavioral Experiments
Author Affiliations & Notes
  • Xiaolu Ming
    Optometry and Visual Science, West China Hospital of Sichuan University, Chengdu, Sichuan, China
  • Gantian Huang
    Optometry and Visual Science, West China Hospital of Sichuan University, Chengdu, Sichuan, China
  • Meng Liao
    Optometry and Visual Science, West China Hospital of Sichuan University, Chengdu, Sichuan, China
    Ophthalmology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
  • ping jiang
    Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China
  • Longqian Liu
    Optometry and Visual Science, West China Hospital of Sichuan University, Chengdu, Sichuan, China
    Ophthalmology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
  • Footnotes
    Commercial Relationships   Xiaolu Ming None; Gantian Huang None; Meng Liao None; ping jiang None; Longqian Liu None
  • Footnotes
    Support   National Natural Science Foundation of China(NSFC 82070996)
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 5210. doi:
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      Xiaolu Ming, Gantian Huang, Meng Liao, ping jiang, Longqian Liu; Abnormal Facial Perception in Adult amblyopia: Evidence from Behavioral Experiments. Invest. Ophthalmol. Vis. Sci. 2024;65(7):5210.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : The association between facial perception ability and stimulus intensity in adult with amblyopia remains unclear. We speculate that there is a functional relationship between face perception ability and stimulus signal intensity in adult amblyopia, and the threshold value of face recognition ability can be quantified.

Methods : Stimulus Design
Twelve adults with amblyopia (mean age 28.83± 5.4 years SEM) and ten health controls were recruited in this study. We began with sensory responses ranging from 1% to 80% and created six external noise points using MATLAB.We combined three pure noise images with different standard deviations (64, 256, and 1024) in specific proportions. All images were randomized during generation. These were merged with face images adjusted by a mixed parameter λ.
Behavioral experiments
A sham-controlled, cross-over, double-blind study design was adopted. All patients received perceptual learning with the task of identifying face pictures under the condition of BCVA. One session of training contained 120 face judgement trails, including six noise gradients, each containing 20 images of faces which appeared randomly. Session was repeated twice with each eye. Patients could choose to rest for minutes after every block.
Statistical Analysis
The two groups do not follow a normal distribution, so we utilized a rank-sum test to analyze if there exists a statistical difference in the perceptual responses between the two groups. Subsequently, we employed Origin software for visualization, aiming to explore the abnormality in facial recognition ability among adult amblyopic patients.

Results : Notably, at a noise level of 0.8, a statistically significant difference (p=0.004, p<0.05) in accuracy rates between the amblyopic and control groups was observed. We plotted face perception cognitive curves for the amblyopia and normal groups, using stimulus intensity on the horizontal axis and subjects' sensory response on the vertical axis.

Conclusions : Facial recognition ability in adult amblyopic patients is lower compared to health controls.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

Fig.1 Paradigm design

Fig.1 Paradigm design

 

Fig 2 Quantitative Differences in Facial Recognition Ability Between Adults with Amblyopia and Normal Individuals. a) Deep red and deep gray represent the 95% confidence interval. b) dark gray and light gray represent the 95% prediction band.c) HC group and AA group are represented by distinct functional equations as above.

Fig 2 Quantitative Differences in Facial Recognition Ability Between Adults with Amblyopia and Normal Individuals. a) Deep red and deep gray represent the 95% confidence interval. b) dark gray and light gray represent the 95% prediction band.c) HC group and AA group are represented by distinct functional equations as above.

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