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7.5 个月大婴儿在自动化视觉识别记忆任务中的表现特征。

Characterization of performance on an automated visual recognition memory task in 7.5-month-old infants.

机构信息

Neuroscience Program, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, United States of America; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, United States of America.

Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, United States of America; Department of Comparative Biosciences, University of Illinois at Urbana-Champaign, 3505 Veterinary Medicine Basic Sciences Building, 2001 S. Lincoln Ave., Urbana, IL 61802, United States of America.

出版信息

Neurotoxicol Teratol. 2020 Sep-Oct;81:106904. doi: 10.1016/j.ntt.2020.106904. Epub 2020 May 30.

Abstract

Infant looking behaviors measured during visual assessment paradigms may be more reliable predictors of long-term cognitive outcomes than standard measures such as the Bayley Scales of Infant Development typically used in environmental epidemiology. Infrared eye tracking technology offers an innovative approach to automate collection and processing of looking behavior data, making it possible to efficiently assess large numbers of infants. The goals of this study were to characterize infant looking behavior measures including side preference, fixation duration, and novelty preference using eye tracking and an automated version of an established visual recognition memory paradigm that includes both human faces and geometric figures as stimuli. An ancillary goal was to assess the feasibility of obtaining a precise measure of looking to the eye region of faces from the eye-tracking data. In this study, 309 7.5-month-old infants from a prospective birth cohort were assessed using a visual recognition memory (VRM) paradigm. Infrared eye tracking was used to record looking time as infants were shown nine blocks of trials with a pair of identical faces or shapes followed by two trials in which the familiar stimulus was paired with a novel one. Infants were assessed in one of four conditions: in conditions A and B, stimulus set 1 were the familiar stimuli and set 2 were novel; in conditions C and D, set 2 were familiar and set 1 novel. The novel stimuli were presented on the right first in conditions A and C and on the left first in conditions B and D. We observed a significant right side preference, which has not been reported before (57% of looking time spent looking at right side stimulus, p-value < 0.0001). Infants showed a preference for the novel stimuli similar to that published in prior studies (57-60% of looking time spent looking at the novel stimulus, p-value < 0.0001), as well as average fixation durations similar to previous studies. Infants also showed a strong preference for the eyes versus the rest of the face (p-value < 0.0001). Novelty preference was significantly higher when set 2 stimuli were novel (p-value < 0.0001), suggesting a preference among infants for set 2 stimuli compared to set 1 stimuli. The pattern of novelty preference across trials was significantly different between infants who saw the novel stimuli on the left first and those who saw them on the right first (p-value < 0.0001) but the overall mean novelty preference was not significantly different between these groups. There were also significant differences in average fixation duration and eyes preference measures across stimuli (p-values < 0.05). These findings show that VRM assessment can be automated for use in large-scale epidemiological studies using infrared eye tracking with looking behavior measure results similar to those obtained with standard non-automated methods, and that side and stimulus preferences are important modifiers of looking behavior that are critical to consider in this type of assessment.

摘要

在视觉评估范式中测量的婴儿行为可能比标准测量(如常用于环境流行病学的贝利婴幼儿发育量表)更能可靠地预测长期认知结果。红外眼动追踪技术为自动收集和处理注视行为数据提供了一种创新方法,使得可以高效地评估大量婴儿。本研究的目的是使用眼动追踪和一种已建立的视觉识别记忆范式的自动版本来描述婴儿的注视行为测量,该范式包括人类面孔和几何图形作为刺激。一个辅助目标是评估从眼动追踪数据中获得对脸部眼部区域精确注视测量的可行性。在这项研究中,来自前瞻性出生队列的 309 名 7.5 个月大的婴儿使用视觉识别记忆(VRM)范式进行评估。使用红外眼动追踪记录注视时间,当婴儿观看 9 个包含一对相同面孔或形状的试验块,然后观看两个熟悉刺激与新刺激配对的试验块时,记录注视时间。婴儿在四种条件之一中进行评估:在条件 A 和 B 中,刺激集 1 是熟悉的刺激,刺激集 2 是新的刺激;在条件 C 和 D 中,刺激集 2 是熟悉的,刺激集 1 是新的。在条件 A 和 C 中,新刺激首先出现在右侧,在条件 B 和 D 中,新刺激首先出现在左侧。我们观察到显著的右侧偏好,这是以前没有报道过的(57%的注视时间花在右侧刺激上,p 值<0.0001)。婴儿对新刺激的偏好与之前研究相似(57-60%的注视时间花在新刺激上,p 值<0.0001),平均注视持续时间也与之前研究相似。婴儿也表现出对眼睛相对于脸部其他部位的强烈偏好(p 值<0.0001)。当刺激集 2 是新的时,新颖偏好显著更高(p 值<0.0001),这表明婴儿对刺激集 2 的偏好高于对刺激集 1 的偏好。在首先看到新刺激的左侧和首先看到新刺激的右侧的婴儿之间,新颖偏好的模式在试验之间有显著差异(p 值<0.0001),但这两个组之间的总体新颖偏好没有显著差异。在平均注视持续时间和眼睛偏好测量方面,刺激之间也存在显著差异(p 值<0.05)。这些发现表明,使用红外眼动追踪,VRM 评估可以自动化,用于大规模的流行病学研究,其注视行为测量结果与使用标准非自动化方法获得的结果相似,并且侧面和刺激偏好是注视行为的重要修饰符,在这种评估中需要考虑。

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