Reliability of an automated gaze-controlled paradigm for capturing neural responses during visual and face processing in toddlerhood.
Reliability of an automated gaze-controlled paradigm for capturing neural responses during visual and face processing in toddlerhood.
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DOI：
10.1002/dev.22157
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发表时间：
2021-11
影响因子：
2.2
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中科院分区：
文献类型：
--
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脑电(EEG)在检测早期发育过程中的个体差异方面具有重要的潜在价值。目前发育性脑电研究面临的挑战包括高辍学率和低试验次数，这可能部分是由于被动刺激呈现。可比性受到特殊加工管道的挑战。我们提出了一种新的工具箱(“BrainTools”)，它使用视线相关刺激呈现和适合于通过现场低密度脑电记录来测量视觉处理的自动化处理流水线。我们在61名2.5岁至4岁的儿童中测试了该工具箱的可行性，并计算了与视觉(P1)和面孔加工(N290，P400)相关的事件相关电位(ERP)的重测信度(1-2周)。可行性很好，52名幼儿在第一次会议上提供了一些脑电数据。从20项试验中得出的ERP功能的可靠性值是中等的；这将允许将61名幼儿中的79%纳入P1，将82%纳入N290和P400。跨会话的P1波幅/潜伏期比N290和P400更可靠。一般情况下，幅度比潜伏期更可靠。收集和分析与事件相关的脑电数据的自动化和标准化解决方案将使其能够有效地应用于大规模的全球健康研究，为研究个体发育差异打开了巨大的潜力。
Electroencephalography (EEG) has substantial potential value for examining individual differences during early development. Current challenges in developmental EEG research include high dropout rates and low trial numbers, which may in part be due to passive stimulus presentation. Comparability is challenged by idiosyncratic processing pipelines. We present a novel toolbox (“Braintools”) that uses gaze‐contingent stimulus presentation and an automated processing pipeline suitable for measuring visual processing through low‐density EEG recordings in the field. We tested the feasibility of this toolbox in 61 2.5‐ to 4‐year olds, and computed test–retest reliability (1‐ to 2‐week interval) of event‐related potentials (ERP) associated with visual (P1) and face processing (N290, P400). Feasibility was good, with 52 toddlers providing some EEG data at the first session. Reliability values for ERP features were moderate when derived from 20 trials; this would allow inclusion of 79% of the 61 toddlers for the P1 and 82% for the N290 and P400. P1 amplitude/latency were more reliable across sessions than for the N290 and P400. Amplitudes were generally more reliable than latencies. Automated and standardized solutions to collection and analysis of event‐related EEG data would allow efficient application in large‐scale global health studies, opening significant potential for examining individual differences in development.
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