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Limiting data loss in infant EEG: putting hunches to the test.
Developmental Cognitive Neuroscience ( IF 4.7 ) Pub Date : 2020-06-26 , DOI: 10.1016/j.dcn.2020.100809
Bauke van der Velde 1 , Caroline Junge 1
Affiliation  

EEG is a widely used tool to study the infant brain and its relationship with behavior. As infants usually have small attention spans, move at free will, and do not respond to task instructions, attrition rates are usually high. Increasing our understanding of what influences data loss is therefore vital. The current paper examines external factors to data loss in a large-scale on-going longitudinal study (the YOUth project; 1279 five-month-olds, 1024 ten-months-olds, and 109 three-year-olds). Data loss is measured for both continuous EEG and ERP tasks as the percentage data loss after artifact removal. Our results point to a wide array of external factors that contribute to data loss, some related to the child (e.g., gender; age; head shape) and some related to experimental settings (e.g., choice of research assistant; time of day; season; and course of the experiment). Data loss was also more pronounced in the ERP experiment than in the EEG experiment. Finally, evidence was found for within-subject stability in data loss characteristics over multiple sessions. We end with recommendations to limit data loss in future studies.



中文翻译:

限制婴儿脑电图的数据丢失:应对预感。

脑电图是研究婴儿大脑及其与行为关系的一种广泛使用的工具。由于婴儿的注意力跨度通常很小,可以随意移动,而且对任务指示没有反应,因此流失率通常很高。因此,加深我们对影响数据丢失的影响的认识至关重要。当前的论文在大规模的纵向研究中研究了造成数据丢失的外部因素(YOUTH项目; 1279个5个月大的孩子,1024个10个月大的孩子和109个3岁大的孩子)。连续EEG和ERP任务的数据丢失均以去除工件后的数据丢失百分比来衡量。我们的结果表明,造成数据丢失的各种外部因素,有些与孩子有关(例如,性别,年龄,头部形状),有些与实验环境有关(例如,选择研究助手;一天中的时间;季节) ; 和实验过程)。与EEG实验相比,ERP实验中的数据丢失也更为明显。最后,找到了关于多个会话中数据丢失特征的受试者内部稳定性的证据。我们以减少将来研究中的数据丢失的建议为结尾。

更新日期:2020-06-26
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