Sun Xin, Zhang Kehui, Marks Rebecca, Karas Zachary, Eggleston Rachel, Nickerson Nia, Yu Chi-Lin, Wagley Neelima, Hu Xiaosu, Caruso Valeria, Chou Tai-Li, Satterfield Teresa, Tardif Twila, Kovelman Ioulia
Department of Psychology, University of Michigan Ann Arbor.
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology.
Data Brief. 2022 Mar 12;42:108048. doi: 10.1016/j.dib.2022.108048. eCollection 2022 Jun.
This article documents a functional Near-Infrared Spectroscopy (fNIRS) neuroimaging dataset deposited in Deep Blue Data. The dataset included neuroimaging and behavioral data from = 343 children aged 5-11 with a diverse linguistic background, including children who are English monolingual, Chinese-English, and Spanish-English bilingual. Children completed phonological and morphological awareness tasks in each of their languages during fNIRS neuroimaging. They also completed a wide range of language and reading tasks. Parents filled in questionnaires to report children's demographic information as well as their home language and literacy backgrounds. The dataset is valuable for researchers in the field of developmental cognitive neuroscience to further investigate questions such as the effects of bilingualism on children's neural basis for literacy development.
本文记录了一个存储在深蓝数据中的功能性近红外光谱（fNIRS）神经影像数据集。该数据集包含了343名5至11岁、具有不同语言背景儿童的神经影像和行为数据，这些儿童包括英语单语儿童、中英双语儿童以及西英双语儿童。在fNIRS神经影像过程中，儿童用各自的语言完成了语音和形态意识任务。他们还完成了一系列语言和阅读任务。家长填写问卷以报告孩子的人口统计学信息以及他们的家庭语言和读写背景。该数据集对于发展认知神经科学领域的研究人员进一步探究诸如双语对儿童读写能力发展的神经基础的影响等问题具有重要价值。
