Department of Psychology, The Chinese University of Hong Kong, Hong Kong.
Haskins Laboratories, CT, USA.
Brain Lang. 2021 Sep;220:104984. doi: 10.1016/j.bandl.2021.104984. Epub 2021 Jun 25.
EEG network modularity, as a proxy for cognitive plasticity, has been proposed to be a more reliable neural marker than power and coherence in predicting learning outcomes. The present study examined the associations between resting state EEG network modularity and both L1 Chinese and L2 English literacy skills among 90 Hong Kong first to fifth graders. The modularity indices of different frequency bands were highly correlated with one another. An exploratory factor analysis, performed to extract a general modularity index, explained 77.1% of the total variance. The modularity index was positively associated with Chinese word reading, Chinese phonological awareness, Chinese morphological awareness, and Chinese reading comprehension but was not significantly correlated with English word reading or English morphological awareness. Findings suggest that resting state EEG network modularity is likely to serve as a reasonable, reliable, and cost-effective neural marker of the development of first language but not second language literacy skills.
脑电图网络模块化，作为认知灵活性的替代指标，已被提出比功率和相干性更能可靠地预测学习结果。本研究通过 90 名香港一年级至五年级学生，考察了静息态脑电图网络模块化与母语中文和第二语言英语读写能力之间的关系。不同频段的模块化指数彼此高度相关。为提取一般模块化指数而进行的探索性因子分析，解释了总方差的 77.1%。模块化指数与中文阅读、中文语音意识、中文形态意识和中文阅读理解呈正相关，但与英文阅读或英文形态意识没有显著相关性。研究结果表明，静息态脑电图网络模块化可能是母语读写能力发展的合理、可靠和具有成本效益的神经标志物，但不是第二语言读写能力的神经标志物。
