Department of Psychology and Center for Brain, Behavior, and Cognition, Pennsylvania State University, University Park, PA, 16802, USA.
Kokoro Research Center, Kyoto University, 46 Yoshidashimoadachi-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Sci Rep. 2019 Jul 23;9(1):10678. doi: 10.1038/s41598-019-47176-7.
How do students gain scientific knowledge while reading expository text? This study examines the underlying neurocognitive basis of textual knowledge structure and individual readers' cognitive differences and reading habits, including the influence of text and reader characteristics, on outcomes of scientific text comprehension. By combining fixation-related fMRI and multiband data acquisition, the study is among the first to consider self-paced naturalistic reading inside the MRI scanner. Our results revealed the underlying neurocognitive patterns associated with information integration of different time scales during text reading, and significant individual differences due to the interaction between text characteristics (e.g., optimality of the textual knowledge structure) and reader characteristics (e.g., electronic device use habits). Individual differences impacted the amount of neural resources deployed for multitasking and information integration for constructing the underlying scientific mental models based on the text being read. Our findings have significant implications for understanding science reading in a population that is increasingly dependent on electronic devices.
学生在阅读说明文时如何获得科学知识?本研究考察了文本知识结构的潜在神经认知基础以及个体读者的认知差异和阅读习惯,包括文本和读者特征对科学文本理解结果的影响。通过结合与注视相关的 fMRI 和多波段数据采集,该研究首次在 MRI 扫描仪内考虑了自我调节的自然阅读。我们的研究结果揭示了与文本阅读过程中不同时间尺度的信息整合相关的潜在神经认知模式,以及由于文本特征(例如,文本知识结构的最优性)和读者特征(例如,电子设备使用习惯)之间的相互作用而产生的显著个体差异。个体差异影响了为多任务处理和信息整合分配的神经资源的数量,以便根据正在阅读的文本构建潜在的科学心理模型。我们的研究结果对理解越来越依赖电子设备的人群的科学阅读具有重要意义。