Qu Jing, Qian Liu, Chen Chuansheng, Xue Gui, Li Huiling, Xie Peng, Mei Leilei
Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal UniversityGuangzhou, China.
Department of Psychology and Social Behavior, University of California, IrvineIrvine, CA, United States.
Front Hum Neurosci. 2017 Aug 22;11:424. doi: 10.3389/fnhum.2017.00424. eCollection 2017.
Previous studies have revealed that greater neural pattern similarity across repetitions is associated with better subsequent memory. In this study, we used an artificial language training paradigm and representational similarity analysis to examine whether neural pattern similarity across repetitions before training was associated with post-training behavioral performance. Twenty-four native Chinese speakers were trained to learn a logographic artificial language for 12 days and behavioral performance was recorded using the word naming and picture naming tasks. Participants were scanned while performing a passive viewing task before training, after 4-day training and after 12-day training. Results showed that pattern similarity in the left pars opercularis (PO) and fusiform gyrus (FG) before training was negatively associated with reaction time (RT) in both word naming and picture naming tasks after training. These results suggest that neural pattern similarity is an effective neurofunctional predictor of novel word learning in addition to word memory.
先前的研究表明，重复过程中更高的神经模式相似性与更好的后续记忆相关。在本研究中，我们使用人工语言训练范式和表征相似性分析，来检验训练前重复过程中的神经模式相似性是否与训练后的行为表现相关。24名以中文为母语的人接受了为期12天的表意人工语言学习训练，并使用单词命名和图片命名任务记录行为表现。在训练前、4天训练后和12天训练后，参与者在执行被动观看任务时接受扫描。结果显示，训练前左侧岛盖部（PO）和梭状回（FG）的模式相似性与训练后单词命名和图片命名任务中的反应时间（RT）呈负相关。这些结果表明，神经模式相似性除了对单词记忆外，还是新单词学习的有效神经功能预测指标。
