Multiple mechanisms regulate statistical learning of orthographic regularities in school-age children: Neurophysiological evidence

Using event-related potentials (ERPs), this study investigated how the brains of Chinese children of different ages extract and encode relational patterns contained in orthographic input. Ninety-nine Chinese children in Grades 1-3 performed an artificial orthography statistical learning task that comprised logographic components embedded in characters with high (100%), moderate (80%), and low (60%) positional consistency. The behavioral results indicated that across grades, participants more accurately recognized characters with high rather than low consistency. The neurophysiological results revealed that in each grade, the amplitude of some ERP components differed, with a larger P1 effect in the high consistency condition and a larger N170 and left-lateralized P300 effect in the low consistency condition. A smaller N170 effect occurred in Grade 3 than in Grade 1, and a larger P300 effect occurred in Grade 1 than in either Grade 2 or 3. These findings suggest the dynamic nature of statistical learning by showing that neural adaptation associated with N170, and attention and working memory related to P1 and P300, regulate different types of structural input, and that children’s abilities to prioritize these mechanisms vary with context and age. •How multiple mechanisms regulate statistical learning remains unknown.•EEG recorded children’s learning of high-, moderate- and low-positional consistencies.•An attenuated N170 for high-consistency reflects neural adaptation.•An enhanced P1 and P300 for low-consistency indicate attention and working memory.•Statistical learning is supported by adaptation, attention and working memory.