Semantic and syntactic prediction in reading and statistical learning: an fMRI study in dyslexia

authors

• Gavard Elisa
• Chanoine Valérie C
• Geringswald Franziska
• Tan Yufei
• Cavalli Eddy C
• Anton Jean-Luc
• Ziegler Johannes C

keywords

• Semantic and syntactic prediction
• Reading
• Statistical learning
• Dyslexia

document type

abstract

The predictive brain has become a key concept in language research and a dominant theoretical framework for understanding how the brain works. Psycholinguistic and neuroimaging research highlights the importance of anticipatory mechanisms in language comprehension, language production, and reading. In addition, a growing number of studies have used statistical learning (SL) paradigms to investigate whether SL abilities can explain inter-individual differences in language processing and reading abilities. The aims of the study were to, first, focus specifically on the neural network underlying semantic and syntactic predictive processing in reading and second, to understand whether making semantic and syntactic predictions in reading relies on domain-general SL abilities AND whether people with reading impairments (dyslexia) show deficits in these domains.

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