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Updated: Feb 12, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Preserved statistical learning in preterm children aged 4-6 years: Evidence from neural and behavioral measures
Liesa Ravijts1, Jorn Othmer2, Petra Warreyn2
1Department of Experimental Psychology, Ghent University, H. Dunantlaan 2, 9000 Ghent, Belgium.
Statistical learning (SL) abilities are preserved in preterm children, suggesting this capacity is resilient. This finding indicates that intact statistical learning is unlikely to explain language deficits in this population.
Area of Science:
- Cognitive Neuroscience
- Developmental Psychology
- Linguistics
Background:
- Statistical learning (SL) is crucial for cognitive processes, especially language acquisition.
- Children born preterm face increased risks for learning and language difficulties.
- SL development in preterm infants remains understudied.
Purpose of the Study:
- To investigate statistical learning abilities in preterm and full-term children aged 4-6 years.
- To assess the relationship between statistical learning, prematurity, and language development.
Main Methods:
- Children were exposed to an artificial language with recurring pseudowords.
- Statistical learning was measured using neural frequency tagging and a serial recall task.
- Language abilities were assessed in a subset of participants.
Main Results:
- Both preterm and full-term children demonstrated robust statistical learning.
- Preterm children's statistical learning performance was comparable to full-term peers.
- Prematurity correlated with lower language scores, but SL did not mediate this effect.
Conclusions:
- Statistical learning abilities appear to be preserved in children born preterm.
- Intact statistical learning is unlikely to be the cause of language deficits in this population.
- SL represents a fundamental and resilient cognitive capacity.
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