Beta-band modulation reveals the cortical dynamics of auditory statistical learning in children

Children's ability to extract statistical regularities from speech is considered fundamental to lexical, syntactic, and grammatical development. However, the neural oscillatory mechanisms supporting this process in childhood remains poorly understood. While beta-band oscillations have been linked to statistical learning in visual and motor domains, it is unclear whether similar dynamics support auditory statistical learning in children. In this study, we recorded electroencephalography (EEG) from children aged 8-12 years as they listened to a continuous stream of trisyllabic nonwords (e.g., dapiku), where syllable order within each nonword was fixed (high predictability), but transitions between nonwords were variable (low predictability). Beta power was significantly lower for the more predictable second and third syllables relative to the less predictable first syllable. This effect emerged only after repeated exposure and was localised to left prefrontal electrodes. Beta power also correlated with post-exposure recognition accuracy. Additional learning-related modulations were observed in the theta-alpha and delta-theta bands, suggesting broader oscillatory engagement. These findings indicate that auditory statistical learning in middle childhood engages frequency-specific neural dynamics, with beta power modulations showing parallel effects to those observed in other modalities.

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Journal
Cortex
Published
2025-11-20
DOI
https://doi.org/10.1016/j.cortex.2025.11.003
Primary Topic
Neural dynamics and brain function
Type
article
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article

Beta-band modulation reveals the cortical dynamics of auditory statistical learning in children

Li‐Ann Leow, Laura Batterink, Christine Moreau, Marc F. Joanisse et al.
Cortex
Neural dynamics and brain function
article

Beta-band modulation reveals the cortical dynamics of auditory statistical learning in children

Li‐Ann Leow, Laura Batterink, Christine Moreau, Marc F. Joanisse, Welber Marinovic, Jarrad A. G. Lum, Sarah J Lum
article en

Abstract

Children's ability to extract statistical regularities from speech is considered fundamental to lexical, syntactic, and grammatical development. However, the neural oscillatory mechanisms supporting this process in childhood remains poorly understood. While beta-band oscillations have been linked to statistical learning in visual and motor domains, it is unclear whether similar dynamics support auditory statistical learning in children. In this study, we recorded electroencephalography (EEG) from children aged 8-12 years as they listened to a continuous stream of trisyllabic nonwords (e.g., dapiku), where syllable order within each nonword was fixed (high predictability), but transitions between nonwords were variable (low predictability). Beta power was significantly lower for the more predictable second and third syllables relative to the less predictable first syllable. This effect emerged only after repeated exposure and was localised to left prefrontal electrodes. Beta power also correlated with post-exposure recognition accuracy. Additional learning-related modulations were observed in the theta-alpha and delta-theta bands, suggesting broader oscillatory engagement. These findings indicate that auditory statistical learning in middle childhood engages frequency-specific neural dynamics, with beta power modulations showing parallel effects to those observed in other modalities.

CortexVol. 194
Edith Cowan University (AU), Western University (CA), Deakin University (AU), Curtin University (AU), Monash Health (AU)
Openalex Percentile: Top 65%
Neural dynamics and brain function
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