Ghislaine Dehaene‐Lambertz

This paper introduces a unifying framework for statistical learning across temporal scales, showing a single mechanism can capture both local and higher-order patterns in data.

A Python/MNE port of the APICE infant EEG preprocessing pipeline flags more artifacts than the MATLAB original but gives similar ERP measurement error in neonates and 5-month-olds.

A supervised digital game intervention improved language and communication skills in young children aged 2-5 years.

This study uses longitudinal fMRI to track how neural responses to math and non-math statements develop in children from preschool to second grade, identifying changes in brain networks and activation patterns.

This study uses fMRI to identify distinct brain networks for language, mathematics, and social knowledge, showing similar activation patterns across written and spoken modalities.

The paper examines neural speech processing differences in infants at high and low likelihood for autism using EEG, finding reduced syllable tracking in high likelihood infants linked to verbal outcomes.

This study examines how education and music training influence early abstraction abilities in children through behavioral experiments.

The paper investigates whether neonates can detect statistical regularities in speech, showing they process both phonetic and voice dimensions and respond specifically to phonetic regularities.

This study uses fMRI to compare neural responses to reversible symbolic associations in humans and monkeys, finding humans show surprise in both directions while monkeys only in the learned direction.

The paper examines how environmental and biological factors influence functional connectivity in the superior temporal sulcus (STS) of neonates, revealing sex and prematurity effects on brain network development.

The paper investigates how humans process auditory sequences with network structures using MEG, finding rapid encoding of network structure and a long-horizon associative learning mechanism.

This study investigates whether statistical learning occurs in patients with impaired consciousness by analyzing their ability to extract regularities from an artificial language using EEG frequency tagging.

This study shows that 31-week gestational age neonates can detect auditory sequence regularity violations, with full-term neonates showing a more mature mismatch response pattern.

The paper examines event-related variability in neural responses across age groups, finding structured patterns influenced by task difficulty in infants.

The paper shows humans use compressed network models to represent auditory sequences, pruning and completing relationships to efficiently capture both local and high-order structures.

This study shows that tracking transitional probabilities and segmenting auditory sequences are separate processes in adults and neonates, with prosodic cues aiding segmentation and learning increasing neural similarity across infants.

The paper examines how reading and face processing circuits develop in children, showing word-specific responses emerge with reading while face responses evolve with age, and both areas have pre-existing functional connectivity.

The paper investigates how neonates process and retain an artificial language, finding a two-step learning strategy involving neural entrainment and memory of syllable sequences.

APICE is an automated EEG preprocessing pipeline for infants that adapts to different ages and experimental conditions, validated on two datasets.

This study identifies orthogonal neural codes for phonetic features in 3-month-old infants using EEG, revealing structured representations that support early speech perception and language acquisition.

This study examines the neural mechanisms of reading acquisition and disabilities in French and Chinese children, finding similar brain circuits and activation patterns across writing systems.

This study uses MEG to show newborns can learn hierarchical auditory rules, with early responses to first-order violations and late responses to second-order violations in active infants.

The paper identifies an enhancer locus in 14q23.1 associated with brain asymmetry in regions involved in language processing, using UK Biobank and IMAGEN data.

This study examines the relationship between auditory functional responses and structural brain maturation in infants using EEG and MRI.

This study shows that 5-month-old infants can form abstract symbolic representations and map them to arbitrary labels, suggesting symbolic thinking begins before language.

The paper identifies genetic variants influencing brain sulcal widening using UK Biobank data, finding an eQTL for KCNK2 associated with cortical atrophy and cognitive decline.

This study shows 3-month-old infants can learn to pair phonemes with visual shapes, suggesting early foundations for grapheme-phoneme pairing in reading.