Dafnis Batallé

The paper maps cerebellar functional connectivity in neonates, identifying intrinsic networks and cerebro-cerebellar clusters that mature with age, suggesting early foundations of adult organization.

This study examines neonatal functional brain network organisation using fMRI and links it to childhood neurodevelopmental outcomes, finding associations with later difficulties in 4-6 year olds.

This study examines the development of functional brain gradients in neonates using resting-state fMRI, finding that short- and long-range connectivity patterns parallel the emergence of macroscale brain organisation.

This study uses functional connectome harmonics to analyze neonatal brain gradients and finds that power and energy metrics differ between term and preterm neonates, predicting postmenstrual age.

This study examines how thalamocortical innervation timing and spatial distribution influence cortical network formation during gestation, finding that hubs emerge from spatiotemporal constraints rather than preferential targeting.

This study maps the postnatal development of brain networks for pain processing in infants, showing differential maturation of sensory, affective, and cognitive pain subnetworks.

This study uses in vivo tractography to examine neonatal white matter pathways related to hypothalamic and reward functions, linking early-life factors to later neurodevelopmental and obesity outcomes.

This study examines functional connectivity differences between preterm and term adults and identifies behavioral subgroups with distinct connectivity patterns.

This paper reviews how 1/f exponents in EEG data change across early human brain development, finding complex age-related trends and regional shifts in aperiodic exponents.

This study examines dynamic functional connectivity in neonatal brains using fMRI and links it to neurodevelopmental outcomes in early childhood.

This study identifies behavioral subgroups in very preterm children using integrated similarity networks and links them to neonatal brain structure and function differences.

The paper examines how functional brain centrality develops in neonates and how preterm birth affects it, finding age-related changes and regional differences but no direct link to 18-month neurodevelopmental outcomes.

This study identifies factors linked to early autism traits in toddlers using a community cohort, finding associations with parenting style and socio-economic deprivation.

The paper investigates the role of common genetic variation in neonatal subcortical brain development by examining SNP associations and polygenic scores from adult studies.

The paper identifies a stable structural connectome fingerprint in preterm neonates that can distinguish individuals more effectively than functional connectomes.

This paper uses machine learning to predict neonatal brain age and clinical risk from structural connectomes, finding thalamocortical connections are key predictors of developmental outcomes.

The paper uses neonatal cortical connectivity data to predict 18-month developmental outcomes, finding that structural covariance networks predict social-emotional performance.

This study examines how gestational age at birth affects structural brain development in healthy term-born infants and links these changes to neurodevelopmental outcomes at 18 months.

This study examines how preterm birth affects cortical development in infants at term-equivalent age using MRI, finding altered microstructure and morphology with individual variability.

This paper develops a multi-channel 4D atlas of neonatal brain development combining structural and diffusion MRI data, showing microstructural differences between term and preterm infants.

The paper analyzes neonatal functional MRI data to study functional connectivity in term and preterm infants, finding age-related maturation and preterm birth-related disruptions in brain networks.

This paper applies unsupervised domain adaptation techniques to segment neonatal brain MRI data from a preterm population, improving segmentation accuracy and enabling analysis of cortical thickness and language outcomes.

The paper develops normative brain volumetric development curves for term-born infants and compares preterm infants to these curves, identifying individual deviations linked to clinical factors and neurocognitive outcomes.

The paper develops cortical profiles in neonatal brains using MRI to track morphometric and microstructural changes, revealing how network similarity evolves over time.

This study examines ADHD symptoms in very preterm children, finding higher rates of subthreshold ADHD and associations with cognitive and socio-demographic factors.

The paper investigates microstructural cortex development in neonates with congenital heart disease and finds impaired oxygen delivery correlates with abnormal microstructure.