Jonathan O’Muircheartaigh

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 paper uses a semi-supervised autoencoder to create multivariate normative models of brain structure and behaviour in children, showing associations between structural deviations and cognitive/behavioural differences.

This study uses simultaneous EEG and fMRI in neonates to investigate how the brain detects sound sequence deviance, finding localized processing in sensory and limbic systems.

This paper introduces a seed-based functional covariance modes approach to infer whole-brain functional networks in fetal brains, revealing that key neonatal network features are present in utero.

This paper validates a motion correction technique, DISORDER, for pediatric brain morphometry, showing improved reliability for motion-degraded scans compared to conventional MPRAGE.

This study identifies common cortical folding patterns across age groups using hierarchical surface registration, revealing hemispheric asymmetry and dissociation between folding and functional organisation.

This study shows that including zero-phase-delay connectivity improves the reliability and prognostic ability of functional connectivity metrics in neural populations.

The paper describes the release of a large fetal fMRI dataset and presents methods for its preprocessing and analysis to study in utero brain connectivity.

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

This study identifies depth-dependent cortical microstructure alterations in children with focal epilepsy using quantitative MRI, suggesting potential pre-symptomatic changes detectable regardless of radiological abnormalities.

The paper examines microstructural changes in fetal brain compartments before cortical folding begins, finding that anisotropy decreases in subplate and cortical plate regions prior to sulcal pit formation.

The paper shows that functional connectivity gradients in resting state networks are present in the human fetal brain from 25 weeks gestation, with spatial consistency increasing in primary sensory and motor networks.

This paper introduces a new analytical framework called matnets to study fetal brain connectivity, revealing that high-level associative areas develop functional connections before birth.

This study uses MRI to compare brain volumes in neonates with Down syndrome to a control group, finding reduced whole brain volume in DS infants.

This study uses diffusion MRI to track thalamocortical pathway maturation in human fetal brains, identifying key neurobiological changes in the second to third trimester.

The paper investigates structural and functional asymmetry in the neonatal cerebral cortex using MRI data from term and preterm neonates and adults.

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.

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.

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.

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 links cortical morphology at birth to gene expression patterns in the fetal brain and shows preterm birth disrupts this relationship.

This paper introduces an automated pipeline for processing neonatal resting-state fMRI data, improving motion correction and quality assurance in the developing Human Connectome Project.

This study examines functional connectivity changes during and after cold pain in healthy volunteers, finding persistent alterations related to reported pain intensity.

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 identifies functional connectivity differences in the posteromedial cortex across Alzheimer’s disease stages using constrained ICA and ADNI data.

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

This study examines the development of amygdala functional networks in infants and young children using resting-state fMRI, finding that key networks are already present at 3 months and evolve with age.