Anthony N. Price

Verifying the concordance between motion corrected and conventional MPRAGE for pediatric morphometric analysis

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

The developing Human Connectome Project fetal functional MRI release: Methods and data structures

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.

Molecular signatures of cortical expansion in the human fetal brain

The paper presents a 3D digital atlas of the human fetal brain at 21 weeks gestation, revealing molecular signatures of cortical expansion linked to neurogenesis timing and evolutionary boundaries.

Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment

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

Widespread, depth-dependent cortical microstructure alterations in paediatric focal epilepsy

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.

Dynamic changes in subplate and cortical plate microstructure precede the onset of cortical folding in vivo

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.

Maturational networks of fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure

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.

BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI

The paper introduces a deep learning pipeline for automated fetal brain segmentation and volumetry, showing reduced need for manual refinement and agreement with manual segmentations in clinical cases.

Spatiotemporal tissue maturation of thalamocortical pathways in the human fetal brain

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

Structural and functional asymmetry of the neonatal cerebral cortex

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

Development of neonatal brain functional centrality and alterations associated with preterm birth

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.

Neurophysiological basis of hemodynamic responses in the developing human brain before the time of normal birth

This study investigates neurovascular coupling in preterm infants using EEG and fMRI, finding a relationship between EEG microstate duration and BOLD signal amplitude.

Common Genetic Variation Important in Early Subcortical Brain Development

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 developing brain structural and functional connectome fingerprint

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

Predicting age and clinical risk from the neonatal connectome

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.

Neonatal multi-modal cortical profiles predict 18-month developmental outcomes

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

Effects of gestational age at birth on perinatal structural brain development in healthy term-born babies

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.

Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age

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.

Multi-channel 4D parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

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 Developing Human Connectome Project: typical and disrupted perinatal functional connectivity

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.

Phenotyping the preterm brain: characterising individual deviations from normative volumetric development in two large infant cohorts

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.

Cortical morphology at birth reflects spatio-temporal patterns of gene expression in the fetal human brain

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

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

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.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging

The paper optimizes multi-shell diffusion MRI acquisition parameters using a data-driven approach, resulting in a specific protocol for neonatal imaging.

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

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

Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correction

This paper introduces a method for fetal diffusion MRI reconstruction with intensity correction, enabling detailed analysis of brain connectivity and microstructure in-utero.

The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction

The paper introduces a fully automated pipeline for neonatal cortical surface reconstruction from MRI, achieving high accuracy in 85% of cases.

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

A linearly scaling groupwise method jointly estimates mean brain shape and longitudinal change across 275 neonates (35 to 44 weeks post-menstrual age), yielding a temporally consistent morphological atlas.

Multimodal Surface Matching with Higher-Order Smoothness Constraints

This paper introduces a new regularization method for cortical surface alignment in brain imaging, improving the robustness and biological interpretability of multi-modal data alignment.