Anthony David Edwards

This study examines psychotic-like experiences in children born very preterm compared to full-term controls in two cohorts, finding increased vulnerability in perceptual abnormalities but no replication in a population-based cohort.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

This study identifies a consistent cortical signature of very preterm birth across development and links it to neurodevelopmental outcomes.

This study uses 7 Tesla fMRI to examine BOLD responses in newborns and adults, showing depth-dependent changes in cortical activity related to development.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

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 links ASD common genetic variants to regional brain volume differences in newborns, finding positive associations with frontal and fronto-temporal volumes and negative associations with parietal and parieto-occipital volumes.

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

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.

This paper conducts a genome-wide association meta-analysis of age at onset of walking, identifying 11 loci and showing genetic correlations with ADHD, BMI, intelligence, and brain structure.

The paper constructs an age-dependent spatio-temporal atlas of the growing brain using anatomical datasets and kernel-based regression, then registers fMRI activation data to model brain network development.

This study uses the Vogt-Bailey index to analyze cortical microstructure gradients in preterm and term infants, finding spatially distributed alterations in preterm infants.

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

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.

This paper develops a generative model to simulate cortical surface development and assesses its ability to predict cognitive outcomes in preterm infants.

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.

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.

This study assesses visual attention in toddlers using eye-tracking data from 350 participants and introduces a shared data resource for research.

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

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.

This paper generalises the HCP multimodal cortical parcellation to UK Biobank data using a geometric deep learning framework, improving detection rates across cortical areas.

The paper uses network analysis to compare cognitive and behavioral trait interactions between very preterm and full-term children, finding distinct topological differences in their networks.

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.

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

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