Richard J Beare

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

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

Heterogeneous, temporally consistent, and plastic brain development after preterm birth

The paper shows that brain abnormalities after preterm birth are spatially heterogeneous but temporally consistent and plastic in response to social environments.

Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

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.

Mild traumatic brain injury is associated with increased thalamic subregion volume in the subacute period following injury

This study finds increased thalamic subregion volume in mTBI patients compared to trauma controls in the subacute period using MRI and Bayesian analysis.

A longitudinal resource for population neuroscience of school-age children and adolescents in China

The paper introduces a longitudinal dataset of school-age children and adolescents in China, detailing its design, sampling, and neuroimaging measurements.

Brain charts for the human lifespan

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

Participant followup rate can bias structural imaging measures in longitudinal studies

The paper investigates how participant dropout affects structural MRI measures in longitudinal studies, finding that it can bias brain metric estimates and group differences.

Individual variation underlying brain age estimates in typical development

This study examines individual variation in brain age prediction using machine learning models and finds significant between-subject differences in feature importance despite consistent overall patterns.

Cortical remodelling in childhood is associated with genes enriched for neurodevelopmental disorders

This study links childhood cortical thinning patterns with gene expression gradients, identifying genes involved in synaptic remodeling and neurodevelopmental disorders.

Parcellation of the neonatal cortex using Surface-based Melbourne Children’s Regional Infant Brain atlases (M-CRIB-S)

This paper introduces surface-based versions of neonatal brain atlases and evaluates their parcellation accuracy compared to manual labels and an adult-derived atlas.

Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence

This study uses non-negative matrix factorisation to identify cortical regions co-varying with connectivity subnetworks in children and adolescents, finding age-related changes in cortical thickness and connectivity.

Desikan-Killiany-Tourville Atlas Compatible Version of M-CRIB Neonatal Parcellated Whole Brain Atlas: The M-CRIB 2.0

The paper updates the M-CRIB neonatal brain atlas to align with the Desikan-Killiany-Tourville adult atlas and FreeSurfer subcortical segmentations, resulting in a more compatible and accurate whole-brain parcellation.

Marker-based watershed transform method for fully automatic mandibular segmentation from low-dose CBCT images

Modelling neuroanatomical variation due to age and sex during childhood and adolescence

This study models age and sex-related neuroanatomical variation during childhood and adolescence using multimodal imaging data and machine learning, achieving accurate age prediction and sex classification.

Network component analysis reveals developmental trajectories of structural connectivity and specific alterations in autism spectrum disorder

The paper uses network component analysis to study brain connectivity development and identifies altered subnetworks in autism spectrum disorder.