Richard A. I. Bethlehem

The paper examines layer-specific microstructural asymmetry in the human cortex, finding anterior-posterior patterns linked to function and heritability.

The paper examines sex differences in brain structure at birth in newborns, finding larger brain volumes in males and specific regional differences in gray and white matter volumes between sexes.

This study investigates the cerebellum's role in cognitive aging using large datasets, finding that cerebellar volume is associated with better cognitive outcomes and protection against decline.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

The paper examines how morphometric similarity in brain regions changes during adolescence, finding distinct developmental patterns in paralimbic versus neocortical areas.

The paper maps developmental changes in structural and functional brain organisation across neurotypical and neurodivergent individuals, showing stable gradients with plastic coupling in higher-order networks.

The paper evaluates individual differences and reproducibility of FC-based TMS targets using UK Biobank data, finding large variability in peak locations and no significant difference between common targets and random locations.

This study identifies 928 genes associated with brain weight variation across three datasets and links them to neurodevelopmental processes and brain function.

The paper investigates the association between obesity and two brain systems using MRI data from UK Biobank participants, finding distinct structural and genetic relationships.

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

This study examines functional asymmetry in autism, finding reduced leftward asymmetry in language networks and altered developmental trajectories of functional lateralization.

The paper investigates genetic influences on inter-individual differences in the sensorimotor-association axis of cortical organisation using twin data from the Human Connectome Project.

The paper introduces MIND, a method to estimate structural similarity networks from brain MRI, showing improved consistency with known biology and genetic heritability.

The paper identifies new cortical gene expression components linked to neurodevelopment and finds associations with autism and schizophrenia across multiple data types.

GWAS of 2,347 neuroimaging phenotypes identifies genetic loci and structures related to cortical development, cellular processes, and neurodevelopmental disorders.

The paper examines asymmetry in cortical functional organization between humans and macaques, finding phylogenetic conservation and species-specific adaptations.

The paper examines sex differences in brain network development during adolescence and links them to depression risk, finding divergent patterns in functional connectivity and gene expression.

The paper examines how genetic and phylogenetic factors influence structure-function coupling in the human transmodal cortex and finds reduced genetic control in regions linked to social cognition and memory.

This paper introduces a deep graph neural network combining GNNs and TCNs to model spatio-temporal dynamics in rs-fMRI data, showing explainable neurobiological insights.

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.

This study identifies shared and distinct structural brain differences in children with autism and anxiety, using neuroimaging data from 82 participants.

The paper identifies atypical genomic cortical patterning in autistic toddlers with poor early language outcome, linking it to prenatal developmental processes and later functional specialization.

This study examines structural and functional brain network development in adolescents, finding that structural wiring changes correlate with functional differentiation.

The paper combines connectome analysis and computational models to show autism has altered subcortico-cortical interactions linked to microcircuit and macroscale network anomalies.

The paper uses manifold learning to analyze longitudinal structural connectome data, showing expansion in transmodal regions during adolescence and linking it to cognitive outcomes.

This study uses sequential Bayesian analysis to examine if face-specific neural responses relate to cognitive empathy or age, finding no significant associations.

The paper examines age-related changes in functional brain networks using gradient mapping techniques in a cohort of 643 participants, finding shifts in network positions and increased dispersion linked to cognitive decline.

This paper predicts brain age using graph neural networks integrated with multimodal data, showing robustness to noise and graph sparsity.

The paper develops a phenotypic stratification model to predict autism subtypes based on SC-RRB balance and applies it to fMRI data, identifying subtype-specific neural circuitry and gene expression patterns.

This study examines how oxytocin affects salivary testosterone and oestradiol levels in autistic and typical women, finding distinct hormonal responses between groups.