Richard A. I. Bethlehem

Beyond organ age gaps: comparing plasma proteomic metrics of organ biology in relation to brain structure and neurodegenerative disease.

The paper compares three plasma proteomic metrics across organ systems to assess their associations with brain structure and neurodegenerative disease, finding distinct relationships and modest predictive value.

Polygenic effects on cortical size and ADHD converge on a mid-gestational progenitor-to-neuron transition programme

The paper identifies a mid-gestational molecular mechanism linking cortical size and ADHD through genetic and single-cell RNA sequencing analyses.

Polygenic hierarchies of macroscale brain structural organisation

The paper identifies polygenic hierarchies in macroscale brain structural organisation using genome-wide association studies of imaging-derived phenotypes.

MIND the gap: methodological considerations and guidance for structural MRI similarity network analysis with MIND

The paper provides methodological guidance for using MIND, a structural MRI similarity metric, and demonstrates how input properties affect its accuracy using simulated and observational data.

Charting neuroimaging-based head circumference and cranial shape across development

CranioTrace automates head circumference and cranial shape measurement from neuroimaging, enabling population growth modeling and identifying disease-related growth trajectory shifts.

Brain charts for neuroanatomical sex differences across the human lifespan

The paper models age-varying sex differences in brain structure using MRI data from 100,000 individuals, showing consistent sex biases that increase with age and are influenced by neuropsychiatric disorders.

The Earliest Impressions: A Systematic Review of Early-Life Exposures on Brain Structure and Neurodevelopmental Outcomes

This review examines how prenatal and early postnatal biological, psychological, and social exposures affect brain development and neurodevelopmental outcomes, finding adverse exposures are linked to poorer outcomes.

The genetic architecture of cortical similarity networks

The paper investigates genetic effects on cortical similarity networks using MRI data and finds two genetically determined gradients linked to brain evolution and neuropsychiatric risks.

Genetic basis of dynamic brain states reveals cellular and disease associations

This study identifies genetic factors influencing dynamic brain states from fMRI data and links them to cellular processes and complex traits.

ComBat-Predict enhances generalizability of neuroimaging models to new sites

ComBat-Predict improves the generalizability of neuroimaging models to new sites by harmonizing site effects and reducing bias in cortical thickness predictions.

Associations between the environment, brain, mental health, and cognition across adolescence

The paper examines how environmental factors influence brain structure, cognition, and mental health in adolescents using the ABCD dataset, finding that advantageous environments correlate with better developmental outcomes.

Functional connectome harmonics capture early brain organization and maturity in neonates

This study uses functional connectome harmonics to analyze neonatal brain gradients and finds that power and energy metrics differ between term and preterm neonates, predicting postmenstrual age.

Integrating Functional Transdiagnostic Dimensions of Psychopathology with Cortical Organization

The paper identifies a latent variable linking resting-state functional connectivity and psychopathology in children and adolescents, revealing a neurotypical-neurodivergent continuum.

Mapping Brain Growth and Sex Differences Across Prenatal to Postnatal Development

This study analyzes a large MRI dataset to model age-related brain volume changes and sex differences from prenatal to postnatal development.

Calibration of MRI-based reference intervals to new samples

This paper introduces ReForm, a method to calibrate MRI-based reference intervals for new samples without sharing reference data, showing comparable or better false positive rate control than alternative methods.

Conditional-longitudinal brain growth charts detect MRI changes with birth weight and psychopathology

The paper introduces conditional-longitudinal models to analyze brain growth trajectories and finds associations between birth weight, psychopathology, and brain volume changes in adolescents.

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.

Neonatal brain volumes and birth characteristics predict behavioural outcomes in toddlerhood

The paper shows that neonatal brain volumes and birth factors predict developmental and socioemotional outcomes in toddlers.

skiftiTools: An R package for reading, writing, analysing, and visualising, tract-based spatial statistics (TBSS) derived diffusion MR images

skiftiTools enables statistical analysis and visualization of TBSS-derived diffusion MRI data using R, supporting advanced modeling and data manipulation.

Cortical myelination networks reflect neuronal gene expression and track adolescent age in marmosets

The paper uses MRI data from marmosets to show that myelination networks correlate with gene expression in specific neurons and track age across cortical regions.

Cell-type-specific DNA methylation dynamics in the prenatal and postnatal human cortex

This study identifies cell-type-specific DNA methylation dynamics in the human cortex across development, highlighting prenatal periods as critical for epigenomic plasticity and linking changes to neurodevelopmental disorders.

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.

The overlapping genetic architecture of psychiatric disorders and cortical brain structure

This study identifies shared genetic loci between psychiatric disorders and cortical brain structure using genome-wide association data from over 700,000 individuals.

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.

Charting structural brain asymmetry across the human lifespan

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.

ComBatLS: A location- and scale-preserving method for multi-site image harmonization

ComBatLS improves multi-site image harmonization by preserving biological variance in features, outperforming existing methods in sex-imbalanced site scenarios and reducing sex biases.

Comparing Brain-Behavior Relationships Across Dimensional, Tail-Sampled, and Propensity-Matched Models

The paper compares brain-behavior associations across different sampling models using ABCD Study data, finding increased effect sizes with tail-sampled groups but mixed results with propensity-matched models.

GWAS of macro-scale resting state functional brain networks identify shared biology with brain structure and autism

This study performs a GWAS on functional brain network metrics and finds genetic overlap with brain structure and autism.

Integrating genomic variants and developmental milestones to predict cognitive and adaptive outcomes in autistic children

The paper develops predictive models for intellectual disability in autistic children by integrating genetic variants and developmental milestones, achieving an AUC ROC of 0.65 and identifying 10% of ID cases.

Study design features increase replicability in cross-sectional and longitudinal brain-wide association studies

This study shows that optimizing study design, such as increasing age variability and adding longitudinal measurements, improves replicability and effect sizes in brain-wide association studies.