James Howard Cole

Latent Representations of Early Brain Development: A Multivariate Normative Model of Brain Structure and Behaviour

This paper uses a semi-supervised autoencoder to create multivariate normative models of brain structure and behaviour in children, showing associations between structural deviations and cognitive/behavioural differences.

Lifestyle, Early-life, and Genetic Health Risk Factors Underlying the Brain Age Gap: A Mega-Analysis Across 3,934 Individuals from the ENIGMA MDD Consortium

This study identifies lifestyle, early-life, and genetic factors associated with brain age gaps in individuals with major depressive disorder compared to controls.

Multi-cohort, multi-sequence harmonisation for cerebrovascular brain age

This paper improves cerebrovascular brain age predictions by harmonizing arterial spin labeling (ASL) features across multiple cohorts using various methods, showing that ASL-specific harmonization enhances model performance.

Accelerated Aging after Traumatic Brain Injury: an ENIGMA Multi-Cohort Mega-Analysis

This study examines how brain-age differences (PAD) change over time after traumatic brain injury (TBI) using a large multi-cohort dataset.

General dimensions of human brain morphometry inferred from genome-wide association data

This study uses genomic PCA to identify shared genetic architecture between brain morphometry, ageing, and cognitive ability using UK Biobank data.

Comparable neural pathways link psychological stress and brain health in health and multiple sclerosis

The paper investigates neural pathways linking psychological stress and brain health in healthy individuals and multiple sclerosis patients, finding similar functional connectivity patterns.

A Large-Scale ENIGMA Multisite Replication Study of Brain Age in Depression

The paper replicates a brain age gap in depression using a large-scale multisite study, finding a similar effect size to a prior study.

Tissue volume estimation and age prediction using rapid structural brain scans

This study compares EPImix and conventional T1-weighted MRI scans for tissue volume estimation and brain-age prediction, finding similar results but a systematic age offset that can be corrected.

Sex differences in predictors and regional patterns of brain-age-gap estimates

The paper examines sex differences in brain-age-gap estimates using neuroimaging data from the Human Connectome Project, finding sex-specific patterns in regional brain ageing and predictors of global brainAGE.

Global brain health modulates the impact of lesion damage on post-stroke sensorimotor outcomes

This study shows that global brain health, measured by brain age, influences post-stroke sensorimotor outcomes and mediates the effect of lesion damage.

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.

Mind the gap: performance metric evaluation in brain-age prediction

This study evaluates performance metrics in brain-age prediction across datasets, showing variability based on age range, sample size, and age-bias correction.

A U-Net model of local brain-age

The paper introduces a U-Net model to estimate local brain-age from MRI scans, showing improved accuracy in specific brain regions and detecting age-related differences in neurological conditions.

Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide

This study finds that smaller spared subcortical nuclei are linked to worse sensorimotor outcomes after stroke, varying by time since stroke and type of impairment.

Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates

This paper uses a graph convolutional neural network to predict brain age in preterm neonates, showing it outperforms other methods and links brain age to future neurodevelopmental outcomes.

Rapid processing and quantitative evaluation of multicontrast EPImix scans for adaptive multimodal imaging

This paper evaluates rapid processing of multicontrast EPImix scans and shows that quantitative neuroimaging data can be obtained within minutes, enabling adaptive imaging protocols.

Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study

The paper predicts brain age using multimodal MRI data from the Whitehall II cohort and links brain aging to cardiovascular risk factors.

MetaFunPrimer: primer design for targeting genes observed in metagenomes

MetaFunPrimer designs primers for multiple functional genes using metagenomic references, improving targeting of amoA-AOB genes in soil samples compared to existing primers.

Multi-modality neuroimaging brain-age in UK Biobank: relationship to biomedical, lifestyle and cognitive factors

This study uses multi-modality neuroimaging to predict brain-age in UK Biobank, finding that brain-PAD is associated with biomedical and lifestyle factors.

Accelerated brain ageing and disability in multiple sclerosis

This study finds that multiple sclerosis accelerates brain ageing, with older-appearing brains linked to faster disability progression.

Bayesian Optimisation for Neuroimaging Pre-processing in Brain Age Prediction

This paper improves brain age prediction by using Bayesian optimisation to select optimal MRI pre-processing parameters, achieving better accuracy than default settings.