Heather Clare Whalley

The paper shows that general cognitive function is supported by a widespread white matter network across multiple brain regions and connectivity measures.

This study identifies shared genetic loci between chronic pain and depression using genome-wide association data, revealing potential molecular mechanisms underlying their comorbidity.

The paper examines how childhood maltreatment affects brain structure in 3,711 individuals with MDD and PTSD, finding age- and sex-specific brain morphometric differences.

This study identifies 52 genetic variants associated with adolescent-onset depression through a large GWAS, revealing age-specific mechanisms and potential drug targets.

This paper introduces new graph measures for brain structural connectomes, showing they better predict general cognitive function than existing measures.

This paper evaluates methods to estimate lifetime brain atrophy from a single MRI scan and identifies genetic correlates, finding that the residual method best captures brain shrinkage and has strong heritability.

The paper describes a large DNA methylation dataset from the Generation Scotland cohort, providing methylation profiles and associated phenotypes for research purposes.

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

This study uses normative modeling to analyze cortical thickness deviations in MDD patients and healthy controls, finding large overlaps and significant heterogeneity in extreme deviations across individuals.

The paper identifies brain regions most related to general cognitive function and links them to neurobiological properties using meta-analysis and multimodal cortical maps.

This study examines how birthweight, socioeconomic status, and adult health influence late-life brain volumes and dementia risk.

This study shows that rare CNVs and PRS-IQ increase ASD risk independently of their effects on cognitive ability, suggesting ASD risk and cognitive ability are distinct outcomes of these variants.

The paper identifies general and specific patterns of cortical gene expression related to cognitive functioning using principal component analysis and validates them across datasets.

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

The paper identifies DNA methylation and proteomic markers associated with brain health through integrated methylome and phenome analyses.

This study evaluates 21 machine learning algorithms for predicting brain age from sMRI data in youth, finding Extreme Gradient Boosting, Random Forest Regression, and Support Vector Regression with Radial Basis Function Kernel as the top performers.

This study calculates pathway-based polygenic risk scores for schizophrenia using gene-sets related to synaptic function and histone modification, and finds associations with neuroimaging and clinical traits in UK Biobank.

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.

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

This study identifies three dimensions of cortical ageing in the human brain and links the most general dimension to cognitive decline across multiple domains in older adults.

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

The paper investigates associations between polygenic risk scores for schizophrenia, psychotic-like experiences, and structural brain network properties in healthy UK Biobank participants.

The paper associates eQTL-derived gene expression scores with white matter microstructure in UK Biobank, identifying 8 significant genetic proxies linked to structural connectivity traits.

This study identifies DNA methylation loci associated with age-by-sex interactions in a cohort of 2,586 individuals, finding most significant loci are X-linked and linked to disease-related genes.

The paper examines brain age trajectories in young individuals with and without familial risk of mood disorder, finding decelerated brain maturation in those who later develop the disorder.

This paper conducts GWAS on two epigenetic age acceleration measures, identifying genetic variants and genes associated with each, and highlighting differences in their genetic architectures.

The paper identifies a neurobiological distinction in MDD subtypes based on SCZ polygenic risk, showing varying RACC thickness differences between MDD cases and controls.

The paper examines the relationship between white matter microstructure and longitudinal depressive symptoms in mid-late life, finding significant associations across different measures of symptomatology.

This study identifies 29 differentially methylated sites associated with respiratory function and COPD, showing improved prediction of COPD risk when added to clinical models.

This study examines associations between vascular risk factors and brain MRI indices in UK Biobank, finding that higher vascular risk is linked to poorer brain health across macro- and microstructural measures.