Greig Ian de Zubicaray

The paper examines genetic and environmental influences on local brain function measures (ReHo and fALFF) in adolescents, finding region-specific effects and temporal stability across two time points.

The paper creates lifespan reference curves for white matter microstructure using diffusion MRI data from multiple datasets and validates them with ApoE4 risk factor analysis.

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

The paper describes the Queensland Twin Adolescent Brain (QTAB) dataset, which includes multimodal neuroimaging, cognitive, and mental health data from adolescent twins over two sessions.

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

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

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

This study estimates the reliability and heritability of cortical folds using MRI data, finding moderate to high heritability for most sulcal metrics and regional variation in genetic influences.

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.

This study analyzes subcortical volume changes across the lifespan using MRI data from 18,605 individuals, finding age-related declines in some structures and increases in others.

The paper identifies genetic loci associated with human cortical structure and finds genetic correlations with neuropsychiatric disorders.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.