Simon Richard White

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.

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

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 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 paper introduces a Bayesian framework using exponential random graph models to characterise group-level brain connectivity patterns across different age groups using resting-state fMRI data.

The paper demonstrates how fine-tuning BioBERT can accurately identify functional protein links from text, improving upon conventional methods and offering guidelines for data creation.

BaseQTL detects eQTLs from RNA-seq data with or without genotypes, showing consistent results and identifying a psoriasis-specific effect for GSTP1.

The paper identifies age-related waves of cortical myelination and demyelination using micro-structural MRI markers in humans across the lifespan.

This study investigates how individual differences in non-dynamic features affect dynamic functional connectivity estimates in fMRI data and shows that common methods can detect spurious group differences.