Shaun Warrington

DHARM is an open-source tool that diagnoses, harmonizes, and evaluates batch effects in MRI data using standardized workflows and multivariate diagnostics.

This paper presents high-resolution diffusion MRI techniques for in vivo and ex vivo macaque brain imaging at 10.5 Tesla, enabling detailed connectivity studies.

The paper develops an RF coil array system for high-resolution in vivo and ex vivo non-human primate brain imaging at 10.5 Tesla, achieving improved spatial resolution and imaging capabilities.

The paper develops an offline dMRI reconstruction pipeline and compares PCA-based and AI-based denoising methods on high-resolution dMRI data.

This paper evaluates the diffusion-weighted steady-state free precession (DW-SSFP) sequence for ex vivo macaque brain imaging at 10.5T, showing improved SNR efficiency and geometric distortion reduction.

This paper introduces standardized tractography protocols for mapping cortico-subcortical tracts in human and macaque brains, showing robustness and applicability across species.

This study compares white matter connectivity in two anthropoids and one strepsirrhine using diffusion MRI, finding greater dorsal prefrontal innervation in anthropoids.

The paper compares white matter organization between humans, chimpanzees, and macaques, identifying uniquely human connectivity profiles in areas related to language and abstract reasoning.

The paper investigates connectivity patterns in the human and monkey brain, identifying changes in fornix-related connections associated with Mild Cognitive Impairment and Alzheimer's Disease.

The paper evaluates the stability of CCA and PLS in high-dimensional datasets, finding instability in small samples and proposing a power calculator for reliable multivariate analysis.

The paper develops a resource to evaluate MRI harmonisation approaches by comparing variability across scanners, within-scanners, and biological differences using multimodal data from multiple sites.

The study quantifies corticothalamic connectivity patterns in humans and macaques, revealing distinct spatial extents associated with sensorimotor and associative cortical areas.

QuNex provides a platform for reproducible neuroimaging analytics, integrating multi-modal tools and enabling scalable, high-throughput processing across species and datasets.

This paper introduces a framework to study brain ontogeny and phylogeny by integrating connectivity maps across species and developmental stages.

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

The paper introduces XTRACT, a software package with standardised tractography protocols for automated white matter tract extraction in human and macaque brains, validated across datasets and species.