Michael A. Chappell

The paper develops a processing pipeline for arterial spin labelling MRI data from the Human Connectome Project Lifespan and finds age-related differences in cerebral perfusion and transit times.

This paper introduces a variational Bayesian approach for cerebrovascular reactivity mapping using fMRI data and compares it to a standard GLM method, showing improved computational efficiency and handling of noisy voxels.

This paper introduces a new projection method for physiological imaging data that works across modalities and produces unified surface and volumetric representations, showing improved performance when subcortical signals are involved.

This study optimizes and compares pseudo-continuous arterial spin labeling protocols for cerebral blood flow measurement, finding that a hybrid protocol provides more accurate and repeatable results.

ExploreASL provides a standardized image processing pipeline for multi-center ASL MRI studies, improving reproducibility and enabling group-level statistical analysis across diverse clinical populations.

This study uses arterial spin labelling to investigate perfusion changes in patients with musculoskeletal pain during arm repositioning, finding increased perfusion in brain regions associated with pain processing.