Catherine Morgan

The paper identifies thalamic volume reductions in Alzheimer's disease and shows their utility in classifying cognitive status and reclassifying patients.

This study uses multimodal MRI to find altered brain perfusion and oxygen metabolism in PCS, linked to cognitive and emotional symptoms.

This paper shows that fitting the hemodynamic response function concurrently with population receptive field models improves accuracy and reveals variability in HRFs that can affect pRF estimates.

The paper investigates how spatial frequency adaptation affects population receptive field sizes in the visual cortex using fMRI and psychophysical methods, finding that adaptation to low/high SF reduces/increases pRF sizes.

The paper demonstrates that retinotopic mapping data can accurately match participants across different fMRI datasets despite spatial warping.

This paper introduces a data-driven method to estimate connective fields for retinotopic mapping in human visual cortex, showing it can handle unconstrained eye movements and generate maps of the visual periphery.

QSMxT improves QSM processing by reducing artefacts and requiring minimal parameter tuning through a robust masking and two-pass reconstruction method.

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 identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.

The paper compares pRF estimates across different MRI scanners and assesses the impact of temporal filtering, finding comparable results between scanners but potential bias from filtering.