Martina F. Callaghan

This paper introduces a modular, cap-based design for wearable OPM-based MEG that improves accessibility and participant throughput while maintaining high signal quality and mobility.

This paper presents a lightweight, low-cost MEG system that enables brain imaging without a magnetically shielded room, achieving comparable signal-to-noise ratios to conventional systems.

This study uses fast fMRI to characterize voxelwise auditory hemodynamic response functions (HRFs) and finds diverse, reliable, and regionally specific HRFs not captured by standard models.

This study compares boundary element and finite element methods for forward modelling in magnetospinography, finding consistent results between methods but significant differences based on bone geometry representations.

This study evaluates compressed sensing in TOF-MRA at 3T and 7T, finding significant differences in CNR and vessel diameter measurements across CS factors.

The paper uses neuroimaging to compare structural and functional connectivity gradients in Parkinson's disease with normal cognition and Lewy body dementia, finding divergent patterns associated with cognitive impairment.

This paper introduces a non-invasive imaging framework combining qMRI and SRT to infer molecular features in neurodegeneration.

The paper examines how locus coeruleus integrity and fMRI activations relate to memory encoding in healthy aging and MCI.

The paper investigates the direction of communication between the hippocampus and parahippocampal cortex using fMRI, finding that predictions are communicated from the hippocampus to deep layers of the parahippocampal cortex.

This study benchmarks four cervical spinal cord RF coils at 7 T MRI across multiple centers, identifying performance differences and proposing a standardized evaluation protocol.

The paper investigates how perceptual expectations and false percepts generate distinct activity patterns in layers of the early visual cortex using fMRI.

This paper introduces QUIQI, a method to restore homoscedasticity in MRI relaxometry data by using weighted least squares, improving statistical analysis robustness.

The paper links conduction velocity in the parahippocampal cingulum bundle to autobiographical memory recall ability in healthy adults using MR g-ratio measurements.

The paper introduces a method to estimate local errors in multi-parameter mapping (MPM) neuroimaging data, improving group-level sensitivity by accounting for noise and artefacts.

The paper improves axonal volume fraction estimation in diffusion MRI by introducing linear calibration parameters, validated using ex-vivo mouse data and electron microscopy.

This paper introduces a method to estimate the orientation-independent R2* (R2,iso*) from multi-echo MRI data, showing it works best with long echo times but fails with typical in-vivo protocols.

The paper introduces a data-driven method to restore statistical validity in MRI group analyses by assigning image weights based on quality indices, improving performance across brain regions despite motion effects.

This paper reassesses WM-behaviour relationships using multimodal microstructural imaging in 50 healthy individuals, finding partial support for FA-behaviour links and suggesting multimodal approaches may better capture WM-behaviour associations.

This study improves susceptibility distortion correction in diffusion MRI data using a new pipeline, enhancing g-ratio mapping accuracy.

This study shows that motor skill learning involves coherent waves of myelin plasticity in the corticospinal-hippocampal loop, with spatial and temporal patterns linked to training performance.

This study investigates how task domain, cognitive challenge, and tDCS modulate activity in the left inferior frontal cortex using fMRI and neuromodulation data.

This study investigates whether hippocampal grey matter myelination or iron content correlates with hippocampal-dependent task performance in young adults, finding no significant associations.

This study shows that prior expectations create stimulus templates in deep layers of V1 using fMRI.

This study investigates whether hippocampal grey matter volume correlates with performance on hippocampal-dependent tasks in healthy adults and finds little evidence of such a relationship.

This paper introduces a GLM-based method to correct B1+ mapping errors in MRI by accounting for tissue properties and pulse sequence parameters, improving accuracy and robustness.

This paper presents a framework to suspend MRI data acquisition during predicted head motion to reduce artefacts, achieving improved data quality with minimal scan time increase.

The paper uses quantitative MRI to map microstructural differences in young adult cortex, finding age-related increases in myelin markers and regional variations in tissue composition.

This paper compares MEG source inversion algorithms and fit metrics to determine the laminar origin of neural activity, finding that sparsity-constrained methods and specific fit metrics improve discrimination accuracy.

The paper uses MEG to show laminar-specific frequency activity in human visual and sensorimotor cortices, with distinct roles for alpha/beta and gamma bands.