Advanced Neuroimaging Techniques and Applications

This paper investigates the diffusion properties of DW-SSFP MRI sequences and introduces new signal representations to improve microstructural characterization in fixed tissue.

The paper aligns developmental timelines between mice and humans using diffusion MRI to map white matter pathway maturation and finds species-specific differences in brain development.

The paper analyzes the myelin g ratio from first principles, identifies artifacts in current methodologies, and proposes a framework for accurate interpretation.

This study compares ADC-fMRI and BOLD-fMRI to show ADC-fMRI provides complementary insights into brain function by detecting neuromorphological activity in white matter and revealing functional organisation of visual pathways.

This study investigates longitudinal brain structure changes during pregnancy and finds reduced gray matter volume and increased white matter neurite density, linked to hormone levels.

The paper identifies genetic and connectivity gradients that organize cortical patterning along three topographic axes.

This study examines age-related changes in diffusion properties of brain metabolites in cerebral and cerebellar grey matter using diffusion-weighted MR spectroscopy, finding non-significant trends in diffusivity and kurtosis with age.

This study uses differential tractography to quantify white matter changes in GM1 patients and controls, showing degradation in patients and growth in controls, with correlations to clinical scores.

This paper introduces a novel method to map the aggregate g-ratio of white matter tracts using multi-modal MRI and compares it to conventional tractometry in healthy adults.

This study develops a diffusion MRI protocol to simultaneously characterize brain and spinal cord microstructure using DTI, SMI, and SANDI, showing high image quality and reproducibility with some challenges in the spinal cord.

This study shows body size parameters significantly correlate with brain and spinal cord MRI metrics and should be included in neuroimaging studies.

This study links neuron-axon-synapse architecture to white matter vasculature in primates using multimodal MRI and other techniques, finding correlations between vascular patterns and axonal features.

This study investigates whether frequency-dependent diffusion-relaxation MRI can provide meaningful information or if it leads to overfitting in different tissue types and frequency ranges.

This study quantifies crossing tracts and bottleneck regions in fetal brain white matter using diffusion MRI, finding high prevalence of both features compared to adult brains.

This paper introduces a deep-learning method for segmenting fiber bundles in histological tracing data, achieving 80% true positive rate with limited manual labels.

This study evaluates ADC-fMRI's dependence on haemodynamics during breath-hold and resting-state conditions, finding it less affected by vascular contributions compared to dfMRI and BOLD.

The paper investigates MD and MK changes in rat brains during somatosensory stimulation, finding they reflect neural activity with higher sensitivity than BOLD.

This study shows that NODDI metrics better predict Alzheimer's disease pathology and cognitive decline than traditional diffusion tensor imaging metrics in medial temporal lobe white matter.

The paper estimates NEXI parameters in human cortex using a clinical MRI scanner and evaluates their repeatability and relationship to myelin water fraction.

The paper applies the BENCH framework to link diffusion MRI signal changes to microstructural features in brain tissue using histology data.

This paper shows that free water elimination improves tractometry reliability and accuracy in aging brains using a large cohort and provides open-source software for this technique.

The paper examines if diffusion metrics in grey matter predict cognitive performance in older adults and finds some metrics predict specific cognitive tasks better than others.

The paper applies implicit neural representations to improve diffusion MRI modeling by leveraging spatial correlations and generating continuous FODs.

This paper introduces a Riemannian diffusion kernel method for continuous structural connectivity on cortical surfaces, showing improved density estimation compared to spherical heat kernels.

This paper introduces a hierarchical framework for fitting crossing fibre models to diffusion MRI data, enabling consistent and comparable fibre-specific parameters across subjects.

The paper compares structure-function relationships in axons using multiple modalities, finding that different methods capture different aspects of axon diameter and conduction velocity distributions.

This paper introduces FMQ Regression to analyze white matter microstructure and its relationship to cognitive and motor factors, finding stronger associations in bundle periphery and sex-specific differences.

This study introduces NAT, a tool for analyzing auditory tract maturation in infants using diffusion MRI, and links it to speech production and motor skills.

This study constructs a spatiotemporal atlas of fetal white matter tracts using dMRI, revealing developmental patterns of FA and MD across gestational weeks 22-37.

This study introduces MINT, a framework that jointly models white matter microstructure and macrostructure to better detect anomalies in MCI and dementia, showing improved sensitivity compared to traditional diffusion metrics.